Code AI platform with Code Search & Cody

Mimir - Fully open and customizable memory bank with semantic vector search capabilities for locally indexed files (Code Intelligence) and stored memories that are shared across sessions and chat contexts allowing worker agent to learn from errors in past runs. Includes Drag and Drop multi-agent orchestration

Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping

Local-first AI knowledge layer. Extract architecture, query from any AI tool via MCP. Private by architecture.

One command gives AI agents instant codebase context. ~250 tokens replaces 50,000+ tokens of exploration. Auto-configures Claude Code, Cursor, Aider.

IDE-style navigation for structured data — code, JSON, YAML. Jump to definitions, find callers, follow references. Available as an MCP server or a mounted folder.

Your coding agent is editing blind. agent-lsp gives it type-aware navigation, blast-radius analysis, and pre-verified edits. 50 tools, 21 skills, 30 languages.

Kai is a semantic analysis engine that sits on top of Git. It captures meaningful changes, generates semantic diffs, and produces safe selective CI plans.

A Go symbol and call-graph database backed by SQLite. Query symbols, callers, callees, blast radius, dead code, and interface implementors as structured JSON — typed code navigation for AI agents (MCP) and humans.

Code Intelligence Engine — indexes your codebase and gives AI assistants deep understanding via MCP (semantic search, call graphs, 20+ tools)

Self-hosted code search and bulk operations across all your repositories. Powered by Zoekt.

MCP server for AI coding agents - gives Claude Code, OpenCode, Cursor, and Codex CLI structural understanding of your codebase: symbol graph, blast radius, semantic search, conventions.

Permanent code intelligence layer. Learns what matters, expires what changed, proves what existed. Content-addressed graph with Merkle proofs, 25 extractors, 23 MCP tools. Gets smarter with use.

Fast polyglot source code intelligence CLI and MCP server. Extract symbols, trace dependencies, analyze impact across 14 languages.

Semantic compression Claude and Gemini. 5 angles of O(1) indexed search — micro-embeddings resolve meaning, depth, and intent in under 5µs. Self-learning, single binary, zero config. Real-time dashboard. 90%+ fewer tokens. aOa learns, you build faster — this is the way.

MCP server providing code intelligence tools for AI agents: AST parsing, semantic search, call graphs, dead-code detection.

Deterministic code knowledge graph CLI + stdio MCP server. 100 detectors across 35+ languages. Single static Go binary, Kuzu embedded graph, BM25-ranked FTS. No AI in the pipeline; LLM is opt-in for PR review.

Code intelligence for AI assistants - MCP server, CLI, and HTTP API with symbol navigation, impact analysis, and architecture mapping

codegraph is a local-first code context engine and MCP server for repositories. It incrementally indexes source code into a lightweight SQLite graph, then exposes high-signal tools for symbol lookup, call graph traversal, impact analysis, related test discovery, and semantic search. Built in Go with a single-binary workflow, it is designed to work