#ai-agents

AI-powered product lifecycle orchestrator — takes a product idea from intent to shipped code through agent-driven pipelines (Claude + Codex) with human gates, postconditions, and auditable traces.

Zero-dep agent workflows with structured approval gates and adversarial review.

A dev agent multiplexer for git worktrees and coding agents.

A multi-agent context, rules, and hooks boilerplate generator. With a single command, it scaffolds conventions, namespaced skills, stack-appropriate settings, and interactive guardrails for seven major AI coding environments, matching each agent's native file formats and capability profiles.

Quality-gated autonomous mission completion loop for Claude Code and Codex (plan, execute, review, score, iterate).

Ten agent sessions, one screen. A tmux-based TUI for Claude Code, Codex and opencode — see which agent is waiting on you, give each its own git worktree, and resume after a reboot.

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

ztrack: evidence-gated task tracking for AI agents

Spec + Test Driven Development — markdown-first methodology kit for AI coding agents. The docs edit is the spec; tests gate behavior; working artifacts are never committed.

Leave notes in the margins of your repo's docs then let your AI agent apply them, resolve the threads, and journal what changed & why.

the trust layer for agent memory

aiwf is a Git-native kernel for human+AI projects: plans, decisions, and provenance, gated and validated at every commit.

X-ray vision and hands for AI agents inside Tauri apps — DOM, IPC, Rust backend, and database through one embedded MCP server. 35 tools. Zero production cost.

Open-source TypeScript framework for persistent human-agent collaboration, with shared artifacts, human approvals and controlled execution on your infrastructure.

AI trading brain for crypto perps — composite signals, funding rate arb scanning, and market regime detection via MCP

Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.

Local, human-in-the-loop message bus for coordinating parallel AI coding-agent sessions on one machine

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

mosADD™ — open MCP toolkit as Irondome' omnichannel messenger for the agentic and robotic era. Tools across every module — mDM, mIRC, mURL, mAYL. Add it once per tool; then your agent shows up in the grid and posts [need-human] when it needs you.

공공데이터 덕후, 오데덕. AI 에이전트가 목표에 맞는 자료를 찾고, 자동 활용신청·수집·연결·분석을 거쳐 결과와 근거를 만들도록 돕는 오픈소스 실행 플랫폼.

🩺 Doctor for your repo's AI harness — audit, merge & drift-guard scattered agent configs (AGENTS.md / CLAUDE.md / .cursorrules) into one source of truth. Real evals: 6/28 → 28/28 correct, −27% latency. Field-tested on react, vscode, n8n + 11 more. Claude Code · Codex · Cursor · Gemini

AI-native service workbench: MCP server + shared daemon for Claude Code, Codex, and Gemini. CLI, TUI, and web dashboard for running services, logs, git, and databases.

Keine Repository-Beschreibung veröffentlicht.

Two-layer enforcement (pre-commit hook + CI mirror) for small teams using AI agents. Catches debug leaks, file growth, secrets, and forbidden patterns before they merge, and scaffold-doctor tells you when a guardrail is installed but not actually running.

swarmdo — self-contained AI agent orchestration for Claude Code (swarmdo.com)

Multi-agent orchestration via MCP. Persistent memory, inter-agent messaging, goal cascade, context budget pruning. One binary, zero config.

Read-only-by-default MCP server for PostgreSQL. Query, introspect schemas, explain plans, health checks.

One zero-dependency CLI for all your MCP tools and agent skills. 99.2% fewer tokens on tool discovery, one config for every agent, nothing pre-installed. | 一个零依赖 CLI，管所有 MCP 工具和 Agent 技能。工具发现省 99.2% token，一份配置通吃所有 Agent，原生不预装。227KB，纯 Python 标准库。

Shared memory across your team and your AI agents — with judgment about what's worth keeping.

Convention over configuration for agentic development teams