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Agno

Open-source Python framework and agent runtime, formerly Phidata, that lets developers build agents, teams of agents, and workflows and run them in their own cloud.

8.0/10
Overall Score
Recommend

Agno keeps agents in plain Python, runs in a customer's own cloud with no usage metering, and has about 42,900 GitHub stars.

Best for

Python developers and platform teams that want an open-source multi-agent framework they can host themselves, with a control plane for traces, memory, and evaluations.

Not ideal for

Non-technical teams that want a hosted no-code agent builder, or buyers who want the vendor to run the compute.

Verdict

Agno is an open-source company whose Python framework lets developers build agents and teams of agents and run them in their own cloud. It suits engineering teams that want control over data and compute with a lightweight framework. Its large developer following makes it one of the more widely used open-source agent frameworks.

Score Breakdown

How Agno scores in the categories that matter to its buyers.

Buyer outcomes

Framework speed and simplicity
8.7
Runs in your own cloud
8.8
Open-source community
8.5
Managed hosting
6.4

Company & commercial

Innovation & product leadership
8.2
Project management & communication
7.6
Pricing
8.1
Contract fairness
8.0

Pricing

Agno's framework is free and open source. Its control plane has a free tier, a published Pro price, and custom Enterprise terms, with no usage, storage, or retention fees.

PlanPriceWhat stands out
Free$0 / monthLocal control plane, unlimited usage and retention
Pro$150 / month1 live AgentOS connection, 3 seats, basic role-based access
Pro add-ons$30 / seat; $95 / live connection; $300 for SAML SSOMonthly
EnterpriseCustomAudit logs, custom roles, SLA, self-hosted control plane

The Field at a Glance

How Agno compares with other multi-agent and swarm tooling vendors we reviewed, by Overall Score and relative typical engagement cost.

6 7 8 9 Overall Score $ $$ $$$ $$$$ Relative typical engagement cost LlamaIndex Dify deepset CrewAI Agno 8.0
Agno LlamaIndex Dify deepset CrewAI

Agno scores 8.0 in multi-agent and swarm tooling, under LlamaIndex (8.1), and ahead of Dify (7.5), deepset (7.1), and CrewAI (6.9). Relative cost lands lower for this subcategory.

Use-case matrix

Use caseFitNotes
Pure Python agentsStrongNo graphs or chains to learn.
Self-hostingStrongRuns in the customer's cloud.
Multi-agent teamsStrongAgents, teams, and workflows.
ObservabilityStrongTraces, metrics, and evaluations in the control plane.
Managed computeWeakCustomers run their own infrastructure.
No-code buildingMixedStudio exists, but the tool is code-first.

Who it’s for

Good fit

  • Python developers
  • Platform teams hosting agents
  • Companies keeping data in their own cloud

Poor fit

  • Non-technical builders
  • Teams wanting vendor-hosted compute
  • Buyers wanting one fully managed product

Review Excerpts

Below are excerpts from public reviews. Our team scoured public reviews, forums, and chat rooms to get a balanced view of customers' experience with this company. Paid reviews and pay-for-play sites such as Clutch were excluded.

How it's used

“We can start an idea at the beginning of the week and have it into production by the end of the week with evals in place.”

Bogdan Rau, Founder and CEO of Thinqpoint, company testimonial published by Agno · Agno pricing
What people like

“The documentation was just so well done. It was some of the best documentation I've ever seen in a piece of tech.”

Darren Haligas, VP of Engineering at KeyData, company testimonial published by Agno · Agno pricing
What people don't like

Agno's free tier runs the control plane locally only, and a live AgentOS connection needs Pro at $150 a month for three seats, with $30 per extra seat and $300 a month for SAML SSO.

Product fact · Agno pricing

Company Facts

Previous name
Phidata, renamed Agno in January 2025 (Agno)
License
Apache-2.0 open source (GitHub)
GitHub stars
About 42,900 (GitHub)
Founder
Ashpreet Bedi (CEO) (Agno)
Website
agno.com

Key Leadership

Ashpreet Bedi

Ashpreet Bedi

Founder and CEO

Methodology

This page is an independent evaluation of Agno for buyers comparing options in multi-agent and swarm tooling. AI Industry Reviews accepts no sponsorships, advertising, or pay-for-placement fees. Agno did not pay for this review.

What we scored

The headline number is an Overall Score on a 0-10 scale. Eight criteria sit under it in two groups.

  • Buyer outcomes (for multi-agent and swarm tooling)
    • Framework speed and simplicity
    • Runs in your own cloud
    • Open-source community
    • Managed hosting
  • Company & commercial
    • Innovation & product leadership
    • Project management & communication
    • Pricing
    • Contract fairness

Pricing measures whether the price looks fair for the value delivered, including packaging and renewal friction that show up in real buying cycles.

Score Composition

InputWeightWhat it covers
Reviews40%A proprietary read of what practitioners say about likes, complaints, and day-to-day use, including public review sites, forums, and private chat rooms. Paid reviews and pay-for-play sites such as Clutch are out of scope.
Product35%Hands-on look at screens and workflows.
Pricing15%Whether the price looks fair for what you get.
Docs & training10%Docs, tutorials, and training material.

How we balanced the evidence

The Overall Score is the simple average of the eight criteria. Recommendation language follows that score and the fit pattern described above.

Scope

Agno is graded here as multi-agent and swarm tooling. Criteria scores can move as more review volume and product checks are added.

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