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Promote a GitHub repo at the top of Awesome repository list views for 7 days.
Autohand Code CLI - Ultra fast self evolving coding agent that runs in your terminal
A dashboard for running and coordinating multiple AI CLI agents at once.
Multi-agent task orchestration for coding agents. Turn one goal into an ordered plan of tasks — each with its own runner, model and mode — then execute and verify the results.
Kapso by Leeroo: A self-improving AI software factory (for measurable objectives). #1 open-source on MLE-Bench; ALE-Bench; RelBench
Run AI coding tools side by side in a local tmux workspace. CLI, terminal UI, Web UI and MCP control for Claude Code, Codex, Kimi and more.
🛩️ Git-native workflow control for coding agents: approved plans, verification, and reviewable evidence for Claude Code, Codex, Cursor, and Aider.
The open archive of how AI agents actually work. A versioned, verifiable archive of system prompts, developer instructions, tool schemas and agent harnesses powering today's AI products. Captured with OrcaReplay.
Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.
Huly MCP and CLI: Feature-complete MCP server and CLI for Huly platform. Intabia partially compatible.
Spec-driven development and context engineering for Claude Code, Cursor, Codex, and GitHub Copilot — backed by project context in Git.
Extract domain knowledge from codebases to reduce LLM token consumption by 20x and time in agentic search by 10x — gathers and makes concepts, naming conventions, and vocabulary queryable via MCP.
You pick the model per task, with review, evidence, and a PR at the end.
Governance framework for AI coding agents — enforces task traceability, structural gates, session continuity, and audit trails for Claude Code, Cursor, and Copilot.
Dockable terminals for Claude Code, Codex & Antigravity by day, an unattended task queue by night. Each task gets its own git worktree; review the diffs over coffee.
Cut the chatter. Keep the work. A measured communication policy for coding agents: −32% output tokens, zero lost facts.
AxonFlow governance for OpenAI Codex — enforce policy on terminal actions, add governed MCP checks, and keep audit trails for production coding agents