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12 tháng trướcdiscuss

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.

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12 tháng trướcdiscuss

We built on top of our previous project OWL which ranked top 1 on GAIA: 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.

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12 tháng trướcdiscuss

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.

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12 tháng trướcdiscuss

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

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12 tháng trướcdiscuss

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.

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năm ngoáidiscuss

Excited to share our new project OWL - an open-source alternative to Manus AI with 11K+ GitHub stars and climbing…

OWL: https://github.com/camel-ai/owl

Everyone’s talking about Manus AI (an agent that can research, browse, code, and automate tasks.)

But there’s a catch: → All the above agents cost $20 to $200 a month → Manus AI is available via an invite code only

OWL by CAMEL-AI is an opensource project that’s breaking records:

  11K+ GitHub stars in 5 days
  Ranks #1 on the GAIA Benchmark among open-source projects with a 58.18 avg score!


  Specialized Multi-Agent Collaboration
 ↳ AI user agents break down complex tasks
 ↳ Assistants agents create detailed execution strategies and interact with tools and tool agents
 ↳ Tools / Tool agents interface with external services and APIs

 Real-World Capabilities
 ↳ Autonomous research, coding, and web browsing
 ↳ Runs locally on your machine for privacy
 ↳ Supports top LLMs (easily integrated with GPT-4O, Claude 3.7, Gemini, Mistral, DeepSeek , Qwen, Ollama, Groq more)
 ↳ Automates complex workflows, from research to execution

I Simple Setup ↳ Fast installs via conda or uv ↳ Docker support for easy deployment ↳ Straightforward config with TOML files

No restrictions. No invites. No paywalls. Just powerful multi-agent collaboration.

AI autonomy shouldn’t be locked behind paywalls.

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năm ngoáidiscuss

Check out an open source alternative of Manus - OWL by camel-ai: https://github.com/camel-ai/owl

Submissions

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

Owl – an open-source alternative to Manus AI with 11K+ stars, Top on GAIA OSS

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