Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
LLM-powered knowledge base from your Claude Code, Codex CLI, Copilot, Cursor & Gemini sessions. Karpathy's LLM Wiki pattern — implemented and shipped.
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# llmwiki > **LLM-powered knowledge base from your Claude Code, Codex CLI, Cursor, Gemini CLI, and Obsidian sessions.** > Built on [Andrej Karpathy's LLM Wiki pattern](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f). ## 👉 Live demo: **[pratiyush.github.io/llm-wiki](https://pratiyush.github.io/llm-wiki/)** Rebuilt on every `master` push from the synthetic sessions in [`examples/demo-sessions/`](examples/demo-sessions). No personal data. Shows every feature of the real tool (activity heatmap, tool charts, token usage, model info cards, vs-comparisons, project topics) running against safe reference data. [](LICENSE) [](https://www.python.org/) [](CHANGELOG.md) [](tests/) [](https://github.com/Pratiyush/llm-wiki/actions/workflows/ci.yml) [](https://github.com/Pratiyush/llm-wiki/actions/workflows/link-check.yml) [](https://github.com/Pratiyush/llm-wiki/actions/workflows/wiki-checks.yml) [](https://github.com/Pratiyush/llm-wiki/pkgs/container/llm-wiki) [](https://claude.com/claude-code) [](https://github.com/openai/codex) [](https://github.com/features/copilot) [](https://cursor.com) [](https://ai.google.dev/gemini-api) [](https://obsidian.md) --- Every Claude Code, Codex CLI, Copilot, Cursor, and Gemini CLI session writes a full transcript to disk. You already have hundreds of them and never look at them again. **llmwiki** turns that dormant history into a beautiful, searchable, interlinked knowledge base — locally, in two commands. Plus, it produces AI-consumable exports (`llms.txt`, `llms-full.txt`, JSON-LD graph, per-page `.txt` + `.json` siblings) so other AI agents can query your wiki directly. ```bash ./setup.sh # one-time install ./build.sh && ./serve.sh # build + serve at http://127.0.0.1:8765 ``` **Want LLM-enriched wiki pages from the CLI?** After `./setup.sh`, `llmwiki sync` only fills `raw/`. To populate `wiki/sources/` (semantic summaries), set `synthesis.backend` in `examples/sessions_config.json` (`ollama` for local Ollama, or keep `dummy` for stubs), then run `llmwiki synthesize` or chain it with `llmwiki all --with-synth`. See [docs/modes/api/](docs/modes/api/) and `llmwiki sync --status` for the current backend hint. ```bash llmwiki sync llmwiki all --with-synth --graph-engine builtin # synthesize → build → graph → export → lint ```  **Contributing in one line:** read [`CONTRIBUTING.md`](CONTRIBUTING.md), keep PRs focused (one concern each), use `feat:` / `fix:` / `docs:` / `chore:` / `test:` commit prefixes, never commit real session data (`raw/` is gitignored), no new runtime deps. CI must be green to merge. ## Screenshots All screenshots below are from the **public demo site** which is built on every `master` push from the dummy example sessions. Your own wiki will look identical —
Excerpt of 37,430 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:7a01d719c2444383, topic:copilot, topic:developer-tools
matched fp:7a01d719c2444383, topic:llm
matched fp:7a01d719c2444383, topic:mcp