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rekal

Skill Data & Analytics Early

Long-term memory for LLMs. MCP server backed by hybrid search in a single SQLite file.

38 starsMIT (commercial OK)FreeQuick setup
New Find — Recently discovered. Looks promising but has limited community feedback so far. We added it early so you can evaluate it before the crowd finds it.

Gives LLMs long-term memory backed by hybrid search in a portable SQLite file, so agents remember and retrieve relevant context reliably. Simple to deploy and move, with no external database required.

Developers building agents that need durable, searchable memory without the overhead of managing a separate database service.

Claude Code Claude Cowork Claude Chat

https://github.com/janbjorge/rekal

By janbjorge

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install janbjorge/rekal

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Discovered

Stars38Last updated2026-04-16T09:07:55ZLicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-16 · scanner v1

Community Pulse Emerging

Discussed on Hacker News

3 mentions across 1 sources

Reviewer notes

Discovered review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 34d ago; license MIT.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 EarlyEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 38 GitHub stars; contributors unknown; last commit 34d ago; license MIT.

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