Orchestration
Research papers, repositories, and articles about orchestration
Showing 10 of 10 items
NousResearch/hermes-agent
Hermes-agent is a popular agent framework built around modern open models. It focuses on long-running, tool-using workflows instead of single-shot chats. Use it as a reference if you’re assembling your own agent stack rather than wiring tools together ad hoc.
openclaw/openclaw
Cross-platform personal AI assistant that runs anywhere. Targets power users who want a local-first, extensible agent instead of being locked into one vendor.
dify
A very popular production-ready platform for building agentic workflows and applications, with UI, orchestration, and deployment all in one. Given its star growth, it’s becoming a de facto choice for many teams moving beyond simple RAG bots. ([github.com](https://github.com/trending?since=daily))
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace
HuggingGPT treats a large language model as a conductor that calls out to many specialist models on HuggingFace. It shows how a text model plus a rich model hub can handle complex tasks spanning vision, speech, and language.
ruvnet/ruflo
Agent orchestration platform tuned for Claude-based systems. Focuses on multi-agent swarms, enterprise deployments, and built-in RAG and code workflows. If you’re standardizing on Claude for serious products, study this before rolling your own orchestrator. ([github.com](https://github.com/trending?since=daily))
simstudioai/sim
Sim is an open platform for building and deploying AI agent workflows end to end. It focuses on visual orchestration, so teams can compose tools, models, and memory without hand-rolling brittle pipelines.
Confucius Code Agent: An Open-sourced AI Software Engineer at Industrial Scale
Meta describes Confucius Code Agent (CCA), an open-source AI "software engineer" built on the Confucius SDK with hierarchical working memory, persistent cross-session notes, and robust tool orchestration. On SWE-Bench-Pro it reaches 54.3% Resolve@1, substantially outperforming prior coding agents while emphasizing transparency and extensibility for industrial-scale workflows. ([huggingface.co](https://huggingface.co/papers/2512.10398))
revfactory/harness
Meta-agent that designs domain-specific agent teams, defines their roles, and generates their skills. It treats agent setups as code, not ad-hoc prompts. If you’re scaling from one agent to many, this shows how to standardize the "harness" layer.
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
Presents a framework that treats an agent swarm as a graph you can design, visualize, and debug. Makes multi-agent systems feel more like building workflows than wiring hacks.
Q00/ouroboros
Positions itself as an "agent OS": specify tasks and constraints instead of hand-writing prompts. Aims to standardize how you define and compose agent behaviors. If you’re drowning in brittle prompt chains, this is a cleaner abstraction to copy. ([github.com](https://github.com/trending/python?since=daily))