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OpenCode goal plugin for Codex-style goal mode, /goal slash commands, persistent objectives, and AI coding agent focus.
Keep one source of truth for your AI coding-agent rules. Convert and sync between AGENTS.md, CLAUDE.md, .cursorrules, Copilot, Windsurf, Cline, Aider & Gemini — or scaffold a fresh AGENTS.md. Zero dependencies.
Automatically completes the full workflow from requirement research → research review → planning → plan review → development → development review using → test AI large language models. Capable of autonomously handling medium to large-scale engineering projects.
Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts.
An agentic memory database that cuts session tokens by 82–99%. One portable SQLite file — your agent's memory, anywhere.
Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures which models earn their seat.
Local-first prompt coach for Claude Code and Codex that improves prompts, observes prompting habits, and analyzes local history with explicit consent.
Mine your Claude Code and Codex logs into a local you.md agent profile.
Turn your team's AI coding sessions, GitHub code, and docs into one shared, searchable memory — a self-hosted git truth store you query right from your editor over MCP.
GitHub as a knowledge graph for AI agents. Autonomous dev pipeline for Claude Code - investigate, build, review, merge. Issue in, PR out.
One command to run the AI coding CLI you already pay for (Claude Code, Codex, Cursor, Gemini, Grok, aider) on a Tailscale-only Hetzner box — code from your phone.
Local-first TUI for AI coding-agent session history: trace cost, tokens, time, tool failures, latency, health, diffs, reports, and CI gates across local agent logs.
VS Code Extension for the Pi Agent.
Stop re-explaining yourself
Build LangGraph agents like Next.js apps.
Context-isolated workflow automation for Pi coding agent
Local-first MCP gateway. One port for every tool and every AI client: lazy discovery (~90% token savings), tool integrity + quarantine, secrets in the OS keychain.
A configurable Bash/PowerShell loop that runs an AI coding CLI with a fresh session each iteration
Godot 4 MCP server for AI-assisted project inspection, editing, validation, and runtime automation.
Approvable, local-first AI coding agent for regulated teams: policy controls, governed MCP, evidence packs, audit trails, secure remediation, and any OpenAI-compatible model.
All of your agents, shells, and TUIs in one durable terminal workspace
Copilot-style AI coding agent for VS Code, powered by DeepSeek V4.
Self-hosted AI workspace built around context management. Works solo, scales to teams.
ctx-wire runs your commands, compresses the output with declarative filters, scrubs secrets, and hands your agent a short result. The full log stays on disk for when something actually fails. Cut the noise on the wire.
Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.
A modular UX, design, and product optimisation system for turning AI-built interfaces into production-grade apps, turning proven principles into enforceable constraints that reduce friction, build trust, and drive action. Works with Claude, Codex, Cursor + all other agentic AI models.
Launch multiple sandboxed profiles of any AI CLI or IDE - each with its own auth, config, and extensions.
Engineering workflows for AI coding agents or flesh engineers. It helps absorb silent base-model quality drift.
A local dashboard to manage AI coding agent skills — sync, install, and organize skills across OpenClaw, Cursor, Claude Code, and more.
Skill to generate the knowledge vault for projects using the Ralph loop