Is Phidata (Agno) worth it for production multi-agent systems?

Yes, if you need a production-grade framework with built-in governance (RBAC, HITL, audit logs) and the ability to run on your own cloud. The open-source framework is free for local development, and Pro at $150/mo is reasonable for teams with one live connection. However, if you need custom graph-based workflows, LangGraph may be a better fit.

Does Phidata (Agno) integrate with OpenAI?

Yes, Agno provides a first-party integration with OpenAI, allowing you to use GPT-4, GPT-4.1, and other OpenAI models through a unified API. You can switch between model providers without changing your agent code.

How does Phidata (Agno) compare to LangGraph?

Agno is simpler to set up and use, with less boilerplate and better async support. It's designed for production with built-in governance (RBAC, HITL, audit logs) and a stateless runtime for horizontal scaling. LangGraph offers more flexibility for custom graph-based workflows and state machines, but requires more manual infrastructure.

What's the cheapest Phidata (Agno) tier?

The cheapest tier is Free, which includes the open-source framework and local AgentOS Control Plane for development. For production, the Pro plan is $150/mo with 1 live connection and 4 seats. Additional seats cost $30/mo each and extra live connections cost $95/mo each.

What are Phidata (Agno)'s biggest limitations?

The Free plan is local-only; you need Pro ($150/mo) for a live connection. Pro only includes 1 live connection and 4 seats—extra seats ($30/mo) and connections ($95/mo) add up. There's no fully managed SaaS option; you must run AgentOS on your own cloud infrastructure, incurring separate compute costs.

Can Phidata (Agno) replace CrewAI?

It can for most use cases. Agno offers a more production-ready framework with built-in governance, persistent memory, and better async support. CrewAI is simpler for quick prototypes, but Agno scales better and provides audit trails. If you need CrewAI's specific hierarchical process, migration may require some rework.

How long does Phidata (Agno) take to set up?

An individual developer can get a local agent running in under 30 minutes by following the 'Build Your First Agent' tutorial. Deploying AgentOS on your cloud infrastructure (AWS/GCP) for production takes a few hours, including configuring RBAC and storage.

How do I migrate from LangGraph to Phidata (Agno)?

Export your agent definitions and state logic from LangGraph, then reimplement using Agno's unified API. Agno's framework is more intuitive and requires less boilerplate. You can also keep your existing model provider connections, as Agno supports 30+ providers including OpenAI, Anthropic, and Google Gemini.

Is Phidata (Agno) good for in-product AI copilots?

Yes, Phidata is well-suited for building in-product AI copilots. Its AgentOS runtime provides per-session isolation, JWT-based RBAC, and audit logs out of the box, so you can embed agents directly in your product while maintaining governance and security. The web console offers monitoring and session tracing.

Does Phidata (Agno) have a free trial?

Yes, the Free tier lets you build and run multi-agent systems locally using the open-source framework and AgentOS Control Plane. For a production trial, you can deploy AgentOS on your cloud and use the Free tier's local-only features to evaluate. The Pro plan has no free trial but offers a month-to-month subscription.

Phidata

Freemium

Build and run production-grade multi-agent systems on your own cloud.

By Tanmay Verma, Founder · Last verified 28 Jun 2026

3.7k views

Added 5/25/2026

95/100Safe Bet

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In short

Phidata — Build and run production-grade multi-agent systems on your own cloud. Best for Teams building production-grade multi-agent systems, Developers wanting an intuitive framework with minimal boilerplate, Companies needing governance, RBAC, and audit logs for agent actions. Free to start; paid plans from $150/mo.

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Editorial Verdict

Best for

Teams building production-grade multi-agent systemsDevelopers wanting an intuitive framework with minimal boilerplateCompanies needing governance, RBAC, and audit logs for agent actionsProjects requiring persistent memory and knowledge across sessionsEngineers seeking a fast path from prototype to scalable deployment

Not ideal for

Teams needing heavy custom graph-based workflows or complex state machinesHobbyists wanting a fully free tier with no contact for pricingProjects already deeply invested in LangGraph and its ecosystemOrganizations that prefer a completely self-managed solution without a runtime

Agno is the fastest path from prototype to production for multi-agent systems. Its open-source framework is intuitive, and AgentOS handles model providers, memory, and governance out of the box. Skip LangGraph if you want less boilerplate and better async support. The Pro plan at $150/mo is reasonable for teams with one live connection, but additional seats and connections add up. Enterprise plan offers custom SSO and self-hosted control plane for security-conscious teams.

Skip Phidata if Skip Agno if you need a fully hosted, zero-infrastructure multi-agent platform, or if you're heavily invested in LangGraph's graph-based workflows and don't want to switch frameworks.

Last verified: June 2026

What's new in Phidata

Updated yesterday

Across the latest 5 updates: 4 feature updates and 1 changelog entry.

FeatureChangelog·27 days agoNewest

Run agents on four new model providers

Added first-party integrations for Inception Labs, Xiaomi MiMo, MiniMax, and Cloudflare AI Gateway.

FeatureChangelog·27 days agoNewest

Generate Word documents straight from your agents

Agno now supports DOCX file generation as agent output.

FeatureChangelog·27 days agoNewest

Search the web through You.com

New YouTools toolkit wires You.com Search API into agents via Agno toolkit interface.

ChangelogChangelog·May 21

Honor temperature=0 on Claude for deterministic output

Fixed issue where setting temperature=0 was silently dropped on Claude models; now produces deterministic output.

FeatureChangelog·May 20

Managed Deep Research and Antigravity

Added support for Google's managed Deep Research and Antigravity agents via GeminiInteractions.

Viability Score

95/100

Safe Bet

How likely is Phidata to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.

momentum

100

funding runway

website health

wrapper dependency

100

Last calculated: June 2026

How we score →

Key Features

Open-source Python framework for multi-agent systems
Unified API across 30+ model providers
AgentOS runtime with 50+ endpoints
Per-session isolation and JWT-based RBAC
Approval flows (HITL) and audit logs
Session and trace monitoring via web console
Memory manager and knowledge manager
Stateless runtime for horizontal scaling
Streaming, background execution, and resume
Unified sync/async API
Guardrails and post-execution hooks
Tracing exportable to external tools
Private-by-default deployment on your own cloud
Multimodal Gemini file search (v2.6.5)
Gmail/Calendar context providers

About Phidata

FreemiumIntermediateAPI availableAPI · CLI · Desktop · Web

Agno (formerly Phidata) is an open-source Python framework and high-performance runtime for building, deploying, and managing multi-agent systems. Designed for teams moving from prototype to production, Agno provides a unified API across 30+ model providers, an AgentOS runtime with 50+ endpoints for persistence, memory, knowledge, and tracing, plus a web console for monitoring. Key features include per-session isolation, JWT-based RBAC, approval flows (HITL), audit logs, and a stateless architecture for horizontal scaling. Unlike LangGraph or CrewAI, Agno is engineered for production with built-in governance and private-by-default deployment on your own cloud. The latest v2.6.10 adds integrations for Inception Labs, Xiaomi MiMo, MiniMax, and Cloudflare AI Gateway, plus You.com search and DOCX generation.

Behind the Verdict

Agno (formerly Phidata) stands out in the multi-agent framework space by prioritizing production readiness over research flexibility. Its AgentOS runtime provides a unified API across 30+ model providers, persistent memory, knowledge management, and built-in governance (RBAC, HITL approval flows, audit logs). The stateless architecture supports horizontal scaling, and everything runs in your own cloud—no data ever leaves your infrastructure. Strengths: The framework is intuitive for Python developers, with minimal boilerplate compared to LangGraph or CrewAI. The AgentOS web console gives you real-time monitoring, session tracing, and knowledge management. Recent updates (v2.6.10) added integrations for Inception Labs, Xiaomi MiMo, MiniMax, and Cloudflare AI Gateway, plus You.com search and DOCX generation. Weaknesses: The Free plan is limited to local development only. Pro plan at $150/mo includes only 1 live connection and 4 seats—additional seats cost $30/mo and extra connections $95/mo, which can add up. There's no fully managed SaaS option; you must run AgentOS on your own cloud infrastructure (AWS, GCP, etc.), so you're responsible for those costs and maintenance. Enterprise pricing is custom and requires a sales call. Where it fits: Teams building production-grade multi-agent systems that need governance, persistent memory, and the ability to run on their own cloud. It's especially good for in-product copilots, data labeling pipelines, and document processing workflows. Where it doesn't: Hobbyists or small projects that need a fully free hosted tier. Organizations deeply invested in LangGraph's graph-based workflows may find the transition unnecessary.

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Real-world workflow fit

Concrete scenarios for the personas Phidata actually fits — and what changes day-one when you adopt it.

Developer evaluating Agno

Clone the open-source repo, install via pip, and run the 'Build Your First Agent' tutorial in Python.

Outcome: A working multi-agent system running locally with persistent memory and session tracing in under 30 minutes.

Product team building a copilot

Deploy AgentOS on AWS using the provided Terraform templates, connect your agents, and use the web console to monitor sessions.

Outcome: An in-product AI copilot with RBAC, audit logs, and human-in-the-loop approval flows running in your own cloud.

Data science team automating document processing

Set up a multi-agent workflow that extracts text from PDFs, classifies content, and generates summaries with guardrails.

Outcome: Automated document pipeline with knowledge management and traceable execution, ready for production within a day.

Use Cases

Build in-product AI copilots and chat interfaces that run on your own infrastructure.
Label text, image, audio, and video data using multi-modal agents.
Generate synthetic data and preference pairs for training and evaluations.
Automate document processing, knowledge organization, and weekly reports.
Create Slack-native agents that handle workspace tasks with human oversight.
Deploy multi-agent investment teams for financial analysis and portfolio management.

Models Under the Hood

GPT-4GPT-4.1Claude OpusClaude SonnetGemini 2.5 ProGemini 2.5 FlashMistral LargeLlama 3.3 70BDeepSeek V4Inception Labs models

Limitations

The Free plan only supports local development via the AgentOS Control Plane.
The Pro plan is limited to 1 live connection and 4 seats, with additional seats costing $30/mo and additional connections $95/mo.
Enterprise plans require contacting sales.
The platform runs in your own cloud, so you are responsible for infrastructure costs and maintenance beyond what AgentOS provides.
No fully managed SaaS option exists.

12-month cost

Project the real annual outlay, including the implied monthly cost when only an annual tier is published.

Plan

Annual total

Free

Over 12 months

Effective monthly

Free

Billed monthly

Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.

Plans compared

For each published Phidata tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.

Free

$0/mo

Ideal for

Developers and hobbyists exploring multi-agent frameworks locally with no production needs.

What this tier adds

Free entry point; local AgentOS Control Plane, no live connections, community support.

Pro

$150/mo

Ideal for

Small teams running a single production agent system with up to 4 developers and one live connection.

What this tier adds

Adds 1 live connection and 4 seats with unlimited usage, monitoring, retention, knowledge, and memories.

Enterprise

Custom

Ideal for

Large organizations needing custom SSO, self-hosted control plane, dedicated support, and custom agent solutions.

What this tier adds

Adds dedicated Slack channel, technical lead, support SLA, custom SSO/RBAC, custom agent solutions, and self-hosted Control Plane.

Integrations

OpenAIAnthropicGoogle GeminiMistral Groq Together AIAWS BedrockAzure AIInception LabsXiaomi MiMoMiniMaxCloudflare AI GatewayGmailGoogle CalendarSlack

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

Going past the 4 seats on Pro adds $30/mo per extra seat, so teams larger than 4 pay more than the base plan suggests.
Additional live connections beyond the one included on Pro cost $95/mo each, making multi-environment setups expensive.
You must run AgentOS on your own cloud infrastructure, so you pay for compute, storage, and networking separate from the Agno subscription.
Enterprise plans require booking a sales call, and pricing is custom—no published starting point.

Where the pricing makes sense

The company stage and team size where Phidata's pricing actually pencils out — and where peers do it cheaper.

At $150/mo for Pro, Agno is cheaper than many SaaS agent platforms but requires you to run your own cloud infrastructure. For small teams with one live connection and up to 4 seats, it's cost-effective. Larger teams will see costs rise with seat and connection add-ons. The Free tier is solid for local development and evaluation.

Setup time & first value

How long it actually takes to get something useful out of Phidata — broken out by persona, not the marketing-page minute.

For individuals: clone the repo, install dependencies, and run the first agent in under 30 minutes. For production deployment on AgentOS: plan a few hours to set up cloud infrastructure (AWS/GCP) and configure RBAC and storage. Most teams are productive by the end of day one.

Switching to or from Phidata

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in

→From LangGraph: export your agent definitions and state logic, then reimplement using Agno's unified API—expect a cleaner codebase with less boilerplate.
→From CrewAI: rewrite crew and task definitions as Agno agents and teams; Agno's async support and persistent memory are direct upgrades.

Migrating out

↗To LangGraph: export traces and memory from AgentOS database, then reimplement custom graph logic if you need fine-grained state machines.
↗To a custom solution: use the open-source framework, extract your agent logic, and build a bespoke runtime—Agno's code is available for modification.

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Phidata

Freemium

Build and run production-grade multi-agent systems on your own cloud.

By Tanmay Verma, Founder · Last verified 28 Jun 2026

3.7k views

Added 5/25/2026

95/100Safe Bet

Visit Website

In short