lobehub/lobehub
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
Awesome MCP › Agent Orchestration Platforms
OpenHuman is an open-source personal AI assistant developed by tinyhumansai, described in its README as a brain, an orchestrator and a deep researcher built to be local-first. Its memory system, called the Memory Tree, compresses a user's data into scored Markdown files stored in a local SQLite database and mirrored as an Obsidian vault that can be opened and edited directly, avoiding an opaque vector database. The project connects to over 100 OAuth integrations such as Gmail, Notion, GitHub and Slack, more than 5,000 MCP servers, and around 90,000 skills, and it periodically auto-fetches from these sources to keep its memory current. A feature called TokenJuice compresses tool output before it reaches the language model to cut token usage. On the orchestration side, OpenHuman lets a user review agent-proposed automations on a canvas before saving them as durable, trigger-driven workflows built on the open-source tinyflows project. Agent execution runs on checkpointed graphs from the open-source tinyagents project, with the stated aim of steering stuck agents, returning a root cause when a run halts, and replaying a run with its per-call costs. The system also runs a fast reflex agent to triage incoming traffic alongside a slower, deeper reasoning core that delegates to worker fleets. For research and action it ships managed web search backed by Exa, a scraper, a coding toolset, a browser tool, and native voice support through an in-process Whisper model, together with model routing that picks a language model per workload. Installers cover major desktop platforms plus Homebrew, Debian/Ubuntu and AUR. The project is in early beta and targets people who want one local assistant that remembers their data, automates recurring tasks, and reaches a large number of external tools through MCP and OAuth rather than bundling each integration itself.
https://github.com/tinyhumansai/openhuman
LobeHub is a platform that enables multi-agent collaboration and human-agent co-evolution by treating AI agents as units of work, providing tools to build, manage, and collaborate with AI agent teams seamlessly.
GPT Researcher is an autonomous AI agent that conducts deep local and web research on any topic, generating detailed, unbiased reports with citations and supporting integration with the Model Context Protocol (MCP) for enhanced data sourcing.
Haystack is an open-source AI orchestration framework for building production-ready LLM applications in Python, enabling modular pipelines and agent workflows with explicit control over retrieval, ...
Activepieces is an open-source AI automation platform providing an extensible MCP toolkit and over 280 MCP servers for AI agents, designed for both technical and non-technical users.
Swarm is an educational framework by OpenAI for lightweight, scalable multi-agent orchestration using agents and handoffs, designed to explore and teach multi-agent coordination techniques.
Superset is a desktop application designed to orchestrate and manage multiple CLI-based AI coding agents in parallel, using isolated Git worktrees for efficient, context-separated development.
VoltAgent is an open-source TypeScript framework for building and orchestrating autonomous AI agents with support for the Model Context Protocol (MCP) to enable standardized tool interactions and scalable multi-agent systems.
PraisonAI is a production-ready Multi AI Agents framework that provides a low-code solution for building and managing multi-agent LLM systems with a focus on simplicity, customization, and human-agent collaboration.