TL;DR
Eigent is an open-source desktop application that orchestrates multi-agent AI workforces for automating complex workflows. It supports local deployment, integrates Model Context Protocol (MCP) tools, and offers enterprise controls such as SSO and negotiated SLAs.
What happened
Eigent launched as a 100% open-source cowork desktop built on the CAMEL-AI multi-agent framework, aiming to let users create, manage and deploy coordinated AI agents that run tasks in parallel. The project emphasizes local deployment—running a local backend, integrating local models (vLLM, Ollama, LM Studio and others), and isolating operations from cloud services—while also providing a cloud-connected quick start that requires Node.js (18–22) and npm and an account registration. Eigent supplies pre-defined agent roles (Developer, Search, Document and Multi-Modal), built-in MCP tool integration for browsing, code execution and productivity apps, and human-in-the-loop handoffs when tasks need clarification. The codebase and documentation are public on GitHub under the Apache 2.0 license; the repository shows active community engagement with forks and stars. The project also advertises an enterprise offering with SSO, access control, scalable deployment and negotiated SLAs.
Why it matters
- Open-source code and Apache 2.0 licensing let organizations inspect and modify the software without vendor lock-in.
- Local deployment options provide teams with a way to run multi-agent workflows without sending data to third-party clouds.
- Built-in MCP tool integrations enable agents to interact with common services and internal APIs, broadening automation use cases.
- Enterprise features (SSO, access control, SLAs) position Eigent for organizational adoption beyond individual experimentation.
Key facts
- Built on CAMEL-AI’s open-source multi-agent framework.
- Project is released under the Apache License 2.0 and is fully open source.
- Recommended deployment is fully local with a local backend server and support for local models like vLLM, Ollama and LM Studio.
- Cloud-connected quick start requires Node.js 18–22, npm, cloning the GitHub repo and an account for Eigent cloud services.
- Includes pre-defined agent types: Developer Agent, Search Agent, Document Agent and Multi-Modal Agent.
- Provides integrated MCP tools for browsing, code execution, Notion, Google Suite, Slack and custom tool installation.
- Supports human-in-the-loop interventions when agents encounter uncertainty.
- Technology stack highlights: FastAPI backend, Uvicorn async server, React frontend, Electron desktop wrapper and TypeScript.
- Repository shows community traction on GitHub (approximately 600 forks and 4.9k stars in the source snapshot).
- Offers enterprise plans with SSO, access control, scalable deployment and negotiable SLAs; contact via info@eigent.ai for details.
What to watch next
- Roadmap work on context engineering, multi-modal enhancement, and expanded multi-agent workflows as listed in the project roadmap.
- Improvements planned for browser and document toolkits and integration with benchmarking and reinforcement-learning frameworks.
- Cloud pricing, detailed SLA terms and specific enterprise deployment timelines: not confirmed in the source.
Quick glossary
- Multi-agent system: A software architecture where multiple autonomous agents coordinate and collaborate to perform tasks or solve problems.
- Local deployment: Running software on infrastructure controlled by the user or organization, without dependence on external cloud services.
- Model Context Protocol (MCP): A set of tool integrations and interfaces that let models access external data sources, services, and application functionality.
- Human-in-the-loop: An operational mode where a human reviews, intervenes, or provides input when an automated system encounters ambiguous or failing cases.
- Apache License 2.0: A permissive open-source license that allows users to use, modify and distribute code with limited restrictions.
Reader FAQ
Is Eigent fully open source?
Yes. The project is published on GitHub under the Apache License 2.0.
Can Eigent be run without cloud services?
Yes. The recommended deployment is fully local with no external dependencies; a cloud-connected quick start is also offered.
What agent types are included out of the box?
The repository lists Developer, Search, Document and Multi-Modal agents as pre-defined worker types.
Are enterprise SLAs and pricing available?
The source states enterprise offerings include negotiable SLAs and implementation services, but specific pricing or SLA details are not provided.
How can I contribute or get support?
Contributions and support channels include the project’s GitHub issues, a Discord community and contact via info@eigent.ai.
Eigent: The Open Source Cowork Desktop to Unlock Your Exceptional Productivity English · 简体中文 · Official Site · Documents · Feedback Eigent is the open source cowork desktop application, empowering you…
Sources
- Eigent: An open source Claude Cowork alternative
- Multi-Agent Workforce Platform | Eigent AI | Eigent AI
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