Cognitive AI Memory MCP server
io.github.sachitrafa/cognitive-ai-memory·v1.0.2·270 starsEbbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.
270 stars
Reviews
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If you have run it, two minutes of your experience saves the next person an afternoon.
Cognitive AI Memory tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-09-27 · same rubric, same numbers if you re-run it
- –Code scanpackage could not be scannedn/a
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 8 days ago15/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
How Cognitive AI Memory compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 88/100
- higher than 75% of 48,255 servers
- GitHub stars
- 270
- more than 95% of 28,688 servers
Install Cognitive AI Memory in Claude Code, Cursor or VS Code
claude mcp add cognitive-ai-memory -- docker run -i --rm ghcr.io/your-memory/cognitive-ai-memory:1.0.2
What the publisher says
From the Cognitive AI Memory repository's README, as published. We do not edit it. Read it on GitHub
<!-- mcp-name: io.github.sachitrafa/yourmemory --> YourMemory
Your AI has the memory of a goldfish. Not anymore.
Persistent, self-improving memory for AI agents — built on the science of how humans remember.
▶ Try the live interactive demo · Website · Benchmarks
The problem
Every morning your AI agent treats you like a stranger. Same context re-explained. Same preferences forgotten. Every session starts from zero.
Most "memory" tools bolt a vector database onto an agent and call it done — but that's just storage. It hoards every near-duplicate until retrieval drowns in noise. A goldfish with a bigger bowl.
YourMemory is different: memory that works like a brain, not a database.
flowchart LR
A["🧠 You tell your<br/>AI something"] --> B["Extract durable<br/>facts"]
B --> C["Dedup + embed<br/>+ graph-link"]
C --> D[("Memory<br/>store")]
D -->|"related facts pile up"| E["✨ Consolidate<br/>N → 1 summary"]
D -->|"stale + unused"| F["📉 Decay<br/>+ prune"]
D -->|"new session"| G["♻️ Recall<br/>hybrid + graph"]
E --> D
G --> H["🤖 Your agent<br/>picks up where<br/>it left off"]
style D fill:#0a2540,stroke:#19cdff,color:#fff
style E fill:#0c2b3a,stroke:#5eead4,color:#fff
style H fill:#0c2b3a,stroke:#19cdff,color:#fff✨ What makes it different
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Cognitive AI Memory: common questions
- Is Cognitive AI Memory MCP server safe?
- Yes, by our scan: it is graded A (88/100). Read the Cognitive AI Memory safety report
- How do I install Cognitive AI Memory?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Cognitive AI Memory need an API key?
- No secret keys are declared. It reads 3 settings from the environment.
- Is Cognitive AI Memory maintained?
- The last commit was 45 days ago (2026-09-19). The latest release is v1.0.2.
- What can I use instead of Cognitive AI Memory?
- Servers from other publishers that do the same job: State Memory MCP server and Knowl MCP server.
- How does Cognitive AI Memory compare with other MCP servers?
- safety score 88/100 (higher than 75% of 48,255 servers); github stars 270 (more than 95% of 28,688 servers). Full comparison.
Alternatives to Cognitive AI Memory
Same job from other publishers: the closest match first, then the best rated.
State Memory MCPPersistent workflow graph server tracking tasks, decisions, spatial entities, and blockers.not reviewedEstablishedA
KnowlPersistent memory for AI agents, for code, research and everyday life. Stale facts retire.not reviewedEstablishedA