v4.0.3 · Apache-2.0
Trigger.dev – build and deploy durable AI agents and workflows
v2.5.0 · MIT
Self-Optimizing Neural Architecture (SONA) for Claude Flow — adaptive learning, trajectory tracking, pattern reuse, 7 RL algorithms (PPO/A2C/DQN/Q-Learning/SARSA/Decision Transformer/Curiosity), Flash Attention, MoE routing, LoRA, EWC++ for continual lear
v2.1.3 · MIT
The agentic meta-harness — freeze the model, evolve the harness. An open runtime that routes each query to the cost-optimal model, evolves its own harness (planner/context/reviewer/retry/tool/memory/score policy) and autonomously repairs code, then orches
— · Apache-2.0
88 installable open-source Agent Skills for research, social intelligence, marketing, and business workflows—compatible with Codex, Claude Code, Cursor, Gemini CLI, and DeepSeek Harness.
v1.3.0 · MIT
Persistent multi-model workflow teams for DeepSeek Harness — dynamic lead planning, bounded DAGs, per-agent model/tools, Run Center and Token insights.
— · MIT
Opinionated AI coding agent and dev environment automation for macOS
— · BUSL-1.1
An autonomous software factory that knows what it is supposed to deliver, and proves it did.
v0.22.3 · MIT
Lightweight Codex/Claude loop harness with strict evidence gates.
v0.1.0 · Apache-2.0
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
v2.33.0 · Apache-2.0
AI said it finished. Flyto2 shows the proof.
v0.28.1 · MIT
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.
v0.0.0 · Apache-2.0
A control plane with a durable state kernel for long-horizon agents and teams. Keep work moving and improving across sessions, with less human attention.
v2.1.1 · MIT
Claude Code plugin for multi-step workflow orchestration — automatic task decomposition, parallel agent execution, and specialized agent delegation with native plan mode integration.
v0.3.0 · MIT
Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.
v1.1.0 · MIT
Compare multiple skills on the same task and pick the winner.
— · MIT
23 practical agent skills: TeamWorkflow, multi-model review, media ingestion, and writing. Original Claude Code packages plus a Codex desktop edition tuned for Astra. Source for clickai.dev.
v1.5.3 · MIT
dsh「专家团」bundle:一句自然语言组建角色化多智能体「数字员工」团队,按九阶段门控流水线协作交付,实现者直接改代码并产出持久工件;带 live 团队浮层。 · Role-based multi-agent expert team for DeepSeek Harness: one sentence in, a staged and gated team delivery out.
v0.3.0 · MIT
GitHub Issues-backed agent orchestration for Claude Code – a single Claude wears persona hats (Orchestrator, CEO, workers) routed by issue labels, driven by a heartbeat loop
v0.1.4 · MIT
Fable-style verification gate for Claude Code: don't say done until it's verified. Port of the Codex plugin by Agent Korea (플라잉따릉이).
v0.92.0 · no license
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
v0.1.0 · no license
Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.
— · MIT
AI agent 通用任务治理框架:对齐目标与事实,规划和调度能力,守住授权与风险边界,治理任务执行到真实验收与交付。Governance framework for evidence-driven planning, orchestration, and verified delivery.
v0.100.0 · no license
The batteries-included, No-Code FinOps automation platform, with the AI you trust.
v1.0.0 · GPL-3.0
全栈资讯处理与 AI Agent 系统。它能够自动化地从全球多源渠道抓取高质量资讯,利用顶级大语言模型进行深度总结,并将其分发至多种终端