Agno
Build multi-modal agents in plain Python: text, image, audio, and video inputs handled natively. Agno's tool library and memory system handle the infrastructure.
The verdict on Agno: Python developers building agents that need to reason over images, audio, and video, not just text Agno's real differentiator is multi-modal by default. Pricing: Open source / Free (AgentOS).
Best For
Python developers building agents that need to reason over images, audio, and video, not just text
Standout Feature
Multi-modal by default, no special handling required for non-text inputs, unlike most agent frameworks
TL;DR
A genuinely readable, Pythonic way to build multi-modal agents, there's no TypeScript SDK if that's your stack.
Alternatives
Fit Score: use-case reference
How this is scoredAgno scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
A Python developer building agents that need to reason natively over images, audio, and video, not just text
4.2/5- Capability
- 5/5
- Reliability
- 4/5
- Value
- 5/5
- Ease
- 4/5
- Compatibility
- 3/5
Agno routes image, audio, and video inputs natively through the same Python class structure used for text, which the tool's own take calls the real differentiator over frameworks that treat non-text inputs as bolt-ons.
A TypeScript team that needs an SDK in that language
1.8/5- Capability
- 1/5
- Reliability
- 3/5
- Value
- 3/5
- Ease
- 1/5
- Compatibility
- 1/5
The tool's own take is unambiguous that the constraint is Python only, and if your team works in TypeScript, there's no SDK here, and no workaround that changes that.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Agno (formerly phidata) is a Python framework for building multi-modal AI agents that can reason over text, images, audio, and video with native tool use and memory. Agents are defined in plain Python classes, no DSL, no YAML, and Agno handles the inference routing, tool execution loop, and session state. Ships with 30+ built-in tools (web search, database queries, file operations) and pluggable memory backends.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Multi-modal by default: no special handling for image or audio inputs
- • Pythonic API makes agents readable to anyone who knows Python
- • Built-in tool library means less boilerplate for common tasks
- • Python-only: no TypeScript SDK unlike some competitors
- • Cloud observability platform is still early-stage
- • Less community content than LangChain or CrewAI at the same maturity
Key Features
- Multi-modal agents with native text, image, audio, and video reasoning
- Plain Python class definitions, no framework-specific DSL
- 30+ built-in tools: web search, SQL, file ops, APIs
- Pluggable memory backends including PostgreSQL, MongoDB, and SQLite
- Agent Teams for orchestrating multiple specialized sub-agents
- Structured output support via Pydantic models
Trust & Data
Verified 2026-09
- Training on your data
- Not publishedAgno is primarily an open-source agent framework plus a self-hosted runtime that explicitly runs in the customer's own cloud with no data leaving it, so there is no traditional vendor-published privacy policy governing customer data; its privacy page returns a 404. The only privacy-adjacent document found is telemetry documentation covering anonymous SDK usage metrics, which states no prompts, responses, user data, or API keys are ever collected, and can be disabled via an environment variable. This is a fundamentally different kind of disclosure than a SaaS vendor's privacy or DPA page, so not-published reflects the absence of a real privacy policy rather than a gap in an otherwise complete one.
- Compliance
- Not published
- Retention
- Not published
- Export
- Not published
Sources: docs.agno.com, agno.com
As published by the vendor. Verify independently before purchase decisions.
Our Take
Most agent frameworks treat image, audio, and video inputs as bolt-ons requiring special handling. Agno routes them natively through the same Python class structure you'd use for text, which matters for developers building agents that need to reason over mixed input types without writing custom middleware. The Pythonic API is genuinely readable, and the open-source core gives full control over deployment. The constraint is clear: Python only. If your team works in TypeScript, there's no SDK here, and no workaround that changes that.