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.
Athena is a local-first agentic PKM that helps you make better decisions with your own context — persistent memory, structured reasoning, and governed AI agents that work across any LLM. Own the state. Rent the intelligence.
| Date | Stars |
|---|---|
| 2026-07-24 | 543 |
| 2026-07-25 | 544 |
| 2026-07-28 | 544 |
| 2026-07-30 | 544 |
| 2026-07-31 | 554 |
| 2026-08-06 | 554 |
Today
— stars today
This week
+10 stars this week
This month
— stars this month
Momentum
45.0
growth rate 1.84%/day
 <div align="center"> # Project Athena **AI-native personal knowledge management for your AI agents.** Capture what you learn, retrieve it when relevant, and carry your context between models — a local-first memory, reasoning, and governance layer for any LLM, across ChatGPT, Claude, Gemini, and whatever you switch to next. Own the state. Rent the intelligence. Platforms forget. Athena doesn't. *Most assistants remember you so they can agree with you faster. Athena remembers you so it can tell you when you're wrong.* [](https://github.com/winstonkoh87/Athena-Public/stargazers) [](LICENSE) [](docs/CHANGELOG.md) [](https://www.reddit.com/r/ChatGPT/comments/1r1b3gl/) [](https://codespaces.new/winstonkoh87/Athena-Public) [Quickstart](#-quickstart) · [How It Works](#-how-it-works) · [Validation Status](#-validation-status--whats-proven-vs-whats-proposed) · [Docs](docs/GETTING_STARTED.md) · [FAQ](Athena-Public.wiki/FAQ.md) · [Safety](SAFETY.md) · [Contributing](CONTRIBUTING.md) *Last updated: 24 July 2026* </div> --- ## The Problem You've spent months training ChatGPT to understand you. Then a model update resets the personality. Your custom instructions stop working. You can't find that conversation from last Tuesday. And if you switch to Claude or Gemini? **You start from zero.** Platform memory is **unreliable, opaque, and locked to one provider**. You don't own it, you can't inspect it, and you can't take it with you. ## Why Athena? Athena moves the memory layer to **your machine**. Plain Markdown files that you own, version-control, and point at any model. - **🧠 Your Memory, Your Machine** — Files on your disk, not in OpenAI's cloud. Read them, edit them, git-version them. - **🔌 Switch Models Freely** — Claude today, Gemini tomorrow, GPT next week. The memory stays. The model is just whoever's on shift. - **📈 It Compounds** — Session 500 recalls patterns from session 5. The durable asset isn't the code — it's your data: anyone can fork Athena; nobody can fork your sessions. That's a personal continuity advantage, not vendor lock-in — the files move with you. Honest caveat: compounding needs curation. Keep the `/end` loop running; unpruned memory decays like any archive. [→ The Compounding Effect](Athena-Public.wiki/The-Compounding-Effect.md) - **⚡ 2K–20K Token Boot** — Scales to the task. Lightweight chat (~2K) → `/start` (~10K) → `/ultrastart` (~20K). 80–98% of your context window stays free, even after 10,000 sessions. - **🔬 Meta-Game Reasoning** — Generic LLMs optimise *within* the game you're playing. Athena asks whether you should be playing that game at all. [→ Meta-Game Thesis](docs/concepts/Meta_Game_Thesis.md) - **🛡️ Governed Autonomy** — 6 constitutional laws, 4 capability levels, bounded agency. > *A generic LLM is a brilliant amnesiac. Athena is the hippocampus — the memory that makes intelligence useful.* > > *Or in engineering terms: The LLM is the engine. Athena is the chassis, the memory, and the rules of the road. Swap the engine anytime — the car remembers every road you've driven.* > > *The design philosophy: [augment the human, not replace them](docs/concepts/Grace_Protocol.md). After 1,900+ sessions, the bottleneck shifted — [optimising the operator is now higher-leverage than optimising the AI](docs/USER_DRIVEN_RSI.md#phase-2-optimising-the-operator).* ### The Human Augmentation Thesis Athena's centralised design principle: **augment hu
Excerpt of 56,426 characters
Read on GitHub
662
11
8
3
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1e02526b95b4fb96, topic:rag, topic:graphrag, topic:memory
matched fp:1e02526b95b4fb96, topic:vector-search, topic:semantic-search
matched fp:1e02526b95b4fb96, topic:ai-agents, desc:ai agents, readme:ai agents