mimir

Name: mimir Review
Item: mimir
Rating: 3.1
Author: Aaron Matthews

Skill Data & Analytics Usable

Works inClaude Code

Usable Scanned — metadata only

Persistent memory enables AI agents to retain context across sessions without cloud dependencies, reducing inference costs and improving response consistency…

Mimir — persistent memory for AI agents. MCP-native. SQLite + FTS5. Fully local.

Store and retrieve conversation history across multiple agent sessions without API calls
Search past interactions using full-text indexing to find relevant context for current tasks
Build agent memory systems that persist locally without cloud dependencies or data exposure

33 starsMIT (commercial OK)Free

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Persistent memory enables AI agents to retain context across sessions without cloud dependencies, reducing inference costs and improving response consistency for long-running automation workflows.

Best for

Engineering teams building stateful AI agents or autonomous systems requiring local, searchable context management without external memory services.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Perseus-Computing-LLC/mimir

By Perseus-Computing-LLC

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 Perseus-Computing-LLC/mimir

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

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me store and retrieve conversation history across multiple agent sessions without API calls

CostFree

Trust Signals Auto-scanned

Stars33Contributors6Last updated2026-07-25LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 33 GitHub stars; 6 contributors; last commit 0d ago; license MIT.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

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 Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

4/5

Security

4/5

Overall score3.15 / 5.00 UsableEvaluatedJul 2026

Scored from trust signals (evidence-eval-v1): 33 GitHub stars; 6 contributors; last commit 0d ago; license MIT.

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