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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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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Claim this listing for $29Key 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
Current pricing details are not available from the vendor source.
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
Limitations
No verified limitations are available.
Frequently Asked Questions
No verified FAQs are available.
Getting Started
- 1 Step 1: Visit agno.com and click 'TRY AGENTOS' or 'Get Started' to begin with AgentOS.
- 2 Step 2: Read the Docs and connect your cloud environment and model providers (BYOC: AWS, GCP, Railway or airgapped deployments).
- 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.
Contact support or sales via [email protected].
newsletter
Monthly newsletter signup available on the site.
API
Docs page linked from agno.com (API reference and OpenAPI/SSE support described on site).
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