Trending AI repositories

zilliztech/

claude-context

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

teaql/

teaql-agent-kit

Deterministic execution for non-deterministic AI.

itayinbarr/

little-coder

A harness optimized to smaller LLMs

Dong90/

oh-my-taiyiforge

AI workflow automation plugin for intelligent code generation with Claude/Codex

Agent-Field/

SWE-AF

Autonomous software engineering fleet of AI agents for production-grade PRs on AgentField: plan, code, test, and ship.

Human-Agent-Society/

CORAL

CORAL is a robust, lightweight infrastructure for multi-agent autonomous self-evolution, built for autoresearch. Works with Claude Code, Codex, Cursor, OpenCode, Kiro, and more.

dog-qiuqiu/

invincat

A native Python agent CLI built on DeepAgents CLI, featuring an independent memory Agent that captures learnings after each task and delivers efficient AI coding assistance through hierarchical memory management.

WrongStack/

WrongStack

An AI coding agent that reads your code, edits files, runs commands, and reasons through bugs — across a terminal REPL, a full-screen TUI, and a browser UI, while you keep your hand on every permission.

prasenjeet-symon/

ogcode

The token-efficient agentic coding workbench. Built for a future where every token counts — it optimizes token usage at the agent-loop level, saving 70%+ on long sessions, while planning, remembering your codebase, and shipping features in parallel from a single self-hosted binary.

chaohong-ai/

ai-auto-work

Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development review using → test AI large language models. Capable of autonomously handling medium to large-scale engineering projects.

ruc-datalab/

CoDA-Bench

CoDA-Bench is a benchmark for code agents on data-intensive tasks. 🎈代码智能体能搞定数据密集型任务吗?

Junhanliu-dev/

espalier-engineering

Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.