4,000 Memories.
Zero Babysitting.
The autonomous "Second Brain" that makes engineering context durable.
Local-first. Logged. Repeatable.
> /start
✅ Core Identity loaded.
✅ Project State synced. (4,203 nodes)
✅ Semantic Memory primed.
🟢 SYSTEM READY.
> Waiting for command...
The Problem
Codebases rot. Context gets lost. Same problems solved twice.
- Notes scattered across docs, chats, terminals, repos
- Same questions re-researched weekly
- No consistent memory + no consistent execution loop
Athena is my attempt to make engineering context durable.
The Receipts
Query in. Context out. Action logged.
⭐ 13 stars on GitHub · 750+ cloners
What Athena Is (and Isn't)
- Is: A personal RAG system for knowledge recall + agentic execution
- Is: An operating system for my engineering workflow
- Isn't: A chatbot or consumer product
- Isn't: Magic — everything is logged, repeatable, auditable
The Loop
How data moves through Athena.
graph LR
A[Query] --> B[Hybrid Retrieval]
B --> C[Context Pack]
C --> D[LLM Reason]
D --> E[Execute]
E --> F[Log + Write-back]
F -.-> A
Why Hybrid Search?
Semantic alone misses keywords. BM25 alone misses intent. Hybrid (RRF) gives best recall.
Why Write-back Memory?
Every decision is quicksaved. Tomorrow's Athena knows what today's Athena decided.
Operator Evidence
This isn't a demo. I use it daily.
09:12 /start sprint
10:47 /recall portfolio-v2.1-spec
14:03 /quicksave "Deployed Athena page rebuild"
22:18 /end
Want to build something like this?
Internal AI systems. Ops automation. Knowledge engines.
Let's Build →- Best for teams with repeated research + SOPs
- Works with your docs + repos
- Can be local-first / private