Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared...
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 57/100. no security policy. 2 open issues make this testable, but not something to trust blind.
AI Agent
Claude Code
Model
Claude
Fastest way to find out if basemind 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 basemind -- npx basemindRun this first. You will know quickly if the workflow earns a permanent slot.
claude mcp remove basemindNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude.json └─ mcp_servers/ └─ basemind ← registers here
Full AI context and content layer for coding agents over one MCP server — tree-sitter code-map, document RAG, shared memory, multi-agent comms, web crawl, git history + blame. 300+ languages, 10+ agent harnesses, pure Rust.
Source: GitHub repository
Source check: July 18, 2026
Upstream commit: July 12, 2026
Repository state: Not marked archived
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