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memesh-llm-memory

Skill Data & Analytics Early

The lightest universal AI memory layer. One SQLite file, any LLM, zero cloud. MCP + HTTP + CLI. Smart Recall, Knowledge Evolution, Auto-Capture, Interactive Dashboard.

6 starsMIT (commercial OK)Free
Early Access — SQLite single-file design limits concurrent writes and scales poorly beyond small-to-medium deployments; requires manual schema versioning for memory structure changes. Dashboard and smart recall quality depend heavily on prompt engineering and indexing strategy.

Reduces hallucination and context loss in LLM applications by persisting conversation state locally without cloud dependency, eliminating vendor lock-in and latency overhead for teams running private deployments.

Engineering teams building LLM-powered internal tools requiring persistent memory without external infrastructure costs.

Claude Code Claude Cowork Claude Chat

https://github.com/PCIRCLE-AI/memesh-llm-memory

By PCIRCLE-AI

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 PCIRCLE-AI/memesh-llm-memory

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

CostFree

Trust Signals Auto-scanned

Stars6Contributors4Last updated2026-04-17LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-18 · 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.

Auto-assessment from April sweep — baseline scores pending hands-on review.

2026-04-18: Approved in April sweep: New and small but has a clear description and recent commits — worth tracking.

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
3/5
Reliability
3/5
Security
3/5
Overall score3.00 / 5.00 EarlyEvaluatedApr 2026

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