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Launch: Eigent – Open-Source Local-First Multi-Agent Workforce Built on Camel-AI

8 points by lightaime 1y ago

lightaime 1y ago
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 https://github.com/eigent-ai/eigent → Website: https://www.eigent.ai https://www.eigent.ai I’m here and happy to discuss the technical details, architecture, or any questions you might have.
- jauhar_ 1y ago
  Congrats on the launch, Guohao!
thenomadev 1y ago
Just tried it yesterday, too good to be open sourced. Congrats on the launch!!
deleted 1y ago
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bipul__sharma__ 1y ago
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.
hepta700 1y ago
I think i saw it on X, what's the tech stack behind it??
- lightaime 1y ago
  It is a desktop app. We built it with: Backend - Framework: FastAPI - Package Manager: uv - Async Server: Uvicorn - Authentication: OAuth 2.0, Passlib. - Multi-agent framework: CAMEL Frontend - Framework: React - Desktop App Framework: Electron - Language: TypeScript - UI: Tailwind CSS, Radix UI, Lucide React, Framer Motion - State Management: Zustand - Flow Editor: React Flow Check the source code for more details
  - hepta700 1y ago
    Awesome, what models does it support ??
    - lightaime 1y ago
      We support models like Gemini 2.5 pro, GPT-4.1 and Claude-3.7 and so on. You can also use local models served by Ollama, vLLM or SGLang. The minimum requirement is a model that supports tool calling.
deleted 1y ago
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hurtbadly 1y ago
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?
falcor84 1y ago
It says "Ranked Top 1 on GAIA Benchmark", but I don't see it anywhere on https://huggingface.co/spaces/gaia-benchmark/leaderboard 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?
- lightaime 1y ago
  We built on top of our previous project OWL which ranked top 1 on GAIA: https://github.com/camel-ai/owl https://github.com/camel-ai/owl in March. For the Eigent update, we haven't got to benchmark it on GAIA yet. Will do it soon in the up coming weeks. Sorry for the confusion.
_tusharrathore 1y ago
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AsmDevsit 1y ago
So what makes it any different compared to Manus or Crewai?
- lightaime 1y ago
  Compared to Manus, Eigent is a local-first multi-agent systems. It can do things like operating local files or OS that Manus cannot. It can also execute tasks in parallel. Manus can only do tasks linearly as far as I know. As for crewai, crewai is a framework but we use camel framework instead.
hurtbadly 1y ago
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?
jauhar_ 1y ago
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?

8 points by lightaime 1y ago

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 https://github.com/eigent-ai/eigent → Website: https://www.eigent.ai https://www.eigent.ai I’m here and happy to discuss the technical details, architecture, or any questions you might have.

jauhar_ 1y ago
Congrats on the launch, Guohao!

thenomadev 1y ago

Just tried it yesterday, too good to be open sourced. Congrats on the launch!!

deleted 1y ago

[deleted]

bipul__sharma__ 1y ago

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.

hepta700 1y ago

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

lightaime 1y ago
It is a desktop app. We built it with: Backend - Framework: FastAPI - Package Manager: uv - Async Server: Uvicorn - Authentication: OAuth 2.0, Passlib. - Multi-agent framework: CAMEL Frontend - Framework: React - Desktop App Framework: Electron - Language: TypeScript - UI: Tailwind CSS, Radix UI, Lucide React, Framer Motion - State Management: Zustand - Flow Editor: React Flow Check the source code for more details
- hepta700 1y ago
  Awesome, what models does it support ??
  - lightaime 1y ago
    We support models like Gemini 2.5 pro, GPT-4.1 and Claude-3.7 and so on. You can also use local models served by Ollama, vLLM or SGLang. The minimum requirement is a model that supports tool calling.

deleted 1y ago

[deleted]

deleted 1y ago

[deleted]

hurtbadly 1y ago

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?

falcor84 1y ago

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

lightaime 1y ago
We built on top of our previous project OWL which ranked top 1 on GAIA: https://github.com/camel-ai/owl https://github.com/camel-ai/owl in March. For the Eigent update, we haven't got to benchmark it on GAIA yet. Will do it soon in the up coming weeks. Sorry for the confusion.

_tusharrathore 1y ago

[dead]

AsmDevsit 1y ago

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

lightaime 1y ago
Compared to Manus, Eigent is a local-first multi-agent systems. It can do things like operating local files or OS that Manus cannot. It can also execute tasks in parallel. Manus can only do tasks linearly as far as I know. As for crewai, crewai is a framework but we use camel framework instead.

hurtbadly 1y ago

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?

jauhar_ 1y ago

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?