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apcore-a2a

Secure Agent-to-Agent Communication Bridge

apcore-a2a is a standardized protocol and bridge for secure, direct communication between autonomous AI agents. It provides a robust discovery mechanism for agents to find each other, negotiate capabilities via standardized schemas, and execute tasks with verified identity. Built to enable the next generation of collaborative AI systems, it handles automated schema translation and secure transport, ensuring that agents can work together as a seamless team across different platforms and providers.

· interactive

A2A Protocol Visualizer

Visualize how autonomous agents discover each other and collaborate via secure protocols.

· 01

Features

01Agent Discovery: Universal mechanism for finding available agents and their capabilities
02Capability Negotiation: Automatic matching of task requirements with agent skills
03Secure Transport: Encrypted, direct communication channels between agents
04Identity Verification: Cryptographic proof of agent identity and authorization
05Automated Schema Translation: Bridge data models between different agent implementations
06Direct Execution: Verified task delegation and result gathering
07A2A Protocol: Open specification for cross-provider agent collaboration
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Get Started

Python · Implementation

Python reference implementation of the Agent-to-Agent communication protocol.

Install
$ pip install apcore-a2a
Quick Start
python.py
from apcore_a2a import Agent, Discovery

# Initialize agent with capabilities
agent = Agent(name="Researcher", capabilities=["web_search", "summarization"])

# Discover other agents on the network
discovery = Discovery()
available_agents = await discovery.find_agents(required_skills=["coding"])

# Negotiate and execute a collaborative task
if available_agents:
    peer = available_agents[0]
    result = await agent.collaborate(peer, task="Write a summary")
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