Ai Memory MCP
Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, OpenClaw, and any MCP client. 97.8% R@5 on LongMemEval. Pure SQLite FTS5, zero cloud dependencies.
Is Ai Memory MCP safe? Thin or incomplete trust evidence. Review carefully before production use.
Compare Ai Memory MCP
How does it stack up against its MCP Servers neighbours?
- SharePoint MCP Server +0.1 higher
- Genieacs MCP same score
- tdmcp — TouchDesigner MCP server same score
In detail: Ai Memory MCP scores 53.9/100 (Grade C), ranked #824 of 1325 tracked open-source AI agent projects, on evidence coverage C (2 of 5 independent signal types). The public evidence: no package-provenance attestation found; OSSF Scorecard rates its supply-chain practices 4.5/10; 100% of recent commits are signed; last pushed 2026-09-26. Every point is earned from checkable signals — never paid placement. How scoring works →
How Ai Memory MCP compares in MCP Servers
- #461 SharePoint MCP Server 54.0 +0.1
- #462 Genieacs MCP 53.9 ±0
- #463 Ai Memory MCP 53.9 this agent
- #464 tdmcp — TouchDesigner MCP server 53.9 ±0
- #465 SeedanceMCP 53.9 ±0
Bars show each HVTrust score; the tick marks Ai Memory MCP’s 53.9.
Where the 53.9 comes from
HVTrust dimensions vs the MCP Servers average
53.9 / 100 · 100.0% confidenceAi Memory MCP MCP Servers average (775 agents)
Quick Trust Read
How to read this: HVTrust (0–100) weighs supply-chain signals (provenance, OSSF Scorecard, signed commits, open license) alongside real-world adoption. Grade C reflects the trust score band: A ≥ 80, B ≥ 65, C ≥ 50, D < 50. Evidence coverage C is separate — it grades how many independent signal types back the score (2 of 5), so a high score on thin evidence stays visible. Full methodology →
Rank Trend
Activity & Reach
Analysis
Activity Inputs
55.0 / 100Supply Chain Trust
Common questions about Ai Memory MCP
Does Ai Memory MCP publish package provenance?
Does Ai Memory MCP have an OpenSSF Scorecard?
Is Ai Memory MCP actively maintained?
What license does Ai Memory MCP use?
Are Ai Memory MCP's commits signed?
Not a safety endorsement. HVTracker describes what public signals show, not whether a project is safe for your use case. Run your own security review before adopting in production.
AI agent surface
MCP, providers, tool surface
These runtime-trust fields — detected from public repo docs and manifests — contribute a bounded adjustment to this project's HVTrust score alongside supply-chain evidence. The exact values each field can add or subtract are documented in the methodology → Compare this surface across every listed agent in the capability matrix →
- MCP signal live
- External deps live
- Tool / plugin surface live
- Package provenance drift live
Detected changes to Ai Memory MCP's runtime surface and supply-chain posture, from daily public-signal snapshots. A change here means our detectors see something different — a genuinely changed capability, or better evidence of an existing one.
Maintain Ai Memory MCP?
For maintainers
HVTrust scores Ai Memory MCP from public signals only — we never contact maintainers first. If a signal is wrong, stale, or missing (provenance you publish, a Scorecard you run, signed releases), tell us and we'll review it. Corrections are public and tracked on GitHub.
Reputation Timeline
Signal history
Embed Badge Badge guide for maintainers →
For maintainers
[](https://hvtracker.net/agents/ai-memory-mcp)
<a href="https://hvtracker.net/agents/ai-memory-mcp"><img src="https://hvtracker.net/badge/ai-memory-mcp.svg" alt="HVTrust"></a>
Other agents in MCP Servers
GitHub REST API (repo, commits, stars, forks, license) · OpenSSF Scorecard CLI
Each agent's signals refresh once daily across 6 staggered batches. Methodology v4.3 · Raw JSON