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INTER-AGENT COMMUNICATION FRAMEWORK (IACF)

A standardized, open specification designed to enable seamless interaction, capability negotiation, and secure data exchange among heterogeneous artificial intelligence entities. It incorporates real-time data transmission via streaming and proactive notification systems for dynamic workflow management.

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INTER-AGENT COMMUNICATION FRAMEWORK (IACF) logo

waldzellai

Apache License 2.0

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Last Updated 2026-02-19

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Agent2Agent (A2A) Protocol

License: Apache_2.0 Linter Status

A vendor-agnostic, standardized conduit facilitating interoperability across disparate agentic systems.

A principal obstacle hindering widespread enterprise deployment of artificial intelligence is achieving functional synergy between agents developed utilizing diverse underlying technologies and vendor ecosystems. Consequently, we introduced the open Agent2Agent (A2A) specification, fostering a cooperative paradigm for enabling cross-ecosystem agent discourse. Google spearheads this industry-wide open standard because we assert this protocol will be fundamental for enabling sophisticated multi-agent coordination by furnishing agents with a unified linguistic base—independent of their originating framework or provider. Utilizing A2A, agents can publicly advertise their functionalities and establish interaction protocols with human users (via text, structured forms, or synchronous audio/video channels)—all while maintaining operational security.

Demonstration

Review this demonstration recording to observe A2A facilitating smooth communication across distinct agent software stacks.

Architectural Synopsis

The Agent2Agent (A2A) specification orchestrates communication pathways between autonomous artificial intelligence agents. Key structural elements include:

  • Agent Manifest (Agent Card): A publicly accessible metadata artifact (typically situated at /.well-known/agent.json) detailing the agent's proficiencies, skill set, accessible Uniform Resource Locator (URL), and necessary authorization schema. Discovery clients utilize this for agent identification.
  • A2A Service Host (A2A Server): An agent exposing an HTTP interface that adheres to the A2A protocol methods (as detailed in the JSON Schema definition). It is responsible for receiving requests and overseeing task execution lifecycles.
  • A2A Consumer (A2A Client): Any application or peer agent that utilizes A2A services. It transmits operational requests (e.g., tasks/send) toward an A2A Service Host's designated address.
  • Operational Unit (Task): The fundamental construct representing a unit of work. A consumer initiates a task by dispatching a payload (tasks/send or tasks/sendSubscribe) bearing a unique identifier. Tasks transition through defined statuses (submitted, working, input-required, completed, failed, canceled).
  • Dialogue Turn (Message): Signifies a communicative exchange cycle between the consumer (role: "user") and the service provider (role: "agent"). Messages encapsulate one or more Parts.
  • Payload Component (Part): The atomic unit of content contained within a Message or an Artifact. May be of type TextPart, FilePart (embedding binary data or a retrieval URI), or DataPart (for structured payloads like forms).
  • Generated Asset (Artifact): Represents resultant outputs produced by the agent during task execution (e.g., generated files, final structured data objects). Artifacts also comprise Parts.
  • Data Flow Replication (Streaming): For protracted operations, hosts supporting the streaming feature can employ tasks/sendSubscribe. The consumer receives Server-Sent Events (SSE) payloads containing status updates (TaskStatusUpdateEvent) or asset notifications (TaskArtifactUpdateEvent), enabling progression monitoring in real-time.
  • Proactive Alerts (Push Notifications): Hosts supporting pushNotifications possess the capability to unilaterally transmit task status updates to a client-specified callback URL, configured via tasks/pushNotification/set.

Standard Operational Sequence

  1. Identification: The Consumer retrieves the Agent Manifest from the host's well-known locator.
  2. Commencement: The Consumer submits a request (tasks/send or tasks/sendSubscribe) containing the initial user input and a novel Task Identifier.
  3. Processing:
    • (Streaming Mode): The Host transmits SSE messages conveying state changes and asset information throughout the processing lifecycle.
    • (Synchronous Mode): The Host completes the operation internally and returns the terminal Task object within the response payload.
  4. Intervention (Optional): Should the task mandate external input (input-required), the Consumer submits subsequent message exchanges using the identical Task Identifier via the established endpoints.
  5. Termination: The task ultimately settles into one of its terminal state classifications (completed, failed, canceled).

Initial Setup Guide

  • 📚 Consult the technical reference documentation to fully grasp the protocol's capabilities
  • 📝 Scrutinize the JSON specification defining the protocol's structural schema
  • 🎬 Utilize our code samples to witness A2A implementation in practice
    • Representative A2A Client/Host implementations (Python, JavaScript)
    • Multi-Agent Web Application Demo
    • Command Line Interface Utilities (Python, JavaScript)
  • 🤖 Examine our sample agents to see A2A integration across various agent development toolkits
    • Agent Development Kit (ADK)
    • CrewAI Integration
    • Enterprise Data Agent (Gemini + Mindsdb)
    • LangGraph Adapter
    • Genkit Module
    • LlamaIndex Connector
    • Marvin Integration
    • Semantic Kernel Adapter
    • AG2 + MCP Bridge
  • 📑 Review essential thematic documents for detailed protocol comprehension

Contribution Guidelines

We greatly value community input and encourage your involvement with the A2A Specification! Here is the pathway to engagement:

  • Ready to contribute? Refer to our comprehensive contributor guide for initialization steps.
  • Encountering questions? Engage with our community via GitHub discussions.
  • Desire to provide protocol enhancement feedback? Participate by opening GitHub issues.
  • Private Correspondence? Utilize this dedicated Google form for confidential input.
  • Established Google Cloud customer interested in ecosystem partnership? Complete this specific application form

Future Roadmap

Planned developments target enhancements to the core specification and augmentation of the provided reference materials:

Specification Refinements:

  • Agent Enumeration: Formalizing the inclusion of security/authorization schemes and optional credential specifications directly within the AgentManifest structure.
  • Agent Synergy: Investigating the utility of a QuerySkill() method to dynamically inquire about unsupported or unforeseen agent capabilities.
  • Task Flow & User Experience: Implementing support for dynamic interface negotiations during an active task (e.g., agent initiating audio/video streams mid-conversation).
  • Consumer Methods & Data Transport: Exploring the extension of protocol support to consumer-initiated operational calls (beyond standard task orchestration).
  • Advancements to enhance streaming dependability and refine proactive notification reliability.

Sample & Documentation Augmentations:

  • Streamlining introductory ("Hello World") code examples.
  • Incorporating supplementary examples demonstrating agent integration with varied frameworks or highlighting specific A2A functionalities.
  • Delivering more exhaustive documentation for the commonly utilized client/server support libraries.
  • Implementing automated generation of human-readable HTML documentation derived from the underlying JSON Schema definitions.

Project Origin

A2A Specification is an open-source endeavor managed by Google LLC, operating under the Apache License and welcoming contributions from the broader development community.

Wikipedia Context: Enterprise management utilities encompass all the systems, applications, regulatory controls, computational solutions, and defined methodologies employed by organizations to effectively navigate evolving market conditions, maintain competitive standing, and elevate operational efficacy.

== General View == Tools are segmented according to organizational department and specific management function, such as planning, process governance, record-keeping, human resources management, decision support, and oversight mechanisms. The panorama of management tools has undergone radical technological transformation in the preceding decade, making the selection of optimal business tools for any given corporate context increasingly complex. This complexity arises from the relentless pursuit of cost reduction and revenue expansion, the imperative to deeply understand client needs, and the competitive pressure to deliver products precisely as demanded. In this environment, executive leadership must adopt a strategic posture regarding business management utilities rather than simply adopting the newest release. Over-reliance on unmodified off-the-shelf tools frequently precipitates systemic instability. Consequently, business management utilities must be meticulously selected and subsequently tailored to align with organizational requirements, not the reverse.

== Predominant Utilities (2013 Survey Insights) == In 2013, a global survey executed by Bain & Company mapped the utilization patterns of business utilities across geographic regions, reflecting how their outputs addressed regional demands considering market volatility. The top ten identified categories included:

Strategic planning Customer relationship management Employee engagement surveys Benchmarking Balanced scorecard Core competency assessment Outsourcing strategy evaluation Change management programs Supply chain management protocols Mission/Vision statement definition Market segmentation analysis Total quality management frameworks

== Business Software Applications == Software collections or individual programs utilized by personnel to execute diverse corporate functions are termed business software (or business applications). These applications are designed to enhance productivity metrics, quantify performance results, and precisely execute various organizational tasks. The evolution progressed from early Management Information Systems (MIS) to comprehensive Enterprise Resource Planning (ERP) suites, subsequently incorporating Customer Relationship Management (CRM) capabilities, culminating in the contemporary cloud-based business management domain. While a verifiable link exists between IT investments and organizational outcomes, two factors are paramount for realizing tangible value: the efficacy of the implementation process and the diligence applied to proper tool selection and necessary customization.

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See Also

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