Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, Op...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Still active enough to matter. Good candidate for a fast stack test instead of a long evaluation loop.
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.
GitHub health 100/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Fastest way to find out if ai-memory-mcp 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 ai-memory-mcp -- npx ai-memory-mcpRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove ai-memory-mcpNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ ai-memory-mcp ← registers here
Persistent memory for any AI — MCP server, HTTP API, CLI. Works with Claude, ChatGPT, Grok, Gemini, Codex, Cursor, OpenClaw, and any MCP client. 97.8% R@5 on LongMemEval. Pure SQLite FTS5, zero cloud dependencies.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 18, 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.