Home of CodeT5: Open Code LLMs for Code Understanding and Generation
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Updated
Jan 20, 2024 - Python
Home of CodeT5: Open Code LLMs for Code Understanding and Generation
Codebase intelligence for AI-assisted engineering teams: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.
CodeTF: One-stop Transformer Library for State-of-the-art Code LLM
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, 238 commands, 224 MCP tools, change-safety gates, audit evidence, zero API keys.
Official code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
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.
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.
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 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.
AI Coders search blindly. Be their guide.
MCP code-intelligence server for AI agents — beats CodeGraph on 6-repo benchmark median. 50 MCP tools, 13 curated skills, TOON output (50-70% token saving), 100% local. Python.
Stop re-explaining your codebase to AI. Infinite speed memory + code graph for Claude Code & Codex CLI. 17 MCP tools, subagent protocol, hybrid search, TUI dashboard, crash recovery. Save 80-200K+ tokens/session.
Give your AI agent instant API lookups instead of expensive source file reads. MCP server for C#, Go, Java, Python, and TypeScript.
Code-aware memory and intelligence for AI coding assistants
Source code for EMSE 2023 paper "Zero-Shot Code Representation Learning via Prompt Tuning"
Persistent memory for AI coding agents via MCP — a bitemporal knowledge graph of your codebase, served to Claude Code, Cursor, Gemini CLI, and any MCP client. Tree-sitter + Gemini Flash → Neo4j (via Graphiti). 12 MCP tools, hierarchical clusters, two-regime confidence decay.
Architecture rules your AI coding agent can't break — generates AGENTS.md, per-folder CLAUDE.md, and Claude Code hooks from your codebase.
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