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Hector

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Declarative platform for pure A2A-native AI agents.

Autonomous AgentsGeneral-Purpose 54Open source
View on GitHub
Updated 2026-06-15
Hector GitHub repository

What is Hector?

Hector is an open-source, declarative platform centered on A2A-native AI agents. It provides a clean way to describe agents and their interactions without relying on imperative scripting or external orchestration layers.

Agents are defined through structured declarations that the platform interprets directly, enabling consistent A2A messaging and behavior across deployments. This approach reduces boilerplate while keeping the runtime focused on agent-to-agent coordination.

It is intended for developers and teams that need reliable, specification-driven agents in multi-agent environments where interoperability and simplicity matter more than feature-heavy tooling.

What you can build with Hector

A2A system prototyping

Quickly declare and test agents that communicate directly with each other using a shared declarative format.

Interoperable agent networks

Build collections of agents that follow consistent A2A protocols without custom integration code.

Specification-first development

Define agent roles and interactions upfront so behavior remains predictable across different environments.

Install Hector

Quick start
curl -fsSL https://gohector.dev/install.sh | sh
hector serve
  1. 1Clone the Hector repository from its open-source location.
  2. 2Review the declarative schema examples included in the project.
  3. 3Write a minimal agent definition using the supported A2A format.
  4. 4Run the platform runtime against your definition file.
  5. 5Observe A2A message exchange between declared agents.

Hector: pros & cons

Pros

  • +Fully open-source with transparent codebase
  • +Strictly declarative approach reduces coding overhead
  • +Native A2A focus ensures consistent agent communication
  • +Lightweight design suitable for focused deployments

Cons

  • Limited documentation and community resources at present
  • Requires familiarity with A2A concepts to use effectively
  • Fewer built-in integrations than broader agent frameworks
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Frequently asked questions

It means agents are designed from the ground up to communicate directly with other agents using a standard protocol rather than through external bridges.

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