github Python not analyzable

doobidoo/mcp-memory-service

github

not analyzable — no source code found to analyze

Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.

maintainer
doobidoo
license
Apache-2.0
first seen
2026-05-22
last seen
2026-07-09
releases · 30d
0
short id
risk insufficient evidence

Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.

Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.

graded 3m ago · see ecosystem CVEs →

risk trajectory 1 movements
  • A · 0 A · 7
vulnerabilities 0 CVEs

No known CVEs for this server.

tool safety all quiet

No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.

other grade factors evidence elsewhere
embed badge readme-ready
live risk-grade badge preview [![MCP Observatory risk grade](https://mcpobservatory.com/servers/github:doobidoo/mcp-memory-service/badge.svg)](https://mcpobservatory.com/servers/github:doobidoo/mcp-memory-service/security)

Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of doobidoo.