agno

agno

Agno provides AgentOS, a production-grade agent platform and an open-source Python framework for building and running multi-agent systems, enabling companies to deploy private, scalable, and governed agent runtimes backed by many model providers.

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#450 in AI Agents (450 tools)
Added 0 year ago
Data reviewed Jul 15, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Agents software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

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agno

Agno delivers AgentOS, a production-ready agent platform and an open-source Python framework for building multi-agent systems. It targets engineering teams and companies that need a private, governed agent stack — providing an API and MCP server, persistence, streaming and background execution, RBAC, audit logs, approval flows, and a web console to operate systems. AgentOS supports 30+ model providers, runs in customer cloud environments (BYOC), and is designed to be horizontally scalable and stateless so it fits standard operational patterns.

Open-source library for building fast, model-agnostic AI agents with memory and tools.

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Key Features

AgentOS runtime & APIs

APIs out of the box with runs, sessions, memory, knowledge, traces available via API and 50+ endpoints including SSE and OpenAPI support.

Multi-provider model support

Any Model — 30+ providers behind one surface, working across Chat, Responses and Interactions APIs.

Durability, streaming and resume

Durability and persistence for every action with streaming, background execution and resume capabilities.

Governance & security

Built-in guardrails, HITL (human-in-the-loop) approval flows, audit logs, per-user and per-request isolation, and JWT-based RBAC.

Control plane & UI

Web console for real-time control: chat, trace, monitor, manage, memory and knowledge managers, session monitoring and evaluations.

Operational design

Stateless runtime that scales horizontally, exports tracing to external tools, and fits standard service operational patterns.

Framework & integrations

Open-source Python framework (Agentos) and compatibility with agents built using other SDKs (Claude Agent SDK, LangGraph, DSPy, or homegrown systems).

Pricing

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Use Cases

Enterprise agent platforms

Run a private, governed agent platform for production use with RBAC, audit trails, and HITL approval flows.

Multi-model orchestration

Unify 30+ model providers behind a single surface for consistent agent behavior across Chat, Responses and Interactions APIs.

Operator/control plane for agents

Use the AgentOS UI to monitor sessions, traces, memories, knowledge, and evaluate agent performance in real time.

Integrating agents into apps and messaging

Connect agents to UIs and messaging platforms (examples listed include Telegram, Slack, WhatsApp) to power interfaces and workflows.

Integrations

Model providers

Supports 30+ model providers behind a unified interface for Chat, Responses and Interactions APIs.

Agent frameworks

Runs agents built with Agno/Agentos, Claude Agent SDK, LangGraph, DSPy or homegrown systems.

Cloud providers

BYOC deployments on AWS, GCP, Railway or fully airgapped environments.

Messaging & UIs

Can connect agents to UIs and messaging platforms such as Telegram, Slack, and WhatsApp.

Benefits

Faster time to production by shipping a ready-made agent runtime and control plane instead of building infrastructure in-house.
Private by default — AgentOS runs in your cloud so usage, logs, metrics, memories and data remain in your environment.
Built-in governance and auditability with HITL approval flows, audit logs, and RBAC to manage sensitive actions.
Scales with your stack due to a stateless, horizontally scalable design and standard operational patterns.
Works with many model providers and agent frameworks, reducing vendor lock-in and integration effort.

Limitations

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Frequently Asked Questions

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Getting Started

  1. 1 Step 1: Visit agno.com and click 'TRY AGENTOS' or 'Get Started' to begin with AgentOS.
  2. 2 Step 2: Read the Docs and connect your cloud environment and model providers (BYOC: AWS, GCP, Railway or airgapped deployments).
  3. 3 Step 3: Use the provided APIs and AgentOS UI to run agents, monitor sessions, manage memory and knowledge, and configure governance controls.

Support

docs

Documentation linked from the site (Docs) for getting started, API reference, and platform details.

community

Discord community for builders; site links to Discord and Discourse.

email

Contact support or sales via [email protected].

newsletter

Monthly newsletter signup available on the site.

API

Available: Yes
Documentation:

Docs page linked from agno.com (API reference and OpenAPI/SSE support described on site).

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