Agno pricing guide details
Pricing Overview
Phidata (now rebranded as Agno) is a fully open-source AI agent framework released under the Apache 2.0 license. The framework itself costs nothing to download, install, or deploy. There are no seat-based fees, no usage caps imposed by Phidata, and no premium tiers that gate core functionality behind a paywall.
The real costs come from the infrastructure you bring: LLM API calls (OpenAI, Anthropic, Google, etc.), vector database hosting, and compute for running your agents. Runs in your own cloud AgentOS pricing is not publicly listed and requires contacting the team directly.
This model makes Phidata one of the most cost-transparent options in the AI agent space — your bill is determined entirely by the services you connect, not by Phidata itself.
Plan Comparison
| Component | Cost | What You Get | Limits |
|---|---|---|---|
| Phidata Framework | $0 | Agent building, memory, knowledge bases, guardrails, tool integration | None — full feature set |
| LLM API (e.g., OpenAI) | $0.15–$4.00 per 1M input tokens | Language model powering your agents | Per-provider rate limits |
| LLM API (e.g., Claude Sonnet) | ~$3 per 1M input tokens | Alternative model provider | Per-provider rate limits |
| Vector DB (e.g., Pinecone Starter) | — | Knowledge retrieval and RAG storage | Varies by provider and tier |
| Cloud Compute (e.g., AWS EC2 t3.medium) | ~$30/mo | Hosting your agent runtime | Standard cloud limits |
| AgentOS (Hosted Control Plane) | Contact sales | Monitoring, tracing, RBAC, JWT auth, chat UI | Enterprise negotiated |
Unlike frameworks that monetize through a managed platform, Phidata keeps the framework fully open while offering AgentOS as an optional paid layer for teams that want built-in observability without self-hosting monitoring tools.
Hidden Costs and Considerations
The $0 sticker price is genuine for the framework, but teams should budget for three cost centers that add up quickly:
- LLM API spend is the largest variable. Multi-agent workflows multiply this linearly.
- Vector database costs scale with data volume.
- AgentOS pricing is opaque. Without published rates, teams cannot pre-budget for the hosted control plane. This is a friction point for organizations that need cost approval before procurement.
One advantage: because you own the infrastructure, there is no vendor lock-in penalty for leaving. Migration costs are limited to rewriting agent orchestration code.
Cost Estimates by Team Size
| Scenario | Framework | LLM API (est.) | Infrastructure | Monthly Total |
|---|---|---|---|---|
| Solo developer (prototyping) | $0 | Per token, set by the model provider | $0 (local) | LLM API usage only |
| Small team (5 engineers, staging) | $0 | — | — | — |
| Mid-size team (20 engineers, production) | $0 | — | — | — |
These estimates assume moderate agent usage without AgentOS. Adding AgentOS would increase costs, but without published pricing, that component cannot be estimated here.
How Phidata Pricing Compares
Among AI agent frameworks, the pricing landscape splits into two camps: fully open-source tools and those with paid managed tiers.
| Framework | Model | Framework Cost | Managed Platform |
|---|---|---|---|
| Phidata | Open Source | $0 | AgentOS (contact sales) |
| LangChain | Freemium | $0 (framework) | LangSmith from $0 (Developer) to $39/seat (Plus) |
| CrewAI | Open Source | $0 | CrewAI Enterprise (contact sales) |
| AutoGen | Open Source | $0 | None (self-hosted only) |
LangChain's LangSmith platform charges $39 per seat for its Plus tier, making it the most transparent paid option for agent observability. Phidata's AgentOS competes directly with LangSmith but lacks published pricing, which puts it at a disadvantage for teams comparing costs upfront. AutoGen remains the leanest option with no managed offering at all — ideal for teams comfortable running everything themselves.
For teams that want a production-ready agent framework at zero licensing cost, Phidata delivers. The key decision is whether to self-host monitoring (free but requires DevOps effort) or pay for AgentOS (convenient but opaque pricing).