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Global instructions for coding agents: evidence, parallelization, validation, all in one AGENTS.md / CLAUDE.md

Goal-based planning and proof gate for AI coding agents

Your durable workspace across AI agents.

Local-first agent platform: board + role agents + agent CLI runs (Claude Code, Cursor, Antigravity, OpenCode) or local and API models (Ollam

Edit Videos and Design Images with Claude code or Codex

Headless verification browser for AI coding agents: 35 ms one-call checks, pixel diffs, live human hand-off

Open Dynamic Workflows: TypeScript CLI runtime for Claude Code-style dynamic workflows across Codex, Claude Code, Gemini, Qwen, Kimi, and cu

Autopus-ADK is of the agents, by the agents. for the agents. Multi-model orchestration (consensus/pipeline/debate/fastest). Architecture-as-

A work-centered runtime for agentic software engineering. Work persists; agents, context, and graphs assemble around it.

Portable, verifiable work state for coding agents

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 handof

A local-network remote control for coding agents running on your own computer.

A finite ontology of 115 recurring software elements and a composition framework for LLM-based coding agents

A benchmark for testing whether coding agents can resolve engineering tasks in scientific software

Continue unfinished work across coding agents with portable handoff bundles.

All of your agents, shells, and TUIs in one durable terminal workspace

Deterministic, bounded local Git context as Markdown or JSON. Standard-library Python CLI.

Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.

DAG runtime for coding-agent workflows with verification, resume, replay, and effect checks.

Benchmarking repository-borne prompt injection attacks and lightweight defenses for local coding agents. DL4C @ ICML 2026.

A Complete faster runtime for coding agents. Optimize the journey, not the hop. Make coding agents 25% faster and 30% cheaper on average whi

Code-quality skills by Max Kanat-Alexander.

Open-source agent execution-recovery controller for coding and tool-using AI agents.

Zed extension for Headroom — context compression for AI agents

ZeroSpec is a zero-dependency Markdown framework that helps AI agents understand your repository structure, rules, and source of truth befor

Turn noisy command output into a short, actionable first pass for coding agents.

MIT-licensed, backend-agnostic AI agent orchestration loop in Python: orchestrator→worker→reviewer as a deterministic harness. Drive coding-

Repo-local continuity runtime for AI coding agents. Helps them continue from the same inspectable work state instead of starting cold. Stop

A web console for running many parallel coding-agent sessions. tmux keeps the processes alive; the browser owns organisation, naming, state

Open-source alternative to Claude Artifacts for every coding agent. Any agent ships a self-contained page or app to a live URL — Claude Code

The design layer for agentic AI — design context, interface checks, and verification for coding agents.

Iterative agent harness improvement: run a coding agent on a hard task, generate the reusable tooling it was missing, qualify it, and replay

Local runtime for Claude Code and Codex — provider management, isolated sessions, routing and protocol translation.

Static reproducibility checks, experiment replay, and verification for ML pipelines.

Agent-managed GitHub merge queue for Codex, Claude Code, Cursor, and MCP clients

Deterministic, read-only Git evidence for coding agents and automation. Standard-library Python CLI.

Kether-governed AI agent orchestration with Pi/MCP, isolated workers, LSP tools, and a portable Windows/WSL2 installer

Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concept

Sandboxed Python environments with the uv workflow. Registry-only installs, read-only dependencies, and deny-by-default networking. Local-fi

Superpowers workflow skill pack adapted for Hermes Agent and ChatGPT

Local-first static analysis that turns source code into deterministic, source-grounded workflow maps for coding agents via MCP.

The visual layer of your agent harness. Renders React components and Three.js scenes from source, with structure and evidence behind every f

AI terminal for coding agents: run Claude Code, Codex, and shells side by side on your computer or remote servers. Agents ask each other for

Skill repository to enforce Engineering disclipline in coding assistants

Benchmark coding agents and agent harnesses on 226 deterministic file-editing tasks with byte-exact verification and a public leaderboard.

Open-source Codex plugin for Sol-governed multi-agent coding, bounded AI code review, model routing, and LLM cost optimization

Click does not replace Nx, Bazel, pytest, or Jest. It sits above existing verification tools and manages which verification evidence remains

Plan, run, and track AI coding work feature by feature—with local Markdown cards, diagrams and Git worktrees.

Production-grade vibe coding framework with specs, architecture, AI agents, testing, security, code review, CI/CD, and battle-tested workflo

Runtime for coding-agent harnesses. Run Claude Code, Codex, OpenCode, Pi, and Grok in one terminal; hop live between them; search or resume