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agent protocol

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Basic Information

Agent Protocol is an open API specification and reference implementation intended to create a single, common interface for communicating with AI agents. It defines a minimal, tech-agnostic REST API surface so any agent implementation can expose consistent endpoints and response models, making agents interoperable. The repository contains the protocol schema in OpenAPI form, an SDK to simplify implementing the protocol, and a client library for users to interact with deployed agents. The protocol focuses on simple developer experience, enabling easy benchmarking, comparison and tooling across agents. It specifies core routes for creating tasks and executing task steps, plus auxiliary routes for listing tasks and steps and handling artifacts. The project also includes contribution guidance such as an RFC template and a public roadmap with future items like agent-to-agent communication and extensions.

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1243
App URL
https://github.com/Div99/agent-protocol
Github Repository
https://github.com/Div99/agent-protocol/blob/main/README.md

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App Details

Features
The project centers on a formal OpenAPI specification that prescribes the endpoints agents should expose. Core endpoints include creating tasks via POST /ap/v1/agent/tasks and executing steps via POST /ap/v1/agent/tasks/{task_id}/steps. Additional routes support listing tasks and steps and uploading or downloading artifacts. The repository provides an SDK to wrap an agent in a web server and reduce implementation boilerplate, and a client library to unify how users interact with agents. It includes an RFC template for proposing protocol changes, example integrations and a public roadmap. The design is intentionally minimal to prioritize developer experience and ease of adoption. The README documents adoption signals and engaged projects to encourage ecosystem interoperability.
Use Cases
The protocol lowers the barrier for integrating and comparing diverse agent implementations by standardizing communication and response models. Adopting it removes the need to design custom agent APIs, reducing boilerplate and accelerating agent development. Standard endpoints make it easier to build shared devtools for testing, benchmarking, deployment and monitoring that work across implementations. The SDK and client libraries shorten integration time for both agent builders and users, enabling agents to be tried or swapped with minimal code changes. The roadmap and RFC process invite community-driven extensions such as agent-to-agent communication and third-party service connectors, which can expand capabilities while preserving interoperability.

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