remindb
Reduces token overhead for agentic systems by 75–99%, directly lowering inference costs and latency.
An agentic memory database that cuts session tokens by 75–99%. One portable SQLite file — your agent's memory, anywhere.
- Reduce AI agent memory costs by storing conversation history in SQLite instead of token context.
- Persist agent state across multiple sessions without reloading entire conversation logs.
- Query agent memory efficiently to retrieve relevant past interactions for context windows.
Reduces token overhead for agentic systems by 75–99%, directly lowering inference costs and latency. Single-file SQLite deployment eliminates infrastructure complexity for memory persistence.
Teams building cost-sensitive AI agents requiring persistent context across sessions without external databases.
https://github.com/radimsem/remindb
By radimsem
How to Get It
claude plugins install radimsem/remindb
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After installing, paste this into Claude:
Help me reduce AI agent memory costs by storing conversation history in SQLite instead of token context
Trust Signals Auto-scanned
Community Pulse Growing
Discussed on Hacker News
- Time Management Tips — Hacker News · 2 pts
- Coloring a Graphic Novel – Part 2 — Hacker News · 2 pts
- Show HN: Remindbee – Turn your visitors into customers — Hacker News · 1 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 100 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
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Evaluation
Scored from trust signals (evidence-eval-v1): 100 GitHub stars; contributors unknown; last commit 0d ago; license MIT.