#coding-agents

Dispatch your task backlog to local, interactive AI coding agents. One git worktree per task, sandboxed by default.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

AI Kanban & Development Environment. Orchestrate multiple agents, review changes, open PRs. Multi-provider, self-hostable, no telemetry.

The harness engineering framework for coding agents

🛩️ Git-native workflow control for coding agents: approved plans, verification, and reviewable evidence for Claude Code, Codex, Cursor, and Aider.

Chat, specs, tasks, and code. An autonomous engineering platform. Full autonomy when you trust it. Full control when you don't.

Maintainability checks and repair-loop diagnostics for AI-assisted Python repositories.

agent multiplexer that lives in your terminal.

A compiler and runtime for multi-agent DAGs across Pi, Codex, Claude Code, OpenCode, and Grok Build — verify before model spend, isolate context, resume, replay, and recompute.

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Local MCP server for delegating asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi.

Make AI coding agents safe to scale autonomously: assign work, cap spend, enforce policy, verify output, roll back failures, learn from loops, and prove ROI across every repo.

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

Terminal-first, open-source AI agent manager for any CLI agent (agent agnostic), any OS (mac, windows, linux). The Open-Source Agentic Development Environment for running multiple coding agents in parallel. Run locally or self-host Remote Pane to manage agents from desktop or phone. Simplify multi-agent orchestration with the runpane CLI.

A codebase wiki for AI coding agents. Captures what the code can't say: decisions, flows, invariants, gotchas.

Autopus-ADK is of the agents, by the agents. for the agents. Multi-model orchestration (consensus/pipeline/debate/fastest). Architecture-as-Code, Lore decision tracking, SPEC/EARS engine.

Local MCP server for delegating asynchronous coding jobs between Claude Code, Codex, Cursor Agent, and Pi.

You pick the model per task, with review, evidence, and a PR at the end.

Local-first control plane for AI coding agents: repo memory, verification, sessions, and dynamic workflows.

Manage configs for Claude Code, Codex, Gemini CLI, Goose, and Amp from one repo — symlinks, merge pipeline, profile inheritance, cross-machine sync

A drop-in engineering loop for coding agents: task contracts, verification reports, reviewer handoffs, and repo-level safety policies.

A dev agent multiplexer for git worktrees and coding agents.

Local-first engineering memory for AI coding: a git-native graph of decisions, bugs, and invariants, exposed to Claude Code via MCP.

Keep Claude Code and Codex aligned with task requirements through intent proof, drift checks, visible run state, and evidence-based verification.

Manage all your terminals and ai coding agents from one unified page.

Run multiple agents in parallel sandboxed VMs, with a single command, on your PC or in the cloud