FeedRecall

Your feed is an inbox, not a knowledge base.

FeedRecall turns likes, bookmarks, saved links, repositories, videos, and articles into persistent project-aware memory for AI agents. It runs locally, keeps an evidence trail, and exposes the same memory to Codex, Claude Code, Cursor, and other MCP clients.

Why

Saving a discovery is only the beginning:

capture -> enrich -> classify -> connect to projects -> verify -> test -> adopt or reject

FeedRecall remembers both what a source claimed and what you or your agents later observed. Six months later, an agent can avoid recommending a tool that already failed your Windows test.

Related MCP server: x-bookmarks-mcp

Quick start

npm install
npm run build
node dist/cli.js init
node dist/cli.js import examples/discoveries.json
node dist/cli.js import-projects examples/projects.json
node dist/cli.js search "Roblox MCP"
node dist/cli.js serve

The canonical database is ~/.feedrecall/feedrecall.db, so local agents share one memory even when they run from different project folders. Set FEEDRECALL_HOME only when you intentionally want an isolated vault.

Optional local enrichment requires Ollama and a local model:

ollama pull qwen3:4b
node dist/cli.js process --model qwen3:4b

Then connect the local MCP server:

node dist/cli.js install-client codex
node dist/cli.js install-client claude
node dist/cli.js install-client cursor

What v0.1 includes

• Local SQLite storage and full-text search.

• Idempotent JSON and URL imports.

• Processing, evidence, and decision lifecycles.

• Projects with transparent relevance scores.

• Timeline queries using published, first-seen, and last-seen dates.

• Read/write MCP tools with explicit annotations.

• Local dashboard and browser capture extension.

• Optional local enrichment through Ollama; core features work without it.

Capture without the X API

FeedRecall does not require the paid X API. Load the unpacked extension from extension/, open your Likes or Bookmarks page while already signed in, and export the posts visible in your browser. FeedRecall never asks for your X password and never stores browser cookies.

The extension captures only posts currently rendered in the page. Scroll, scan, export, then import the JSON. Repeating the flow is safe: stable source identifiers prevent duplicate memories while firstSeenAt and lastSeenAt preserve the timeline.

Public post URLs can also be enriched with local collectors such as gallery-dl and yt-dlp. Network sources are treated as untrusted data, never executable instructions.

Privacy

• Local-first by default; no telemetry.

• No remote model provider in the core application.

• Tokens, cookies, and passwords are not accepted in imports.

• The public repository contains only synthetic examples.

• Destructive social cleanup is intentionally outside v0.1.

Roadmap

• v0.1 Memory: import, enrich, classify, search, timeline, MCP.

• v0.2 Projects: project objects, context packs, collections, stronger relevance.

• v0.3 Intelligence: opportunities, experiments, decisions, agent feedback loop.

• v1 Knowledge OS: discover, understand, suggest, test, implement, remember.

See docs/PRODUCT_PLAN.md for the product model and release plan, and docs/ROADMAP.md for acceptance criteria and boundaries.

Architecture

Browser / JSON / URL connectors
              |
              v
        SQLite + FTS5
              |
      +-------+--------+
      |                |
 Local cockpit     MCP server
                       |
          Codex / Claude Code / Cursor

ChatGPT desktop, Codex CLI, and the Codex IDE extension share the same local MCP configuration, as described in the official Codex MCP documentation. ChatGPT web requires a future remote, authenticated plugin and is intentionally outside this local-first release.

Contributing and security

See CONTRIBUTING.md and SECURITY.md. Never attach a real personal vault or browser export to a public issue.

License

Apache-2.0