Show an agent a problem: mark up, record, send
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Animated, explorable diagrams for Claude and other coding agents, from a short JSON spec.
- agent-skills
- ai-agents
- architecture-diagram
- claude-code
A curated list of open-source AI agent platforms: AI coworkers and teammates, agent builders and frameworks, workflow automation platforms, browser agents, and coding agents, with licenses.
Autonomous development for real products. Governed agents build from specs you approve, follow the rules you set, and nothing merges until another agent proves it. Your decisions, judgement and taste are the bar that work must clear. Declare your vision and let agents build it.
✅2-in-1 AI Developer and Project Manager. AI agents plan an entire project in Todoist and code it task by task.
Code graph and memory for your coding agents, in one Rust program. For Claude Code, Codex, Cursor and any MCP client.
- agent-memory
- ai-agents
- claude-code
- code-analysis
Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, and carries an auditable receipt. Local-first, works through proxy, MCP, SDK, or agent wrapper.
- ai-agents
- claude-code
- mcp
- token-optimization
Run many AI agents at once on your Mac, up to 3x faster.
- agents
- apple-silicon
- artificial-intelligence
- inference-acceleration
A desktop GUI for running dozens of Claude Code and Codex agents in parallel, each in its own git worktree. Answer them like email, or use the board view. Free, open source, on the plan you already pay for.
- agent-orchestration
- ai-agents
- claude
- claude-code
Translated流儀 (Ryugi, "style" or "school of practice") — a skills collection for coding agents and the artifacts workbench they design in: live artboards, commentable documents, HTML test benches, TDD builds
Open source autonomous engineering harness in your cloud. One sandbox per task, no real secrets inside.
- agent-harness
- agent-sandbox
- agent-security
- agentic-coding
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.
- ai-agents
- benchmark
- coding-agents
- embodied-ai
TranslatedAn Agent programming Harness engineering framework, from requirement clarification to trusted delivery
- code-intelligence
- coding-agents
- developer-tools
- knowledge-management
Co-manage memory with your coding agent across sessions. A local workbench for Claude Code, Codex and Pi.
Desktop-first, open-source (MIT) application for running parallel agents, and multi-step custom workflows triggered by schedules, webhooks or events from tools like Linear and Sentry, across your already-used providers.
A dashboard for running and coordinating multiple AI CLI agents at once.
Native Windows Bash for AI coding agents. Run Claude Code, Codex, opencode & Gemini CLI without Git Bash, MSYS2 or WSL. Built in Rust, with MCP support.
- ai-agents
- bash
- bash-interpreter
- claude-code
The native agentic development platform for the Mac: a 5 MB terminal that runs fleets of Claude Code and Codex sessions side by side, each on its own branch. Built with SwiftUI, no Electron, no telemetry.
Tell your coding agent which dependencies changed after its training cutoff. Diffs types and changelogs, writes a short block into AGENTS.md / CLAUDE.md.
Karpathy-inspired coding-agent guidelines packaged for Claude Code, Codex, Cursor, Gemini, OpenCode, Aider, Copilot, OpenClaw, and any AGENTS.md or Agent Skills-compatible agent.
- agent-skills
- agents-md
- ai-agents
- ai-coding
Self-hosted browser terminal manager for AI coding agents. Control Claude Code, Codex, Gemini, and shell sessions from your phone or browser over Tailscale.
Local-first policy gateway for coding agents. Allow, review, or block MCP, shell, SQL, GitHub, and HTTP actions with scoped credentials and signed evidence.
- golang
- observability
- opentelemetry
- policy-engine
A repo-native coding-agent loop harness for Claude, Codex, Copilot, and other CLI agents. Agents can edit. Gates decide what lands. You set the plan in motion. The agents take a prompt, and each iteration must update specs and commit through guardrails.