fasta2a
Convert an AI Agent into a A2A server! ✨
Decision gist · record as of 2026-08-14
Yes, if you are building agent-based services and need A2A protocol compliance. The low install friction, active maintenance, MIT license, and permissive design (framework-agnostic Worker interface) make it a solid foundation. The in-memory implementations let you prototype quickly; production deployments will require custom Storage and Broker implementations. No known vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; you must implement a Worker subclass to execute tasks with your agentic framework.
- Low friction: pure Python wheel with four runtime dependencies (starlette, pydantic, opentelemetry-api, eval-type-backport).
- Active maintenance with last commit on 2026-07-27 and 214 repository stars.
License · maintenance · safety
MIT (permissive) — MIT license (permissive) allows commercial and private use with minimal restrictions—suitable for production deployment.
last release 2026-05-15 (91 days) · last repo commit 2026-07-27 · 214 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 344,073 downloads/mo, #7,378 on PyPI
Alternatives
Verify before relying
pip install fasta2a
from fasta2a import FastA2A, Worker
from fasta2a.storage import InMemoryStorage
from fasta2a.broker import InMemoryBroker
storage = InMemoryStorage()
broker = InMemoryBroker()
app = FastA2A(storage=storage, broker=broker)- Performance characteristics under high concurrency or large message volumes
- Production-readiness of in-memory storage/broker implementations vs. persistent alternatives
- Compatibility matrix with specific agentic frameworks beyond Pydantic AI
What it is and what it does
FastA2A is a framework-agnostic implementation of the A2A (Agent-to-Agent) protocol that exposes any AI agent as an ASGI web server. It coordinates three pluggable components—Storage (for tasks and conversation context), Broker (for task scheduling), and Worker (for task execution)—allowing agents to run asynchronously, potentially on different machines or processes. The library ships with in-memory implementations of Storage and Broker to lower the barrier to entry, but you provide the Worker to integrate your specific agentic framework.
The design enforces a stateful, task-based model: every incoming message creates a background task, and the server maintains conversation context across multiple tasks using a context_id. This architecture decouples the HTTP server from agent execution, enabling horizontal scaling and fault isolation. FastA2A includes a Pydantic AI integration that converts any pydantic_ai.Agent into an A2A-compatible app with a single function call.
Use it for
- Expose a Pydantic AI agent as a distributed A2A server without writing boilerplate protocol code
- Build multi-agent systems where agents communicate via the A2A protocol across network boundaries
- Run agent workloads asynchronously with task persistence and conversation history tracking
- Integrate custom agentic frameworks by implementing the Worker interface and plugging into FastA2A
- Scale agent execution by running workers on separate machines while the HTTP server remains stateless
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you are building agent-based services and need A2A protocol compliance.
The low install friction, active maintenance, MIT license, and permissive design (framework-agnostic Worker interface) make it a solid foundation. The in-memory implementations let you prototype quickly; production deployments will require custom Storage and Broker implementations. No known vulnerabilities.
Install
fasta2a on PyPI
Before you install
Low friction: pure Python wheel with four runtime dependencies (starlette, pydantic, opentelemetry-api, eval-type-backport). Active maintenance with last commit on 2026-07-27 and 214 repository stars.
Requires Python 3.9 or later; you must implement a Worker subclass to execute tasks with your agentic framework.
License in practice
MIT license (permissive) allows commercial and private use with minimal restrictions—suitable for production deployment.
Quickstart
pip install fasta2a
from fasta2a import FastA2A, Worker
from fasta2a.storage import InMemoryStorage
from fasta2a.broker import InMemoryBroker
storage = InMemoryStorage()
broker = InMemoryBroker()
app = FastA2A(storage=storage, broker=broker)Verify before relying
- Performance characteristics under high concurrency or large message volumes
- Production-readiness of in-memory storage/broker implementations vs. persistent alternatives
- Compatibility matrix with specific agentic frameworks beyond Pydantic AI
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packageseval-type-backportopentelemetry-apipydanticstarlette |
| Maintenance | Actively maintained 91 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 344,073 / month, #7,378 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 4 - BetaEnvironment :: ConsoleEnvironment :: MacOS XIntended Audience :: DevelopersIntended Audience :: Information TechnologyIntended Audience :: System AdministratorsLicense :: OSI Approved :: MIT LicenseOperating System :: POSIX :: LinuxOperating System :: UnixProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: InternetTopic :: Software Development :: Libraries :: Python Modules |
Evidence: fasta2a-0.6.1-py3-none-any.whl
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See also a2a-sdk · agent-framework-a2a · pydantic-ai · pydantic-deep · a2ui-agent-sdk · pydantic-tes · subagents-pydantic-ai · ag2 · agent-framework-durabletask · pydantic-ai-todo