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agent protocol

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Basic Information

Agent Protocol is a vendor and tech stack agnostic API specification for standardizing how AI agents expose a common interface. It defines a minimal core REST API in an OpenAPI specification that agent developers can implement so their agents present the same endpoints and response models. The protocol targets interoperability, easier benchmarking and the creation of general developer tools that work across agents. The repository includes the protocol specification, an SDK implementation to wrap agents in a web server, and a client library for users of agents. It aims for a simple developer experience so agents can be started with minimal integration work, and it provides guidance and an RFC process for proposing changes and extensions to the protocol.

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1432
App URL
https://github.com/agi-inc/agent-protocol
Github Repository
https://github.com/agi-inc/agent-protocol/blob/main/README.md

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App Details

Features
The repository provides an OpenAPI schema that defines required agent endpoints and response models. It documents key routes including POST /ap/v1/agent/tasks to create tasks and POST /ap/v1/agent/tasks/{task_id}/steps to execute task steps, plus auxiliary routes for listing tasks and steps and for artifact upload/download. It ships an SDK that simplifies implementing the protocol by wrapping an agent in a web server and a client library intended for agent users to interact with deployed agents. The project maintains RFC templates for changes, lists engaged and adopting projects, and publishes a high level roadmap covering agent-to-agent communication, external service integration, authentication on behalf of users, and protocol plugins.
Use Cases
The protocol reduces integration friction by providing a single, predictable API for agents so different agents can be used interchangeably by tools and users. Standardized endpoints make it easier to benchmark agent performance, build cross-agent developer tooling, and compare implementations. The SDK lowers implementation boilerplate for agent authors while the client library lets consumers interact with multiple agents with minimal code changes. Public RFCs and an open roadmap invite community input and help the protocol evolve around practical developer needs. Notable adoptions and engaged projects demonstrate real-world applicability and encourage broader ecosystem interoperability.

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