Agno

Agno (the artist formerly known as Phidata) is a Python framework for building agents that actually remember what they've done. Where LangChain gives you chains and LlamaIndex gives you retrieval, Agno gives you structured sessions, persistent memory stores, and a batteries-included runtime for production deployments. I've used it to build a support agent that triages GitHub issues across three repos. The memory layer is the standout feature: agents can recall previous conversations, decisions, and context without you manually stuffing everything into prompts. Sessions persist to Postgres or Redis, so an agent picking up a conversation three days later knows exactly where it left off. This isn't magic, it's just good state management, but most frameworks make you build it yourself. The tool integration is cleaner than LangChain's. You decorate Python functions with @tool and the agent gets a schema automatically. I wired up Jira, Slack, and a custom API in about an hour. The reasoning loop is transparent: you can see which tools the agent considered, why it picked one, and what it learned. Debugging is less painful than with black-box systems. Multi-agent orchestration is where Agno wants to shine. You can spin up specialist agents (one for research, one for code review, one for writing) and have them collaborate. In practice, this works well for bounded tasks but falls apart when agents need to negotiate ambiguous handoffs. I've had better luck keeping one smart agent with a broad toolkit than coordinating three narrow ones. Failure modes: the framework assumes you're comfortable with async Python and database schemas. If you're prototyping in a notebook, the session management feels heavy. The docs are improving but still lean on examples over API references. And because it's open-source with a small team, you're sometimes reading source code to understand behaviour. Compared to AutoGPT or BabyAGI, Agno is far more production-ready. Compared to LangGraph, it's less flexible but faster to ship. If you need an agent that remembers context across sessions and you're already in the Python ecosystem, Agno is the pragmatic choice. If you want maximum control over every decision loop, LangGraph or raw API calls will serve you better.