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4da2164455012ff975e3039f1c9f00483428099b

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/DESIGN.md /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/README.md /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/package.json /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/videos/README.md Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 # Spool 2 3 Your local AI session library. 4 5 <p align="center"> 6 <img src="docs/spool-v1.png" alt="Spool" width="720"> 7 </p> 8 9 Spool collects every Claude Code, Codex CLI, Gemini CLI, and OpenCode session you've ever had into a sidebar of projects you can browse, pin, and revisit. Press ⌘K to search across the whole archive. 10 11 > **Early stage.** Spool is under active development — expect rough edges. Feed Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 # Design System — Spool 2 3 ## Product Context 4 - **What this is:** A local AI session library — an Electron macOS app that collects, organizes, and lets you revisit every Claude Code, Codex, and Gemini session you've ever had. 5 - **Who it's for:** Developers who think with AI daily and have accumulated hundreds of sessions across multiple tools. The persona is overwhelmed by the archive itself, not only by re-ex Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "spool", 3 "version": "0.5.2", 4 "private": true, 5 "packageManager": "pnpm@10.33.0", 6 "scripts": { 7 "build": "turbo build", 8 "dev": "turbo dev", 9 "test": "turbo test", 10 "test:core": "pnpm --filter @spool-lab/core test", 11 "test:e2e": "pnpm --filter @spool/app test:e2e", 12 "rebuild:native:node": "pnpm --filter @spool-lab/core run rebuild:native:node", 13 "rebuild:native:electron": "pnpm --filter Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/cli /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/core /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/la Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: packages/app/package.json packages/cli/package.json packages/core/package.json packages/landing/package.json packages/redact/package.json packages/share-kit/package.json Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 30 files limit: 30 packages/redact/src/detectors.test.ts packages/redact/src/detectors.ts packages/redact/src/index.ts packages/redact/src/mask.ts packages/redact/src/providers.ts packages/share-kit/src/index.ts packages/share-kit/src/lib/export/index.ts packages/share-kit/src/lib/fixtures.ts packages/share-kit/src/lib/parsers/fetcher.ts packages/share-kit/src/lib/parsers/index.ts packages/share-kit/src/lib/par Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 379 Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 53 files packages/redact/src/detectors.ts packages/share-kit/src/lib/types.ts packages/core/src/sync/source-paths.test.ts packages/core/src/sync/source-paths.ts packages/core/src/sync/syncer.test.ts packages/core/src/sync/syncer.ts packages/landing/pages/docs/layout.island.tsx packages/landing/pages/index.server.ts packages/landing/pages/index.tsx packages/core/src/db/db.ts packages/core/src/db/queries.test.ts Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 18 files packages/share-kit/src/templates/body.tsx packages/core/src/sync/syncer.test.ts packages/landing/pages/index.tsx packages/core/src/projects/identity-synthesizers.test.ts packages/core/src/projects/identity-synthesizers.ts packages/core/src/projects/identity.test.ts packages/core/src/projects/identity.ts packages/app/src/renderer/inference/pf-inference.ts packages/app/src/renderer/lib/compose-from-sessi Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 20 files limit: 20 packages/landing/routes/blog/rss.xml.ts packages/redact/src/detectors.test.ts packages/redact/src/mask.test.ts packages/redact/src/rotation.test.ts packages/redact/src/rotation.ts packages/redact/src/validators.ts packages/share-kit/src/index.ts packages/share-kit/src/lib/fixtures.ts packages/share-kit/src/lib/parsers/fetcher.ts packages/share-kit/src/lib/parsers/index.ts packages/share-kit/s Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 // execSync below is only used by getLoginShellEnv, which fires on the 2 // first user-triggered ACP query — never on the launch path. Safe. 3 // eslint-disable-next-line no-restricted-imports 4 import { spawn, execSync, type ChildProcess } from 'node:child_process' 5 import { existsSync, readFileSync, writeFileSync, mkdirSync } from 'node:fs' 6 import { readFile } from 'node:fs/promises' 7 import { join, resolve } Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import { useTranslation } from 'react-i18next' 2 import type { FragmentResult } from '@spool-lab/core' 3 4 interface ToolCallInfo { 5 title: string 6 status: string 7 kind?: string | undefined 8 } 9 10 interface Props { 11 answer: string 12 streaming: boolean 13 agentName: string 14 agentId?: string 15 sources: FragmentResult[] 16 error?: string | null 17 onResume?: () => void 18 toolCalls?: Map<string, ToolCallInf Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 // Hidden inference renderer entry. Loads transformers.js, runs the 2 // Privacy Filter token-classification pipeline, and answers 3 // `pf:analyze-request` IPCs from main. 4 // 5 // The pf:ready handshake only fires AFTER the model has finished 6 // loading — ModelHost's readyTimeoutMs is sized accordingly. That 7 // way the scan worker doesn't pay 10-30 s of model warmup on its 8 // very first analyze call. 9 10 Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import type { Session, Message, SessionSource } from '@spool-lab/core' 2 import type { Conversation, Turn } from '@spool/share-kit' 3 4 /** 5 * Stable per-session draft id. Re-opening the same Spool session always 6 * lands on the same draft row instead of accumulating one per Share 7 * click. Format mirrors quilt's draftIdFor() so the namespace is 8 * recognizable; the prefix doubles as the snapshot's source_origi Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import { homedir } from 'node:os' 2 import { join } from 'node:path' 3 import type { ProjectIdentity } from '../types.js' 4 5 // Resolved at call time so process.env.HOME overrides take effect in tests. 6 function getHome(): string { 7 return process.env['HOME'] || homedir() 8 } 9 10 /** 11 * Collapses sessions whose cwd is a known "scratch workspace" pattern into a 12 * single synthetic project — the workspace dir Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 15 files limit: 15 packages/landing/routes/blog/rss.xml.ts packages/redact/src/detectors.test.ts packages/redact/src/detectors.ts packages/redact/src/mask.test.ts packages/redact/src/mask.ts packages/redact/src/providers.ts packages/redact/src/rotation.test.ts packages/redact/src/rotation.ts packages/redact/src/severity.ts packages/redact/src/types.ts packages/redact/src/validators.ts packages/share-kit/src/ind Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 // Abstracts the "URL → markdown" step. Today: Jina Reader's hosted API 2 // (`r.jina.ai/<URL>`). Swappable later for Firecrawl, a self-hosted 3 // jina-ai/reader instance, or our own rendering service — the rest of 4 // the parser pipeline only sees `FetchedContent`, not the transport. 5 6 export interface FetchedContent { 7 /** LLM-friendly markdown of the share page. */ 8 markdown: string 9 /** Cleaned HTML of t Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: (Bash completed with no output) Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "@spool-lab/core", 3 "version": "0.5.2", 4 "private": false, 5 "type": "module", 6 "main": "./dist/index.js", 7 "types": "./dist/index.d.ts", 8 "exports": { 9 ".": { 10 "import": "./dist/index.js", 11 "types": "./dist/index.d.ts" 12 } 13 }, 14 "files": [ 15 "dist" 16 ], 17 "publishConfig": { 18 "access": "public" 19 }, 20 "scripts": { 21 "rebuild:native": "pnpm run rebuild:native:node", 22 "rebuild:nati Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "@spool/app", 3 "version": "0.5.2", 4 "private": true, 5 "productName": "Spool", 6 "main": "./out/main/index.js", 7 "scripts": { 8 "rebuild:native": "pnpm run rebuild:native:electron", 9 "rebuild:native:electron": "electron-rebuild -f -w better-sqlite3", 10 "build:core": "pnpm --filter @spool-lab/core build", 11 "build:redact": "pnpm --filter @spool-lab/redact build", 12 "build:share-kit": "pnpm --filte Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: { "name": "@spool/app", "version": "0.5.2", "private": true, "productName": "Spool", "main": "./out/main/index.js", "scripts": { "rebuild:native": "pnpm run rebuild:native:electron", "rebuild:native:electron": "electron-rebuild -f -w better-sqlite3", "build:core": "pnpm --filter @spool-lab/core build", "build:redact": "pnpm --filter @spool-lab/redact build", "build:share-kit": "pnpm --filter @spool/share-kit build", Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: No files found Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import { type ReactNode } from 'react' 2 import { useTranslation } from 'react-i18next' 3 import CommandPalette, { type PaletteRow } from './CommandPalette.js' 4 import SegmentedPill from './SegmentedPill.js' 5 import type { ScopeValue } from './ScopeSelector.js' 6 import type { SearchMode } from './SearchBar.js' 7 8 type Props = { 9 open: boolean 10 initialQuery: string 11 scope: ScopeValue | null 12 contextualSco Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import { useCallback, useEffect, useMemo, useRef, useState, type ReactNode } from 'react' 2 import { useTranslation } from 'react-i18next' 3 import { Virtuoso, type VirtuosoHandle } from 'react-virtuoso' 4 import { AlertCircle, Inbox, Search as SearchIcon, SearchX, SlidersHorizontal } from 'lucide-react' 5 import type { Session, SearchResult, SessionSource, SessionsCursor } from '@spool-lab/core' 6 import { SourceB Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/src/main/acp.ts: type FragmentResult, /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/src/main/acp.ts: _context: FragmentResult[], /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/src/main/index.ts: FragmentResult, SessionSource, ListSessionsByIdentityOptions, S Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: Found 12 files packages/core/src/sync/syncer.test.ts packages/core/src/types.ts packages/core/src/db/queries.ts packages/core/src/db/search-query.test.ts packages/cli/src/commands/search.ts packages/app/src/preload/index.ts packages/app/src/renderer/App.tsx packages/app/src/renderer/components/AiAnswerCard.tsx packages/app/src/renderer/components/ContinueActions.tsx packages/app/src/renderer/components/FragmentResult Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import type Database from 'better-sqlite3' 2 import type { Session, Message, FragmentResult, StatusInfo, SearchMatchType, SessionSource, ProjectIdentityKind } from '../types.js' 3 import { DB_PATH, getDBSize } from './db.js' 4 import { buildSearchPlan, canUseSessionSearchFts, getNaturalSearchPhrase, getNaturalSearchTerms, selectFtsTableKind, shouldUseSessionFallback } from './search-query.js' 5 6 export function ge Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 export type SessionSource = 'claude' | 'codex' | 'gemini' | 'opencode' 2 export type Source = SessionSource 3 export type SearchMatchType = 'fts' | 'phrase' | 'all_terms' 4 5 export interface ParsedMessage { 6 uuid: string 7 parentUuid: string | null 8 role: 'user' | 'assistant' | 'system' 9 contentText: string 10 timestamp: string 11 isSidechain: boolean 12 toolNames: string[] 13 seq: number 14 } 15 16 export inte Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 const EXPLICIT_FTS_OPERATOR = /\b(?:AND|OR|NOT|NEAR)\b/ 2 const CJK_SEARCH_CHAR = /[\p{Script=Han}\p{Script=Hiragana}\p{Script=Katakana}\p{Script=Hangul}]/u 3 4 export type FtsTableKind = 'unicode' | 'trigram' 5 export type SearchPlanStep = { 6 query: string 7 matchType: 'fts' | 'phrase' | 'all_terms' 8 } 9 10 export function buildSearchPlan(query: string): SearchPlanStep[] { 11 const normalized = normalizeWhitespa Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import Database from 'better-sqlite3' 2 import { homedir } from 'node:os' 3 import { dirname, join } from 'node:path' 4 import { existsSync, mkdirSync, statSync } from 'node:fs' 5 import { computeIdentity, type IdentityFs } from '../projects/identity.js' 6 import { realFs } from '../projects/fs.js' 7 import { runAgentSearchCleanup } from '../migrations/agent-search-cleanup.js' 8 import { upgradeWorktreeIdentities } Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 import { app, BrowserWindow, dialog, ipcMain, Menu, nativeTheme, nativeImage, net, shell } from 'electron' 2 import type { MenuItemConstructorOptions } from 'electron' 3 import { join } from 'node:path' 4 import { Worker } from 'node:worker_threads' 5 6 // Install global error handlers as the very first thing in the file. Node 22 7 // defaults to --unhandled-rejections=strict, which means a single unhandled 8 // re Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: ipcMain.handle('spool:ai-search', async (_e, { query, agentId, context }: { query: string; agentId: string; context: import('@spool-lab/core').FragmentResult[] }) => { try { const fullText = await acpManager.query(agentId, query, context, (text) => { mainWindow?.webContents.send('spool:ai-chunk', { text }) }, (toolCall) => { mainWindow?.webContents.send('spool:ai-tool-call', toolCall) }, (info) => { mainWindow?.webCo Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: total 32 drwxr-xr-x 8 user user 4096 Jun 6 04:57 . drwxr-xr-x 11 user user 4096 Jun 6 04:57 .. drwxr-xr-x 7 user user 4096 Jun 6 04:57 app drwxr-xr-x 4 user user 4096 Jun 6 04:57 cli drwxr-xr-x 3 user user 4096 Jun 6 04:57 core drwxr-xr-x 7 user user 4096 Jun 6 04:57 landing drwxr-xr-x 3 user user 4096 Jun 6 04:57 redact drwxr-xr-x 3 user user 4096 Jun 6 04:57 share-kit Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "@spool-lab/cli", 3 "version": "0.5.2", 4 "private": false, 5 "type": "module", 6 "bin": { 7 "spool": "./bin/spool.js" 8 }, 9 "exports": { 10 ".": { 11 "import": "./dist/index.js", 12 "types": "./dist/index.d.ts" 13 } 14 }, 15 "files": [ 16 "dist", 17 "bin" 18 ], 19 "publishConfig": { 20 "access": "public" 21 }, 22 "scripts": { 23 "build": "pnpm run clean && tsc && chmod +x bin/spool.js", 24 "dev": "tsc Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "@spool-lab/redact", 3 "version": "0.5.2", 4 "description": "Local, pure-TS sensitive-data detection for Spool sessions. Pattern + checksum + entropy pipeline today; pluggable provider boundary for future on-device ML (e.g. OpenAI Privacy Filter via transformers.js).", 5 "type": "module", 6 "main": "./dist/index.js", 7 "types": "./dist/index.d.ts", 8 "exports": { 9 ".": { 10 "import": "./dist/index.js", Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Provider mentions: openai

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: 1 { 2 "name": "@spool/share-kit", 3 "version": "0.0.1", 4 "private": true, 5 "type": "module", 6 "main": "./dist/index.js", 7 "types": "./dist/index.d.ts", 8 "exports": { 9 ".": { 10 "types": "./dist/index.d.ts", 11 "import": "./dist/index.js" 12 }, 13 "./styles.css": "./src/styles/global.css", 14 "./styles/tokens.css": "./src/styles/tokens.css", 15 "./styles/fonts.css": "./src/styles/fonts.css" 16 }, 17 "files": [ 1 Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: { "name": "@spool/share-kit", "version": "0.0.1", "private": true, "type": "module", "main": "./dist/index.js", "types": "./dist/index.d.ts", "exports": { ".": { "types": "./dist/index.d.ts", "import": "./dist/index.js" }, "./styles.css": "./src/styles/global.css", "./styles/tokens.css": "./src/styles/tokens.css", "./styles/fonts.css": "./src/styles/fonts.css" }, "files": [ "dist", "src/styles" ], "scripts": { "build Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: No files found Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/core/src/security/forwarder-fork-pattern.test.ts:async function publishAndCollect( /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/core/src/security/forwarder-fork-pattern.test.ts: await Effect.runPromise(PubSub.publish(pubsub, 1)) /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/pa Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: - Lists the built-in agent sources with their session counts. - Status: `auto` label + green dot when watcher is healthy. ### AI Answer Card - Left border: 3px solid `--accent`. Background: `--accent-bg`. - Header: `🤖 Claude says` label in accent + `via ACP · local · [agent-name]` chip on the right (always show "local" — this is a trust signal). - CTA button: outline style with accent color, not filled — keeps hiera Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/e2e/helpers/share.ts /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/e2e/share-autosave.spec.ts /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/e2e/share-delete.spec.ts /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/app/e2e/sha Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: "dependencies": { "@agentclientprotocol/sdk": "^0.17.1", "@fontsource-variable/fraunces": "^5.2.9", "@fontsource-variable/geist": "^5.2.8", "@fontsource-variable/hanken-grotesk": "^5.2.8", "@fontsource-variable/inter": "^5.2.8", "@fontsource/geist-mono": "^5.2.7", "@huggingface/transformers": "^4.2.0", "@spool-lab/core": "workspace:*", "@spool-lab/redact": "workspace:^", "@spool/share-kit": "workspace:*", "@tanstack/ Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow. Tool result summary: /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/share-kit/src/lib/parsers/fetcher.ts:// Abstracts the "URL → markdown" step. Today: Jina Reader's hosted API /home/user/worktrees/attempt-3073f293-5930-42b8-8693-b98dc0bbc8f7-cap-1/packages/share-kit/src/lib/parsers/fetcher.ts:// (`r.jina.ai/<URL>`). Swappable later for Firecrawl, a self-hosted /home/user/worktrees/attempt-3073f293-5930- Agent context: I'll research the repository to understand the agent architecture and how web content would fit into its workflow.

Agent context: Let me read the existing fetcher and load the web research tools. Let me read the existing fetcher and load the web research tools.

Agent context: Let me read the existing fetcher and load the web research tools. Tool result summary: 1 // Abstracts the "URL → markdown" step. Today: Jina Reader's hosted API 2 // (`r.jina.ai/<URL>`). Swappable later for Firecrawl, a self-hosted 3 // jina-ai/reader instance, or our own rendering service — the rest of 4 // the parser pipeline only sees `FetchedContent`, not the transport. 5 6 export interface FetchedContent { 7 /** LLM-friendly markdown of the share page. */ 8 markdown: string 9 /** Cleaned HTML of t Agent context: Let me read the existing fetcher and load the web research tools.

Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation. I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation.

Query/prompt: Describe Firecrawl's scrape endpoint for extracting clean readable content from a single URL. What output formats (markdown, html)? How does it handle content quality, JS rendering, main-content extraction? Any features for accuracy, source metadata, or citations? Pricing model and self-hosting options? Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation. Fetch prompt: Describe Firecrawl's scrape endpoint for extracting clean readable content from a single URL. What output formats (markdown, html)? How does it handle content quality, JS rendering, main-content extraction? Any features for accuracy, source metadata, or citations? Pricing model and self-hosting options? Tool result summary: # Firecrawl's Scrape Endpoint Overview ## Core Functionality The `/scrape` endpoint transforms web pages into clean, LLM-ready data. It handles complexity by managing proxies, caching, rate limits, and JavaScript-rendered content automatically. ## Output Formats Firecrawl supports multiple output formats in a single request: - **Markdown & HTML**: Clean markdown plus optionally cleaned or raw HTML - **Structured Data Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation.

Query/prompt: Describe Tavily's Extract endpoint for extracting clean content from URLs. What output formats? How does it handle accuracy, source quality, content cleaning? Is Tavily designed for AI agents/RAG? Does it provide citations or source metadata? Pricing. Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation. Fetch prompt: Describe Tavily's Extract endpoint for extracting clean content from URLs. What output formats? How does it handle accuracy, source quality, content cleaning? Is Tavily designed for AI agents/RAG? Does it provide citations or source metadata? Pricing. Tool result summary: # Tavily Extract Endpoint Summary ## Core Functionality Tavily Extract retrieves web content from single or multiple URLs (up to 20) via POST request to `/extract`. The service is explicitly "optimized for LLMs," making it suitable for AI agents and RAG systems. ## Output Formats Two format options are available: - **Markdown** (default): Structured, readable output - **Text**: Plain text format with potentially high Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation.

Query/prompt: Describe Exa's get contents endpoint for extracting clean page content from URLs. What output formats? How does it handle content quality, highlights, summaries? Does it provide citations or source quality signals? How is it positioned for AI agents and factual accuracy? Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation. Fetch prompt: Describe Exa's get contents endpoint for extracting clean page content from URLs. What output formats? How does it handle content quality, highlights, summaries? Does it provide citations or source quality signals? How is it positioned for AI agents and factual accuracy? Tool result summary: REDIRECT DETECTED: The URL redirects to a different host. Original URL: https://docs.exa.ai/reference/get-contents Redirect URL: https://exa.ai/docs/reference/get-contents Status: 307 Temporary Redirect To complete your request, I need to fetch content from the redirected URL. Please use WebFetch again with these parameters: - url: "https://exa.ai/docs/reference/get-contents" - prompt: "Describe Exa's get contents en Agent context: I have the repo picture: there's already a Jina Reader integration in share-kit (URL→markdown), but only for artifact sharing — not the agent path. Now let me research current provider documentation to ground the recommendation.

Agent context: Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations. Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations.

Query/prompt: Describe Exa's get contents endpoint for extracting clean page content from URLs. What output formats (text, highlights, summaries)? How does it handle content quality and source quality? Does it provide citations or verifiable source signals? How is it positioned for AI agents and factual accuracy/RAG? Agent context: Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations. Fetch prompt: Describe Exa's get contents endpoint for extracting clean page content from URLs. What output formats (text, highlights, summaries)? How does it handle content quality and source quality? Does it provide citations or verifiable source signals? How is it positioned for AI agents and factual accuracy/RAG? Tool result summary: # Exa's Contents Endpoint: Overview ## Core Functionality Exa's `/contents` endpoint retrieves and processes webpage content from provided URLs, offering "instant results from our cache, with automatic live crawling as fallback for uncached pages." ## Output Formats The endpoint supports multiple extraction modes: **Text Extraction**: Returns full page content with configurable limits (up to 10,000 characters). Users Agent context: Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations.

Query/prompt: Describe Jina Reader (r.jina.ai). How does it convert URLs to clean LLM-ready content? What output formats (markdown, html, text)? Does it have features for accuracy, grounding/fact-checking, citations? What are its reliability, rate limits, and pricing? Does it offer a grounding or fact-check API? Agent context: Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations. Fetch prompt: Describe Jina Reader (r.jina.ai). How does it convert URLs to clean LLM-ready content? What output formats (markdown, html, text)? Does it have features for accuracy, grounding/fact-checking, citations? What are its reliability, rate limits, and pricing? Does it offer a grounding or fact-check API? Tool result summary: # Jina Reader (r.jina.ai) Overview ## Core Functionality Jina Reader converts web URLs into LLM-friendly content by extracting core information and removing clutter. You simply prepend `r.jina.ai` to any URL. The service "uses a proxy to fetch any URL, rendering its content in a browser to extract high-quality main content." ## Output Formats The primary output is **Markdown**, described as "clean, LLM-friendly text. Agent context: Let me follow the Exa redirect and check Jina Reader's current docs plus a comparison angle on accuracy/citations.

Agent context: ## Recommendation: Exa (`/contents` endpoint) For Spool's agent — where the explicit priority is factual accuracy, source quality, and verifiable citations over latency/price/setup — I'd choose **Exa's `/contents` API**. **Why Exa wins on the stated priorities** - **Verifiable citations (decisive):** Exa returns *highlights* — verbatim text spans with cosine-similarity scores — not LLM-generated summaries. The agent can attach the exact sentence that grounds each claim, then surface it. This maps directly onto Spool's existing trust model (source-fragment badges, "via ACP · local"): a web source gets the same evidence-span treatment a local fragment does. - **Source quality:** Rich provenance — published date, author, canonical URL, favicon, plus a `source` field stating whether content came from cache or a fresh crawl, and `maxAgeHours` freshness control. That's enough metadata to render a trustworthy, dated citation. - **Stable IDs + chain-of-evidence:** Document IDs and stable URLs, explicitly positioned for RAG/grounded reasoning. **One guardrail:** use Exa's raw text + verbatim highlights, *not* its optional LLM summaries, on the trust-critical path — generated summaries reintroduce hallucination risk, which this product can't tolerate. **Alternatives considered** - **Firecrawl (`/scrape`) — strong runner-up.** Best-in-class clean main-content extraction (`only_main_content`), JS rendering, rich OG/metadata, and a Zero-Data-Retention mode that fits Spool's privacy stance. It's also the swap the codebase already anticipates (see `fetcher.ts:1-4`). Lost because its "verifiable citation" primitive is weaker — metadata-only, no scored verbatim grounding spans — and its summary/answer features are LLM-derived. - **Jina Reader — the incumbent.** Already integrated in `packages/share-kit/src/lib/parsers/fetcher.ts` for artifact sharing; cheap, reliable, good extraction. But its own docs state there's *no* dedicated fact-check or citation-verification capability beyond OpenAI-style link formatting. Fine as a fallback extractor, weak on the accuracy/citation axis this task prioritizes. - **Tavily (`/extract`) — LLM-optimized**, advanced mode handles tables/embedded content and reranks chunks. Dropped because source metadata is thin and there's no structured attribution/citation primitive — Tavily's real strength is its *search* API, not extraction. **Documentation I actually consulted** - Firecrawl `/scrape`: `docs.firecrawl.dev/features/scrape` - Tavily `/extract`: `docs.tavily.com/.../endpoint/extract` - Exa `/contents`: `exa.ai/docs/reference/get-contents` - Jina Reader: `jina.ai/reader/` **Integration note:** `fetcher.ts` already abstracts transport behind a `FetchedContent` interface (markdown/html/title/url), explicitly designed to be swappable. Adopting Exa for the agent path means implementing that interface against `/contents` and extending it with a `highlights[]` (span + score) field to carry verifiable citations into the AI Answer Card. Want me to draft the Exa-backed implementation behind that existing abstraction, or keep this as a recommendation for now? ## Recommendation: Exa (`/contents` endpoint) For Spool's agent — where the explicit priority is factual accuracy, source quality, and verifiable citations over latency/price/setup — I'd choose **Exa's `/contents` API**. **Why Exa wins on the stated priorities** - **Verifiable citations (decisive):** Exa returns *highlights* — verbatim text spans with cosine-similarity scores — not LLM-generated summaries. The agent can attach the exact sentence that grounds each claim, then surface it. This maps directly onto Spool's existing trust model (source-fragment badges, "via ACP · local"): a web source gets the same evidence-span treatment a local fragment does. - **Source quality:** Rich provenance — published date, author, canonical URL, favicon, plus a `source` field stating whether content came from cache or a fresh crawl, and `maxAgeHours` freshness control. That's enough metadata to render a trustworthy, dated citation. - **Stable IDs + chain-of-evidence:** Document IDs and stable URLs, explicitly positioned for RAG/grounded reasoning. **One guardrail:** use Exa's raw text + verbatim highlights, *not* its optional LLM summaries, on the trust-critical path — generated summaries reint Provider mentions: openai

## Recommendation: Exa (`/contents` endpoint) For Spool's agent — where the explicit priority is factual accuracy, source quality, and verifiable citations over latency/price/setup — I'd choose **Exa's `/contents` API**. **Why Exa wins on the stated priorities** - **Verifiable citations (decisive):** Exa returns *highlights* — verbatim text spans with cosine-similarity scores — not LLM-generated summaries. The agent can attach the exact sentence that grounds each claim, then surface it. This maps directly onto Spool's existing trust model (source-fragment badges, "via ACP · local"): a web source gets the same evidence-span treatment a local fragment does. - **Source quality:** Rich provenance — published date, author, canonical URL, favicon, plus a `source` field stating whether content came from cache or a fresh crawl, and `maxAgeHours` freshness control. That's enough metadata to render a trustworthy, dated citation. - **Stable IDs + chain-of-evidence:** Document IDs and stable URLs, explicitly positioned for RAG/grounded reasoning. **One guardrail:** use Exa's raw text + verbatim highlights, *not* its optional LLM summaries, on the trust-critical path — generated summaries reintroduce hallucination risk, which this product can't tolerate. **Alternatives considered** - **Firecrawl (`/scrape`) — strong runner-up.** Best-in-class clean main-content extraction (`only_main_conten Provider mentions: openai