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.
The knowledge compiler. Raw sources in, interlinked wiki out. Inspired by Karpathy's LLM Wiki pattern.
| Date | Stars |
|---|---|
| 2026-07-31 | 1852 |
| 2026-08-04 | 1871 |
| 2026-08-06 | 1871 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
35.0
growth rate 0.00%/day
# llmwiki [](https://github.com/atomicstrata/llm-wiki-compiler/actions/workflows/ci.yml) [](https://www.npmjs.com/package/llm-wiki-compiler) [](https://llmwiki.atomicstrata.ai) [](LICENSE) > **New in 1.0:** Configurable Lifecycle Profiles turn llmwiki into a reusable domain knowledge substrate. Declare typed entities, relations, lifecycle gates, workflows, artifacts, connectors, and retrieval policy in one validated profile. Start with the built-in `autosci` research pack or the deliberately different `newsroom` editorial pack, or install a local declarative template. --- ## What llmwiki does Compile raw sources into an interlinked, citation-traceable markdown wiki that agents and humans can browse, query, lint, export, and reuse. The default profile preserves the classic concepts-and-queries layout; optional profiles add domain-specific types and workflows without adding domain branches to the compiler. llmwiki implements the [LLM Wiki](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) pattern: instead of re-discovering knowledge from raw files at query time, compile it once into durable pages that accumulate structure, provenance, review state, and retrieval metadata over time.  ## When to use this repo Use llmwiki when you need a persistent knowledge base from raw material: - Compile papers, notes, READMEs, transcripts, PDFs, images, or web pages into typed wiki pages. - Give agents a stable, citation-aware context pack instead of a pile of loose files. - Keep generated knowledge auditable with source citations, review queues, freshness checks, and quality gates. - Browse the result locally, query it from the CLI, expose it over MCP, or embed it through the SDK. - Exchange compiled knowledge with other tools using Open Knowledge Format (OKF), JSON, JSON-LD, GraphML, Marp, and `llms.txt`. Do not use llmwiki as a general static-site generator, a heavy ontology database, or a replacement for ad-hoc search over fast-changing raw logs. It is strongest when source knowledge is worth compiling, reviewing, and reusing. ## What you get - **Compiled wiki, not chunks.** A two-phase LLM pipeline extracts concepts, then generates typed pages: `concept`, `entity`, `comparison`, and `overview`. - **Configurable Lifecycle Profiles.** A fail-closed `.llmwiki/profile.json` can declare entity schemas, typed relations, lifecycle state machines, transition requirements, workflows, artifacts, connectors, content tiers, and retrieval policy. - **Installable domain templates.** `llmwiki template init autosci` creates a research project with papers, ideas, experiments, manuscripts, evidence artifacts, workflows, and Crossref import. `newsroom` demonstrates the same machinery for editorial work. - **Runtime trust gates.** Relation, evidence, artifact, and human/agent gates are enforced by the write path rather than left as prompt conventions; standing lint detects drift after the fact. - **Citation-traceable output.** Paragraphs and claims cite source files and line ranges, and `llmwiki lint` validates the links. - **Hybrid retrieval.** Semantic chunk search, BM25 reranking, and wikilink graph expansion build compact evidence packs for queries and agents. - **Local viewer.** `llmwiki view` opens a read-only browser UI with search, page metadata, graph exploration, source-freshness badges, and citation chips. - **Review policy.** Generated pages can be auto-held for review when confidence, contradiction, schema, or provenance rules trip. - **Freshness repair.** `llmwiki lint` and `llmwiki next` surface stale/orphaned pages; `llmwiki refresh --stale` repairs c
Excerpt of 24,454 characters
Read on GitHub
117
5
3
2
2
2
1
1
1
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:b69fb48e947cec5c, topic:llm
matched fp:b69fb48e947cec5c, topic:context-engineering