Persistent memory, reflection & safety for AI agents. No vector DB, no embedding server — BM25 + multi-hop retrieval runs in-process. Hosted MCP server with 31 tools. MIT licensed.
Last commit November 3, 2026, 7 days ago.
81 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
Starts at 6. Added: GitHub health not measured +10, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Universal
Model
Multiple
Fastest way to find out if cognicore-env belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
claude mcp add cognicore-env -- npx cognicore-envRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove cognicore-envNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ cognicore-env ← registers here
cognicore-env is listed on Honeystax as a MCP Server for Universal, since October 2, 2026. Its code is at github.com/cognicore-dev/cognicore-env, with 81 GitHub stars. Last commit November 3, 2026, 7 days ago.
Source: GitHub repository
Source check: November 3, 2026
Upstream commit: November 3, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.