Run a team of AI coding agents. On your machine. Local-first orchestration for Claude Code, Codex, OpenCode, Antigravity, and Copilot.
File-based message queue for local agent-to-agent communication (Maildir-style)
MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.
An agent skill focused entirely on Swift Testing, helping you write better tests, migrate from XCTest, improve test architecture, and adopt modern Swift testing patterns with confidence.
Smithers is an agentic workflow framework for defining workflows in simple TypeScript configuration files and executing them quickly, durably, and reliably
Git worktree-based task manager with integrated terminals for CLI coding agents
Instant recall for coding agents. Search the history already on your machine. Git blame, but for agent sessions.
Codebase intelligence for AI. Detects patterns & conventions + remembers decisions across sessions. MCP server for any IDE. Offline CLI.
Semantic codebase indexing and search for OpenCode, Claude, Codex, Pi, Jcode, and MCP hosts. Powered by Rust and tree-sitter.
Multi-agent system for software development
Development workflows for Codex that keep technical rigor and edge-case handling from becoming product overengineering.
The control plane for AI coding agents.
A local bridge for bidirectional collaboration between Claude Code and Codex. 连接 Claude Code 与 Codex 的本地实时协作桥接工具。
An open-source plugin that runs inside Codex and lets you use Claude Code and Claude models for review, rescue, and tracked background workflows.
Git-native memory for coding agents. Repo memory before the diff.
Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN
Finds the claims in your CLAUDE.md / AGENTS.md / skills that your code no longer supports. Zero-config, no API key.
LeanCTX — Context Intelligence for AI systems.
Goal-based planning and proof gate for AI coding agents
Save 40%+ on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.
Multi-agent codebase review for PRs, CI, and downstream fork syncs.
Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.
Cross-runtime skills for Claude Code, Codex, and multi-agent workflows.
Agentic coding framework powered by AGENTS.md: systematic, test-first workflows with quality gates for Cursor, Codex, Gemini CLI, and AI coding agents.