Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Cut AI token costs 95%+ on code exploration. The leading MCP server for precise, symbol-level GitHub code retrieval via tree-sitter AST. Works with Claude Code, Cursor & any MCP client. 313B+ tokens saved.
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
🧠 RepoBrain (formerly Antigravity) — Give your repo a brain. ChatGPT for your codebase: works in Claude Code, Cursor, Codex, Windsurf & more.
Graph-powered code intelligence engine — indexes codebases into a knowledge graph, exposed via MCP tools for AI agents and a CLI for developers.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 284 commands, 244 MCP tools, change-safety gates, audit evidence, zero API keys.
Structural memory for AI coding agents. Bi-temporal graph, MCP-native, zero LLM calls. Cursor · Claude Code · Codex · Hermes · VS Code · Windsurf.
Entity-level code review. Triages pull requests by structural risk using cross-file dependency graphs and LLMs that read for meaning.
Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
Temporal Code Intelligence platform. Time-series complexity analysis across Python, JavaScript, Java, and Go. Linear regression trend detection, cyclomatic complexity tracking, confidence scoring, and predictive decay forecasting.
A multi-view data system for serving repository context to coding agents.
Verified code context for agents
Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.
Enterprise-grade graph-powered code intelligence engine. Deep structural awareness for Laravel, PHP, Python, and JS. Powers AI agents with high-fidelity architectural context via MCP & Neo4j.
This repository provide the studies on the security of language models for code (CodeLMs).
Deep repository intelligence for humans and ai. Air gapped, on premise, zero dependency SAST for 50 languages regardless of compilation status. Sarif and sbom outputs.
Cross-language-safe code-intelligence MCP for AI agents -- 13 languages, family-gated call graph (CodeGraph 745 vs TSA 6 cross-language mis-wires, v1.21.0 same-session -- ~124x by count, ~390x by rate; re-verifying vs current develop). Run miswire-audit on your repo. 8 facade tools, TOON output, 100% local. Python.
AI Coders search blindly. Be their guide.
A compiler for AI coding tasks: pre-resolves repo facts (callers, git history, blast radius, bug-site source) before your coding agent's first token, then runs a scoped verify over exactly the lines it changed. Deterministic, local, zero model calls. Thin CLI over the roam-code engine; 22 intent procedures, 28 languages.
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