Agno Review

Agno calls itself a framework and runtime for agent platforms: build agents with the SDK, run them as a service through the AgentOS runtime, and manage everything in the AgentOS UI. The docs say agents can reach users inside your own product through the REST API, inside AI apps like Claude and ChatGPT through the MCP server, and in chat apps such as Slack, WhatsApp, and Telegram through Interfaces. The SDK can also host agents built with other frameworks, including the Claude Agent SDK and the Codex SDK. The README stresses owning your agent stack: control of data, memory, and security posture through JWT-based role-based access, and a loop of simulations and usage data. Agno sends one telemetry event per agent run to learn which model providers to prioritize; prompts, messages, and outputs are never sent, and you disable it with AGNO_TELEMETRY=false. The documentation lists separate pages for storage, evaluation, observability, and security, which we did not read.

The README's get-started path is unusual: it hands you a prompt to give a coding agent (Claude Code, Cursor, or Codex) that clones the agentos-railway starter template, reads its README, and sets up the platform locally with Docker, giving you a REST API, a Postgres database for data and traces, an MCP server, and a control plane. Starter templates exist for Docker, AWS, GCP, Azure, Fly, Render, Modal, and others, differing only in deploy scripts. You can also code by hand with the SDK, and the docs are available as an MCP server or an llms-full.txt file for your coding agent. We did not run it.

Developers write Python agents, then operate them from the AgentOS UI (the control plane) to monitor runs and inspect sessions. The README is geared toward people who work with coding agents. We cannot judge the UI beyond the descriptions.

• Python SDK for building agents
• AgentOS runtime with REST API and MCP server
• Control plane UI to monitor runs and inspect sessions
• JWT-based RBAC
• Interfaces for Slack, WhatsApp, and Telegram
• Starter templates for many deploy targets
• Opt-out telemetry that excludes prompts and outputs

• Treats deployment and operations as first-class, not just agent logic
• Works with other agent SDKs
• Open source with a strong following, about 42,800 stars
• Permissive Apache-2.0 license

• Agno's pricing for the control plane is not stated on the pages we read
• Telemetry is on by default (opt-out), though prompts and outputs are excluded
• The agent-driven setup flow assumes you use a coding agent
• A platform-scale framework is overkill for a single simple agent

The SDK is free under Apache-2.0. The docs link to a hosted control plane at os.agno.com but do not state whether or what it costs, so check the website before relying on it.

LangSmith is a hosted observability and evaluation product tied to the LangChain ecosystem. Agno is a framework plus runtime plus control plane for building and serving agents, with observability as one part. They overlap in monitoring runs, but Agno is also where your agents execute.

• Teams building multi-agent products that need a deployable runtime
• Developers who want REST and MCP access to their agents
• Organizations that want to keep agent data under their own control

• Quick one-off scripts
• Teams that want a managed, no-code agent builder
• Anyone who needs published control plane pricing up front