FastAgentic¶
Build agents with anything. Ship them with FastAgentic.
FastAgentic is the deployment layer for agentic applications. It transforms agents built with PydanticAI, LangChain, LangGraph, or CrewAI into production-ready services.
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Get Started
Install FastAgentic and deploy your first agent in minutes
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Adapters
Connect your favorite agent framework - PydanticAI, LangGraph, CrewAI, LangChain
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Protocols
Native support for MCP and A2A protocols
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Production Ready
Built-in reliability, observability, and security
Quick Links¶
| I want to... | Go to... |
|---|---|
| Get started quickly | Getting Started |
| Understand what FastAgentic does | Why FastAgentic? |
| Choose an adapter for my framework | Choosing an Adapter |
| Test my agent interactively | Agent CLI |
| Deploy to production | Operations Guide |
Installation¶
Quick Example¶
from fastagentic import App, tool, resource
app = App(name="my-agent")
@app.tool()
def greet(name: str) -> str:
"""Greet a user by name."""
return f"Hello, {name}!"
@app.resource("config://app")
def get_config() -> dict:
"""Get application configuration."""
return {"version": "1.0", "env": "production"}
Run your agent:
Core Features¶
Framework Adapters¶
Connect agents from any framework with zero code changes.
- PydanticAI - Type-safe agents
- LangGraph - Stateful workflows
- CrewAI - Multi-agent teams
- LangChain - Chains & runnables
Governance & Policy¶
Enterprise-grade security and compliance.
- RBAC & Scopes - Fine-grained access control
- PII Detection - Automatic data protection
- Audit Logging - Complete audit trail
Observability¶
Full visibility into your agent operations.
Reliability¶
Production-grade resilience patterns.
- Retry & Circuit Breaker - Automatic recovery
- Checkpointing - Durable state
- Rate Limiting - Traffic control
Integrations¶
FastAgentic integrates with leading AI infrastructure tools:
- Langfuse - Observability & tracing
- Portkey - AI Gateway & routing
- Lakera - Security guardrails
- Mem0 - Intelligent memory
- Braintrust - Evaluation & testing
Version History¶
| Version | Highlights |
|---|---|
| v1.2 | Interactive Agent CLI for testing |
| v1.1 | New adapters (Semantic Kernel, AutoGen, LlamaIndex, DSPy), template ecosystem |
| v1.0 | Python SDK, PII detection, dashboard, production readiness |
| v0.5 | Cluster orchestration, distributed checkpointing |