Launch: Eigent – Open-Source Local-First Multi-Agent Workforce Built on Camel-AI (eigent.ai)

Hi HN, I’m Guohao Li, founder of CAMEL-AI.org and Eigent.AI.

We’ve just launched Eigent, a fully open source desktop application for building and managing multi-agent AI workflows, either locally or in the cloud.

Eigent is built on top of the CAMEL-AI framework and designed specifically for developers, researchers, and teams who want increased control, privacy, and flexibility in their AI operations.

Key features include:

- Multi-agent workflows with parallel execution - Integration of 200+ Model Context Protocol (MCP) tools or custom integrations - Local deployment and “Bring Your Own Key” support for custom models - Optional human-in-the-loop interaction - Complete data ownership and privacy: data remains local unless explicitly shared

If you're interested in multi-agent systems, workflow automation, or maintaining full control over your AI agent infrastructure, we’d love your feedback.

→ GitHub: https://github.com/eigent-ai/eigent

→ Website: https://www.eigent.ai

I’m here and happy to discuss the technical details, architecture, or any questions you might have.

Just tried it yesterday, too good to be open sourced.

Congrats on the launch!!

CAMEL-AI has always been my best known open-source community.Its really good to see you guys doing such a great progress. Btw congrats on the launch.

I think i saw it on X, what's the tech stack behind it??

While playing Minecraft (and coincidentally finding the perfect NVMe SSD for my ASRock B450M/ac motherboard), I started wondering — how does Eigent manage shared memory/state consistency between agents on the same local desktop?

It says "Ranked Top 1 on GAIA Benchmark", but I don't see it anywhere on https://huggingface.co/spaces/gaia-benchmark/leaderboard , what am I missing?

EDIT: Also, almost every positive comment here is by a user with 1 karma - what's up with this?

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So what makes it any different compared to Manus or Crewai?

No other reasoning model other than Gemini-2.5 Pro? The pricing tiers on the website list only 3 models, one being Gemini and other 2 being GPT-4 artifacts, Perhaps, one can highlight there that one can bring their own API key?, if thats the case. Also, does it support Clade-Opus 4?

How many agent workers of each type is gonna be spun for any task? How do you come up with an optimal number for a task when the more workers there are, the higher the token usage would be, making it more expensive?