a2a-python
The A2A Python SDK is an official library for building agentic applications that comply with the Agent2Agent (A2A) Protocol. It supports multiple transport protocols (JSON-RPC, HTTP/REST, gRPC) and includes optional integrations for FastAPI, databases, and observability tools.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | a2aproject/a2a-python |
| Owner | a2aproject |
| Primary language | Python |
| License | Apache-2.0 — OSI-approved |
| Stars | 2k |
| Forks | 452 |
| Open issues | 49 |
| Latest release | v1.1.0 (2026-05-29) |
| Last updated | 2026-07-01 |
| Source | https://github.com/a2aproject/a2a-python |
What a2a-python is
A production-ready async Python SDK implementing A2A Protocol 1.0 (with 0.3 compatibility mode) for agent-to-agent communication. Built on modern async patterns, it provides pluggable transport backends, SQL database support, and optional OpenTelemetry tracing; requires Python 3.10+.
Get the a2a-python source
Clone the repository and explore it locally.
git clone https://github.com/a2aproject/a2a-python.gitcd a2a-python# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Major breaking changes between v0.3 and v1.0—review migration guide before upgrading production deployments.
- Multiple transport options (JSON-RPC, HTTP, gRPC) available; choose based on network topology and existing infrastructure.
- Database support requires explicit driver installation (PostgreSQL, MySQL, SQLite); SQLite is lightweight for prototyping.
- Optional integrations (FastAPI, gRPC, OpenTelemetry) must be added as extras; core SDK is lightweight.
- Async-first design requires competency with Python async/await patterns and event loop management.
When to avoid it — and what to weigh
- Simple Chatbot or Single-Agent Systems — If you need only one agent or basic conversational AI, the overhead of protocol compliance and server setup is likely unnecessary.
- Non-A2A Protocol Environments — If your ecosystem is standardized on a different agent protocol (e.g., proprietary or legacy), this SDK adds integration friction without benefit.
- Python < 3.10 — The SDK requires Python 3.10 or higher. Older codebases cannot use this library without upgrading their runtime.
- Minimal Observability Requirements — OpenTelemetry is optional, but if tracing/monitoring is mandatory in your environment, the optional nature may complicate ops setup.
License & commercial use
Apache License 2.0 (Apache-2.0). Permissive OSI-approved license allowing commercial use, modification, and distribution.
Apache 2.0 is a permissive license that explicitly permits commercial use without restrictions. Attribution is required; no patent indemnity disclaimers. Suitable for proprietary products and closed-source deployments. Review Apache 2.0 terms for liability clauses in high-stakes environments.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Strong |
| Assessment confidence | High |
Optional encryption support available via extras. No detailed security policy or disclosure process documented in excerpt. Transport security depends on chosen protocol (TLS for HTTP/gRPC, mTLS possible). Review A2A Protocol specification for message signing/authentication semantics. No exploit details available; third-party audit status unknown.
Alternatives to consider
LangChain / LangGraph
General-purpose agent orchestration framework; more mature, broader ecosystem, but not protocol-specific and more opinionated on LLM integrations.
AutoGen (Microsoft)
Multi-agent conversation framework with strong async support and built-in LLM connectors; does not enforce A2A protocol, more flexible but less standardized.
Anthropic's MCP (Model Context Protocol)
Complementary protocol for tool/resource exposure; lighter weight than A2A, but narrower scope (MCP ≈ client/server tools; A2A ≈ agent-to-agent).
Build on a2a-python with DEV.co software developers
The A2A Python SDK is production-ready and actively maintained. Start with the helloworld example or review the migration guide if upgrading from v0.3.
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a2a-python FAQ
Is this the official A2A SDK?
Can I use this for production?
What Python versions are supported?
Do I need to run a separate server?
Software developers & web developers for hire
Adopting a2a-python is usually one piece of a larger software development effort. As a software development agency, DEV.co provides software development services and web development expertise — pairing senior software developers and web developers with your team to design, build, and operate ai frameworks software in production.
Ready to Build Protocol-Compliant Agents?
The A2A Python SDK is production-ready and actively maintained. Start with the helloworld example or review the migration guide if upgrading from v0.3.