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mnemostack

Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback,

6 starsupdated 12d agogithub ↗
77fair
▣ Overview
PyPIPython versionsCILicense: Apache 2.0
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
100
35.0
Freshness
25%
100
25.0
Adoption
20%
9
1.7
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
76.7
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecevalsecrets
◆ Risk level: high
fs read + fs write + network + exec + eval + secrets active — can execute code, access credentials, and make external network calls.
⚙ Install config
Claude Desktop · Cursor · Windsurf · VS Code (Copilot) · Claude Code
add to your MCP client config:
{
  "mcpServers": {
    "mnemostack": {
      "command": "uvx",
      "args": [
        "mnemostack"
      ]
    }
  }
}
📈 Score historylast 34 snapshots
5/25/20267/21/2026 · 34 snapshots
⚙ Maintenance health
76/ 100 · is this project alive?
contributors (1y)5
top contributor share62%
releases (1y)25
last release2d ago
median issue response9.3d
ci✓ passing
⛁ Raw data
weekly downloads0
github stars6
forks2
open issues0
license✓ present
readme length60388 chars
last publish12d ago
last commit12d ago
last updated11d ago
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mnemostack — MCP Score: 77/100 | MCPScore | Timeahead