lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesAn agentic workflow is an automation where an AI agent — not a fixed script — decides the steps: planning, calling tools, checking results, and adapting until a goal is met.
Unlike a deterministic pipeline, an agentic workflow lets the model choose what to do next based on intermediate results. That flexibility suits open-ended tasks like research, code changes, or operations, at the cost of being harder to predict and test.
Production agentic workflows add guardrails, human-in-the-loop checkpoints, and observability so the autonomy stays safe and debuggable. Open-source frameworks increasingly ship these controls by default.
Orchestration-builder SDK for multi-agent coding workflows
Lightweight, open-source AI agent for your tools, chats, and workflows.
🌊 The leading agent orchestration platform for Claude. Deploy intelligent multi-agent swarms, coordinate autonomous workflows, and build conversational AI systems. Features enterprise-grade architecture, self-learning swarm intelligence, RAG integration, and native Claude Code / Codex Integration
Fast, small, and fully autonomous AI personal assistant infrastructure, any OS, any platform — deploy anywhere, swap anything 🦀
RLinf: Reinforcement Learning Infrastructure for Embodied and Agentic AI
An agentic skills framework & software development methodology that works.
OpenViking is an open-source context database designed specifically for AI Agents(such as openclaw). OpenViking unifies the management of context (memory, resources, and skills) that Agents need through a file system paradigm, enabling hierarchical context delivery and self-evolving.
Build, run and scale AI agents like API and microservices - observable,auditable and identity-aware from day one.