An MCP server giving AI agents associative memory, modelled on the human mind. The name comes from engraphy, the old memory-science term for laying down an engram, the trace a memory leaves in the brain. Self-hosted: typed graph on Postgres and pgvector. Source-available under BSL 1.1.
- capability exposure inferred + 22
- recent drift inferred + 20
- tool safety inferred + 5
- trust mitigators mixed − 3
inferred mixed
The A–E grade is our heuristic synthesis — a "review this" prompt, not a verdict. Each factor is tagged by what backs it: attested (a verifiable record), reported (a third party's claim), or inferred (our own heuristic, e.g. permissions). See methodology.
grade last moved 1w ago · see ecosystem CVEs →
- C · 36 → C · 44
No known CVEs for this server.
- medium dangerous code
dynamic exec: __import__(), __import__ sink
analyzed commit bc3dfdf · analyzer v33 · 12h ago
skills & prompt files 4
danger signals2
- dynamic code execution __import__() devon-clarkk-engraphy-bc3dfdf/deploy/windows/engraphy_win.py :816
probe("the MCP server builds", lambda: __import__( - dynamic code execution __import__ sink devon-clarkk-engraphy-bc3dfdf/scripts/check_windows_event_loop.py :71
env={**__import__("os").environ, "ENGRAPHY_DATABASE_URL": DEAD_DSN}, check=False,
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:devon-clarkk/engraphy/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 devon-clarkk.