dfrostar/neuralmind
v3.9.0Persistent memory for AI coding agents. Your agent learns your codebase the way a senior engineer would — what files go together, what you usually edit next. Works with Claude Code, Cursor, Cline, Continue. 100% local. (Side effect: 12-50× cheaper code questions.)
- capability exposure inferred + 35
- recent drift inferred + 20
- tool safety inferred + 5
- trust mitigators mixed − 9
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 3d ago · see ecosystem CVEs →
- C · 57 → C · 51
- C · 49 → C · 57
- C · 57 → C · 49
- C · 52 → C · 57
- C · 57 → C · 52
- C · 49 → C · 57
- A · 0 → C · 49
No known CVEs for this server.
- medium dangerous code
dynamic exec: __import__ sink
analyzed commit 8e509d0 · analyzer v33 · 4h ago
skills & prompt files 3
danger signals2
- dynamic code execution __import__ sink dfrostar-neuralmind-8e509d0/neuralmind/doc_evolver.py :651
__import__("os").environ.get("NEURALMIND_DOC_EVOLVER_POPULATION", POPULATION_SIZE) - dynamic code execution __import__ sink dfrostar-neuralmind-8e509d0/neuralmind/mcp_server.py :1308
transport_raw = __import__("os").environ.get("NEURALMIND_MCP_TRANSPORT", "")
- recent drift +20 capability drift →
[](https://mcpobservatory.com/servers/github:dfrostar/neuralmind/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 dfrostar.