# Agno v3.1.10: what's new, verdict & setup Canonical: https://theagenticweekly.com/tools/agno · Released: 2026-10-23 · Last verified: 2026-10-25 · Evidence: Tested (smoke test, 2026-10-25, local 3B model (Qwen2.5-3B)) · Vendor: Agno · Official site: https://www.agno.com/ > Open-source agent framework that now sells a self-driving agent platform you run in your own cloud. ## Verdict **Open-source agent framework that now sells a self-driving agent platform you run in your own cloud.** Good for: - Teams that want to run agents in their own cloud Skip if: - You need a no-code builder Tested. Tested 2026-10-25 (America/Chicago). Agno 3.1.10 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 1.8 s. Test environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key. Agent tools were pointed at a local open-weight model (Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11), so we tested the tool, not any vendor's hosted models. Not tested: Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark. These are smoke tests, not a benchmark. Full log: /tests/agno. Test scope: - Kind and date: smoke test, 2026-10-25 (America/Chicago). Not a benchmark. - What we ran: Agno 3.1.10 passed our one-tool task on a local 3B model: 3 of 3 trials; cold uv install 1.8 s. - Model used: Qwen2.5-3B-Instruct (Q4_K_M) through Ollama 0.40.11 - Environment: Linux x86_64 virtual machine (Debian 13), 8 vCPU, 15 GiB RAM, no GPU; no vendor account, login or API key - Not tested: Any vendor-hosted model: everything ran on a local 3B model, so tool-call reliability with frontier models is not measured here; Multi-agent flows, memory, long conversations, streaming, tracing and cloud deployment; Anything beyond one tool and one question; three trials is a smoke test, not a benchmark. Full test log (commands, versions, raw output): [Agno 3.1.10: our test log](https://theagenticweekly.com/tests/agno) Pricing: Partly verified. No pricing page read. (checked 2026-10-25) ## Best for - [Best AI tool for agent building](https://theagenticweekly.com/best/agent-building) (#-): Python agent framework and self-hosted agent platform. ## Key facts Agno's site describes an agent platform that runs in your cloud so you can build, deploy and improve customer-facing and internal agents. The repository is Apache-2.0; v3.1.10 was tagged Oct 23, 2026. - License: Apache-2.0 (per GitHub) - Platforms: Python; runs in your cloud - Pricing model: Open source + platform - Free tier: Open-source framework free - Paid plans: Platform pricing not read - GitHub: agno-agi/agno: 42,890 stars on 2026-10-25, last push 2026-10-25 - Latest release we saw: v3.1.10, 2026-10-23 - How to start: Install agno from pip and follow the docs; the platform needs sign-up via agno.com. - v3.1.10 (2026-10-23): the newest release listed on the official page or repository when we read it on 2026-10-25. ## How to set it up: Get started with Agno These steps come from the vendor's own pages as read on 2026-10-25. We ran Agno on 2026-10-25; the test log lists what was and was not covered. 1. **Get access.** Install agno from pip and follow the docs; the platform needs sign-up via agno.com. 2. **Check the limits and costs first.** Open-source framework free. Paid: Platform pricing not read. No pricing page read. ## Pros and cons Pros: - Apache-2.0 - Frequent releases Cons: - Platform pricing not read - Our test was one small task on a local 3B model; it does not show behaviour with hosted models or larger jobs ## Alternatives - [CrewAI](https://theagenticweekly.com/tools/crewai): Python framework for orchestrating role-playing, autonomous AI agents that work as a crew. - [LangGraph](https://theagenticweekly.com/tools/langgraph): Low-level framework for building long-running, stateful agents as graphs. - [Pydantic AI](https://theagenticweekly.com/tools/pydantic-ai): Python agent framework built on Pydantic types, covering agents, realtime voice, image generation and embeddings. - [Langflow](https://theagenticweekly.com/tools/langflow): MIT-licensed visual builder for AI agents and MCP servers with a very large GitHub following. - [Botpress](https://theagenticweekly.com/tools/botpress): Customer-support AI agent platform with a free plan and conversation-based paid plans. - [Gumloop](https://theagenticweekly.com/tools/gumloop): Agent builder for teams; plans start at $37 per month with 20k included credits. - [Lindy](https://theagenticweekly.com/tools/lindy): AI 'employee' builder that connects to your tools; Free plan with $50 in credits that last 7 days, then credit-based plans. - [Microsoft Copilot Studio](https://theagenticweekly.com/tools/copilot-studio): Microsoft's platform for creating and managing custom agents, workflows and apps with no code. - [Relevance AI](https://theagenticweekly.com/tools/relevance-ai): Platform for specialist AI agents for sales, customer success, marketing and HR, with an embedded deployment team. - [Voiceflow](https://theagenticweekly.com/tools/voiceflow): Platform for chat and voice AI agents for customer experience teams. - [Vercel AI SDK](https://theagenticweekly.com/tools/vercel-ai-sdk): Vercel's TypeScript SDK that gives one API across many model providers, with streaming and agent helpers. - [Claude Code](https://theagenticweekly.com/tools/claude-code): Anthropic's agentic coding tool for your terminal, IDE and GitHub. ## FAQ ### What is Agno? Agno's site describes an agent platform that runs in your cloud so you can build, deploy and improve customer-facing and internal agents. The repository is Apache-2.0; v3.1.10 was tagged Oct 23, 2026. ### Is Agno free? Open-source framework free. Paid: Platform pricing not read. No pricing page read. Checked 2026-10-25; prices change, so confirm on the vendor's page. ### What license is Agno under? Its license: Apache-2.0 (per GitHub). Read from the project's own pages on 2026-10-25. ## What we have not verified - Platform pricing ## Sources - [Agno](https://www.agno.com/) (fetched 2026-10-25) - [Agno repository (GitHub)](https://github.com/agno-agi/agno) (fetched 2026-10-25) ## How to cite Agentic Weekly, "Agno v3.1.10: what's new, verdict & setup", last updated 2026-10-25, https://theagenticweekly.com/tools/agno Keep the Reported or Tested label when you quote the verdict.