agent-protocol

作者 agi-inc

Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents.

1,455
Stars
186
Forks
Python
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/agi-inc/agent-protocol

快速入门

使用 agent-protocol 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

agent protocol

Maintained by AGI, Inc.

📚 Docs

You can find more info in the docs.

🧾 Summary

The AI agent space is young. Most developers are building agents in their own way. This creates a challenge: It's hard to communicate with different agents since the interface is often different every time. Because we struggle with communicating with different agents, it's also hard to compare them easily. Additionally, if we had a single communication interface with agents, it'd also make it easier developing devtools that works with agents out of the box.

We present the Agent Protocol - a single common interface for communicating with agents. Any agent developer can implement this protocol. The Agent Protocol is an API specification - list of endpoints, which the agent should expose with predefined response models. The protocol is tech stack agnostic. Any agent can adopt this protocol no matter what framework they're using (or not using).

We believe, this will help the ecosystem grow faster and simplify the integrations.

We're starting with a minimal core. We want to build upon that iteratively by learning from agent developers about what they actually need.

🚀 The incentives to adopt the protocol

  • Ease with which you can use the benchmarks.
  • Other people can more easily use and integrate your agent
  • Enable building general devtools (for development, deployment and monitoring) that can be built on top of this protocol
  • You don’t need to write boilerplate API and you can focus on developing your agent

🎯 Immediate goals of the protocol

Set a general simple standard that would allow for easy to use benchmarking of agents. One of the primary goals of the protocol is great developer experience, and simple implementation on the end of agent developers. You just start your agent and that’s all you have to do.

🗣️ Request for Comments

If you'd like to propose a change or an improvement to the protocol. Please follow the RFC template.

⚙️ Components

Protocol

The most important part. It specifies which endpoints should the agent expose. The protocol is defined in OpenAPI specification.

How does the protocol work?

Right now the protocol is defined as a REST API (via the OpenAPI spec) with two essential routes for interaction with your agent:

  • POST /ap/v1/agent/tasks for creating a new task for the agent (for example giving the agent an objective that you want to accomplish)
  • POST /ap/v1/agent/tasks/{task_id}/steps for executing one step of the defined task

It has also a few additional routes for listing the tasks, steps and downloading / uploading artifacts.

SDK

This is our implementation of the protocol. It’s a library that you can use to build your agent. You can use it, or you can implement it on your own. It’s up to you.

Using the SDK should simplify the implementation of the protocol to the bare minimum, but at the same time it shouldn't tie your hands. The goal should be to allow agent builders to build their agents and the SDK should solve the rest.

Basically it wraps your agent in a web server that allows for communication with your agent (and in between agents in the future).

Client

This library should be used by the users of the agents. Your agent is deployed somewhere and the users of your agent can use this library to interact with your agent.

Thanks to the standard the users can try multiple agents without the need for any additional adjustments (or very minimal) in their code.

📦 How to use the protocol

If you're an agent developer, you can use the SDK to implement the protocol. You can find more info in the docs or in the SDK folder.

🤗 Adoption

Engaged projects in development of agent protocol

Open-source agents and projects that have adopted Agent Protocol

📃 High-level future roadmap

  • Agent-to-agent communication
  • Connection to the outside world:
    • 3rd party services (= “Agent I/O”)
    • Authentication on behalf of users
  • Protocol Plugins
  • Is there anything missing? Please submit an RFC with a proposed feature!

💬 Public discourse & development

  • PRs and issues are welcome!
  • Join AIEF Discord and their dedicated agent-protocol channel
  • Join Auto-GPT Discord and their dedicated agent-protocol channel
  • Join e2b Discord and their dedicated agent-protocol channel

Star History

Star History Chart

常见问题

What is agent-protocol?

agent-protocol is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by agi-inc. Common interface for interacting with AI agents. The protocol is tech stack agnostic - you can use it with any framework for building agents. It has 1,455 GitHub stars.

Is agent-protocol safe to use?

agent-protocol failed SkillsLLM's automated security scan, which flagged one or more high-severity issues. Review the Security Report section carefully before using it.

How do I install agent-protocol?

Clone the repository with "git clone https://github.com/agi-inc/agent-protocol" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is agent-protocol written in?

agent-protocol is primarily written in Python. It is open-source under agi-inc on GitHub, so you can review or fork the full source.

Are there alternatives to agent-protocol?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agent-protocol against similar tools.

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