Spec Driven Development 🤠 Write codebase-aware specs for AI coding agents so they don't derail.
Semantic codebase indexing and search for OpenCode, Claude, Codex, Pi, Jcode, and MCP hosts. Powered by Rust and tree-sitter.
Selene is a desktop app that runs AI agents on your machine. Connect them to your WhatsApp, Telegram, Slack, or Discord. Write code, generate images, build personal assistants. All from one place. Your data stays on your device.
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
ContextAtlas — context infrastructure for AI coding agents: hybrid retrieval, project memory and retrieval observability via CLI, MCP server or embeddable library. Tree-sitter indexing, LanceDB vector search, FTS5 and token-aware context packing.
Microsoft Build AI 2026 National 1st Place. Local codebase memory for AI coding agents: 63.8% Coverage@5, 75.2% Coverage@10, 60-65x lower context.
Code intelligence for agents: find the code that matters and keep your context window and tokens lean.
Multi-agent orchestration plugin for Claude Code — 11 AI agents with intelligent model routing, 3-layer codebase indexing, and auto skill injection
Codebase Indexing for AI programming assistant.: call graph search, multi-language support.
Structural code intelligence for AI agents. Scan once, query everything — dead exports, circular imports, dependency graphs, and more. CLI + MCP server.
🔍 Codebase Indexing for AI programming assistant.: semantic search, multi-language support.
Local code map for AI coding agents: find, trace, and predict change impact with file:line evidence. Claude Code · Codex · OpenCode · MCP. No network by default.
Filesystem-first MCP server for Obsidian vaults with an LLM-Wiki layer on top.
Structural code intelligence and persistent memory for AI coding agents, served over MCP (Claude Code, Codex).
Multi-repo code intelligence for coding agents, indexed spaces served over read-only MCP
MCP context engine for AI coding agents: a local code graph answers "which files does this task need?" — folded evidence packets instead of whole files. Recall 1.000 on repos it was never tuned on, 45% fewer context tokens in a real Claude Code session. Rust, local-first, MIT.
Static code map generator (MAP.md + map.json) powered by tree-sitter — a Claude Code /map plugin and MCP server that gives coding agents call graphs, file outlines, and impacted-test lookups without spending tokens on parsing.
Correctness-oriented MCP server and batch CLI for compact structural reads and reviewed TypeScript/JavaScript edits.
MCP server that gives AI agents semantic search tool. Builds AST, call graphs, type graphs, and hybrid semantic search — so your agent queries structured indexes instead of dumping files into context. 7 languages. Zero config. One command setup.
Context Engineering Middleware for Claude Code — intelligent codebase indexing, token-efficient file selection, and session persistence via local MD files
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