The real catalog of tools for AI agents

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Shared, git-tracked working memory for AI agents on the same codebase.

Local codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Shared memory for coding agents. Stop re-explaining your codebase every session.

Persistent, read-only codebase memory for Claude Code; ask it instead of re-reading files.

Persistent codebase intelligence that gives AI assistants memory across sessions

Persistent codebase intelligence that gives AI assistants memory across sessions

Structural codebase MCP server with persistent memory: navigate by symbol, recall across sessions.

Local-first engineering cognition for AI coding agents — persistent memory over your codebase.

Read-only visualization for Cortex memory, knowledge, sessions, traces, and codebase graphs.

Semantic codebase search + persistent working memory for AI code editors. Local, no API key.

Codebase memory for AI agents: an AST index plus agent-written notes that self-stale.

Offline codebase knowledge graph: 91% token reduction vs naive RAG, plus cross-session agent memory.

Codebase intelligence for agents: 152 structured artifacts across 21 programs, one call.

Indexes codebase into a local knowledge graph with 40+ AI tools and codebase-guard.

Scan any codebase, generate CONVENTIONS.md, expose conventions as MCP tools for AI agents.

Local-first codebase intelligence: cited answers, audits, reports. EN/FR.

Structural codebase indexer with 17 query tools. 87% token reduction. Zero dependencies.

Read-only codebase audits for coding agents: secrets, RLS, deps, review verdicts. No writes.

Codebase indexing and search via WASM tree-sitter. Works on ARM64 and x86_64.