
Internet of Agents
Open-source framework for multi-agent AI collaboration on complex tasks
Visão geral
Funcionalidades principais
- Agent-to-agent communication protocol
- Multi-agent task coordination
- Open-source and extensible codebase
- Support for distributed agent networks
- Framework for building collaborative AI workflows
Prós e contras
Prós
- Free and open source
- Enables collaboration across heterogeneous agents
- Flexible and self-hostable
- Useful for complex, multi-step workflows
Contras
- Requires technical setup and coding skills
- Documentation may evolve with the project
- Multi-agent debugging can be complex
Avaliações
Média de 5 avaliações.
Entra para deixar uma avaliação.
Tariq Aziz
Solid for our team
We rolled this out across the team last quarter and enables collaboration across heterogeneous agents. Support for distributed agent networks fits neatly into how we already work, and agent-to-agent communication protocol removed a step we used to do by hand. Documentation may evolve with the project, which is the main caveat, but it has held up under daily use.
Yuki Mori
Use it every day
Honestly didn't expect to like it this much. Agent-to-agent communication protocol is exactly what I needed, and flexible and self-hostable. but I reach for it almost every day now and it just clicks.
Jamal Carter
Use it every day
Honestly didn't expect to like it this much. Support for distributed agent networks is exactly what I needed, and free and open source. I do wish multi-agent debugging can be complex, but I reach for it almost every day now and it just clicks.
Omar Haddad
Solid for our team
We rolled this out across the team last quarter and free and open source. Support for distributed agent networks fits neatly into how we already work, and open-source and extensible codebase removed a step we used to do by hand. Multi-agent debugging can be complex, which is the main caveat, but it has held up under daily use.
Ingrid Bauer
Solid for our team
We rolled this out across the team last quarter and enables collaboration across heterogeneous agents. Open-source and extensible codebase fits neatly into how we already work, and agent-to-agent communication protocol removed a step we used to do by hand. Multi-agent debugging can be complex, which is the main caveat, but it has held up under daily use.
Perguntas e respostas
Ainda sem perguntas — sê o primeiro a perguntar.
Faz uma pergunta
Alternativas a AI Agents Frameworks
Rig
AI Agents Frameworks
Rust framework for building LLM-powered applications with type-safe ergonomics.

Mission Squad
AI Agents Frameworks
Agentic AI platform for building and deploying cooperative multi-agent workflows.

Airtop API
AI Agents Frameworks
Cloud browser automation API built for AI agents to navigate, extract, and act on the web.

Plansom
AI Agents Frameworks
AI-powered work OS that turns business goals into prioritized, executable plans.

Kortix Suna AI
AI Agents Frameworks
Open-source AI agent that acts as a virtual employee for complex, multi-step tasks.

Burr Framework
AI Agents Frameworks
Open-source Python framework for building stateful, decision-making applications like agents and chatbots.
PraisonAI
AI Agents Frameworks
Framework for building autonomous AI agents that automate tasks and solve complex problems.

FloAI
AI Agents Frameworks
Open-source Python framework for building composable AI agents and workflows.








