Govern every agent your teams ship — without picking sides.
Your data science team wants LangGraph. The applied team picked PydanticAI. A vendor's SDK ships with CrewAI. You need one deployment story, one auth model, one cost ledger, one audit trail. FastAgentic is that story.
One runtime, every framework
Same auth middleware, same cost tracker, same OpenTelemetry pipeline, same MCP surface — regardless of which agent framework sits underneath. Teams ship fast; you keep guarantees consistent.
Multi-tenancy and governance
- Per-tenant budgets with hard cut-offs — no more surprise $40k OpenAI invoices.
- Scope-based RBAC — integrates with existing OAuth2 providers.
- PII detection + masking — built in, not bolted on.
- Immutable audit trail — every decision your agents make is reconstructible.
Deployment targets
- Docker / Kubernetes (manifests included in docs).
- Serverless (Lambda, Cloud Run) with S3-backed checkpoints.
- CapRover, Render, Fly.io — anywhere an ASGI app runs.
Observability stack
OpenTelemetry out of the box, native integrations for Langfuse, Portkey, Datadog. Structured JSON logs with full request context, tail-sampled traces, and per-step cost attribution.
Rolling out a multi-team agent platform?
Neul Labs — the team behind FastAgentic — takes on a limited number of consulting engagements each quarter. We help teams ship agents to production, fix broken LangGraph pipelines, and design governance for multi-tenant LLM platforms.