CODING — 一款以本地优先为核心的AI编程代理,支持基于代码仓库的规划、执行、验证与交付。
A small, complete Python agent harness: tools, compaction, retries, and a single-file TUI. Built to learn and use as a baseline.
clodfarm (say it out loud): a farm of Claude Code agents. Plant a mission, they split it into sub-agents, open the work, and pace themselves on each account's real 5-hour and weekly usage. Steer it from the Claude app.
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Benchmarking models as runtime Controllers for Loop Engineering
AI coding agent with one Python core and three front-ends — headless CLI, Textual TUI, and an Electron desktop. Works with any OpenAI-compatible API, with risk-tiered permissions, event-sourced replayable sessions, and a fail-closed OS-level sandbox.
Migrate coding agent sessions across 18 harnesses (Claude Code, Codex, Pi, OpenCode, Copilot, Antigravity, Vibe, Muse, Qwen, Kimi, Cursor, etc.)
Your durable workspace across AI agents.
Deletion-first Agent Skill for removing test bloat, verification theater, and speculative fallbacks while preserving behavior.
An experimental playground for open-source, all-in-one office AI for universities: code, docs, spreadsheets, slides, browser – all are the AI's workspace. Local-first, event-driven, auditable, with both TypeScript and Python implementations.
面向 AI 上下文管理的 Agent Skill:为 Codex 上下文管理、Cursor 上下文切换和 Claude 上下文管理提供跨窗口续接,用 Git 保存可验证的功能说明与变更记录。AI coding context management and agent handoffs.
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
Production-grade Agent Skills for AI coding agents—composable workflows for planning, TDD, debugging, review, UI/UX, releases, incidents, and evals.
Deterministic, bounded local Git context as Markdown or JSON. Standard-library Python CLI.
Build an AI Coding Agent from Scratch in Pure Python, Step by Step | 用纯 Python 从零搭建 AI 编程 Agent,边实现边理解其工作原理
:dog: Beagle is designed to be the unified platform for the broader Recursive Self-Improvement (RSI) ecosystem. Think of it as Hugging Face Trainer for agent evolution. Its efficient rollout engine enables evaluation and evolution at scale across different agents, datasets, benchmarks, and evolution methods.
OpenTelemetry plugins for every coding agent, in the Agent Plugins format — a marketplace that runs itself: open an issue, the repository validates, reviews, lists and follows your plugin.
Official Repo for (Self-Improving)^2 Coding Agent: Curating High-Quality Trajectories via Recursive Self-Improvement
A benchmark for testing whether coding agents can resolve engineering tasks in scientific software
Reusable Codex + Claude Code skill and plugin implementing Anthropic's AI-Native SDLC: Plan → Design → Build → Test → Deploy → Maintain, with human approval gates at every handoff.
Open-source agent execution-recovery controller for coding and tool-using AI agents.
A pure-Python reachability and skeletonization layer that decides what a coding agent actually sees before a request reaches the API.
A terminal AI agent you can fully undo - every file and shell action is snapshotted and reversible. Model-agnostic (any LLM), and connects to 1000+ app tools and MCP servers.
Deterministic, read-only Git evidence for coding agents and automation. Standard-library Python CLI.
Tools for AI agents to test, fix and optimise your codebase
A lightweight coding agent 🧑💻 built from scratch, with tool calling, session persistence, workspace context, memory, and multi-provider LLM support 🛠️.
Tamper-resistant regression gate for AI coding-agent instructions—AGENTS.md, CLAUDE.md, Cursor, Copilot, Gemini, and more.
Durable local inference for Oh My Pi: NInfer + Qwen3.8 27B on one RTX 3090/4090/5090, with restart-resumable OpenAI Responses state.
An Agent Skill: drive Cline CLI coding tasks as the user's proxy.
Static reproducibility checks, experiment replay, and verification for ML pipelines.
Verify what AI coding agents can actually read, write, execute and reach using synthetic canaries.
Can coding agents build the agent you actually want? A benchmark of 25 agent software engineering tasks across creation, editing and optimization.
A minimal coding-agent harness built to measure what context management actually costs: constraint survival after compaction (8%→83%), default-FAIL verification against false completions, and KV-cache prefix design (21%→90%). Stdlib-only, real deepseek-chat runs
Optimized local serving engine for Kimi-Linear-48B: INT4 quantizer, fused decode kernels for a measured 3.18x, and an OpenAI-compatible server. Ships with k3, a bridge that detects the client per request so Claude Code, Codex, Cline, Aider and opencode all work unchanged.
Click does not replace Nx, Bazel, pytest, or Jest. It sits above existing verification tools and manages which verification evidence remains applicable across AI-agent iterations.
Local traffic visibility and privacy controls for coding agents. See what Claude Code, Codex and Copilot send to the model; mask secrets and personal data where the client allows it.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
Argolink-focused coding-agent request and tool workflow for Claude Opus 5.
🎮 Tencent Game-Creation-Agents (GCA) is an end-to-end pipeline that turns a natural-language idea into a playable, verified browser game.
Crow — a local AI agent, not a chat box: 30 tools, MCP, memory, skills, goals, subagents, vision, and image generation and editing with Qwen-Image. Runs on crow-nest or llama.cpp on one GPU, or any model via OpenRouter. Windows and Linux.
Open-source AI agents for coding, research and automation. Run locally with your models, persistent memory, multi-agent execution, skills, MCP and self-evolving.
Cross-platform .NET performance engineering skill for coding agents, covering CPU, memory, GC, benchmarking, concurrency, startup, native profiling, GPU rendering, and production diagnostics on macOS, Windows, and Linux.
Use Claude Design from Claude Code, Codex, Cursor, Gemini CLI, and 70+ coding agents. Create designs from your real codebase, refine them on the canvas, and sync every change back. One installer, no MCP setup.
A scheduled, agent-driven software factory. Keep a plain JSON backlog; Forgeo runs your coding agent (Claude Code, Codex, opencode) on each task and commits to main. Refactors when idle. No branches, no PRs.
A minimal, evidence-gated harness for Codex and Claude Code: reuse what works, add only what is missing, verify before evolving.
Hillclimbing on verifiable rewards. Use Claude Code and Codex to autonomously search for python programs that optimize a score you define. 🏔️
Your coding agent starts every session knowing nothing about your project. One line, and it writes its own memory from your real code, then grades itself.
Your coding agent says "done". Orvant asks for proof. A skill for Claude Code, Codex and other file-capable agents, plus a Python engine that clarifies the goal, prepares an independent acceptance oracle and accepts work only through an independent gate. Engine workers currently run on Codex CLI. Open beta.
Your coding agent says done. Show the receipt. Evidence-first workflows, practical skills, and plugins for Claude Code and Codex.
High-performance bridge proxy connecting Claude Code CLI & Anthropic SDK to ANY OpenAI-compatible LLM provider (DeepSeek, OpenRouter, Groq, Ollama, Gemini, OpenAI) with zero-crash streaming, failover & secret redaction.
Run many AI agents at once on your Mac, about three times faster.
Drive the OpenAI Codex Micro macro pad from Claude Code. Six Agent Keys show which of your projects needs you, and pressing one jumps to its terminal tab. Every key, the dial and the thumbstick, over USB or Bluetooth. No ChatGPT desktop app required. Includes the fully documented device protocol.
A work journal your coding agents write to. Evidence required.
BoundaryBench: benchmark coding-agent harnesses (Claude Code, Codex, Terminus 2, Grok) on Terminal-Bench tasks under hardened NIST-derived sandbox policies. Inspect AI + Harbor compatible.
Your AI coding agents keep working while you sleep: drive Claude Code, Codex, Gemini, opencode & more from your phone; auto-resume past usage limits.