AI Summary
I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API keys.
Rekal – Long-term memory for LLMs in a single SQLite file
- Hacker News
I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API keys.
Best for
Teams evaluating AI product workflows / Builders comparing emerging tools / Operators tracking early category shifts
Why it matters
Primary discovery source is Hacker News.
Key Features
- Primary public product URL is https://github.com/janbjorge/rekal.
- Description: I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API....
- GitHub repository is linked as janbjorge/rekal.
- Listed on Hacker News as "Rekal – Long-term memory for LLMs in a single SQLite file".
- Source description: I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API....
Use Cases
- Primary discovery source is Hacker News.
- A public GitHub repo is available for direct technical review.
- Hacker News mention is recent (2026-04-12).
- Primary public product URL is https://github.com/janbjorge/rekal.
- Description: I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API....
Why Now
Rekal – Long-term memory for LLMs in a single SQLite file is appearing on fresh discovery surfaces, so it is worth reviewing while momentum is still forming. Confidence is currently medium (49/100), so treat this as an early signal rather than a settled trend.
Community Signals
Trend score
2.5
24h momentum
Rising
Hacker News points
2
Rising
Facts / Signals / Inference / Unknowns
Facts
- Listed on Hacker News as "Rekal – Long-term memory for LLMs in a single SQLite file".
- Source description: I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API....
- Source publish date is 2026-04-12.
- Description: I got tired of repeating myself to my LLM every session. rekal is an MCP server that stores memories in SQLite and retrieves them with hybrid search (BM25 + vectors + recency decay). One file, local embeddings, no API....
- GitHub repository is linked as janbjorge/rekal.
- Primary public product URL is https://github.com/janbjorge/rekal.
Signals
- Hacker News mention is recent (2026-04-12).
- A public GitHub repo is available for direct technical review.
- Primary discovery source is Hacker News.
Inference
- Public code access can lower evaluation friction for developer audiences.
Unknowns
- Documentation is not explicitly linked in the current allowed evidence set.
- No tagline is stored on the current product record.
- Pricing details are not explicitly linked in the current allowed evidence set.
- Recent changelog or release history is not explicitly linked in the current allowed evidence set.
- Release cadence cannot be confirmed unless a changelog or release link is explicitly provided.
Evidence Snapshots
Rekal – Long-term memory for LLMs in a single SQLite file
Listed on Hacker News as "Rekal – Long-term memory for LLMs in a single SQLite file".
Rekal – Long-term memory for LLMs in a single SQLite file GitHub repository
GitHub repository is linked as janbjorge/rekal.
Rekal – Long-term memory for LLMs in a single SQLite file official profile
Primary public product URL is https://github.com/janbjorge/rekal.