Agent
Reads /tmp/basemind-harden-.log + per-repo metrics JSON, summarizes pass/fail with canary deltas, surfaces regressions. Cheap read-mostly subagent.
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.
Agent
Reads /tmp/basemind-harden-.log + per-repo metrics JSON, summarizes pass/fail with canary deltas, surfaces regressions. Cheap read-mostly subagent.
Agent
Migrates one basemind MCP domain from flat per-verb tools onto a single mode-dispatched tool plus a CLI subcommand group — mode enum, params, shim, helpers, CLI — without touching shared files.
Agent
Adds a mode to one of basemind's 9 MCP domains end-to-end — mode enum variant, params, shim arm, helper body, CLI subcommand, smoke assertion, README row.
Agent
Reviews diffs touching the basemind scanner / extract / store / index paths for hot-path regressions — allocations, missed memmem opportunities, hashmap churn, parser pool misuse.
Agent
Adds tree-sitter language coverage to basemind via the language-support skill — sources upstream queries from tree-sitter- /queries/tags.scm, adapts to basemind's Symbol/Call/Import shape.
Agent
Rewrites basemind's docs, skills, and plugin manifests against the 9-domain MCP/CLI surface — knows the ai-rulez generation source, the four parallel skill trees, and the hand-synced command mirrors.