Agno

Agno is the programming language for agentic software.

Build, run, and manage multi-agent systems at scale.

[Ashpreet Bedi @ashpreetbedi]

https://t.co/D0KFbDQjUd

[Agno @AgnoHQ]

https://t.co/Rp4g8d07oJ

[Priti @pritisinghhhh]

ai & women is officially underway.

so many women in one room, ready to learn, experiment and build with ai.

excited for this one.

[Agno @AgnoHQ]

https://t.co/fJvVcp55Vl

[Agno @AgnoHQ]

https://t.co/df2fl5pdsl

[Ashpreet Bedi @ashpreetbedi]

Slack is the first place I put every agent I build.

Learn how to go from zero -> slack integration in ~20 minutes.

https://t.co/naK9I052zu

[Ashpreet Bedi @ashpreetbedi]

https://t.co/Z1ByGWYAmx

[smallest.ai @smallest_AI]

Smallest AI is now in @AgnoAgi

Give any Agno agent a real voice: broadcast-quality speech via our Text-to-Speech models - Lightning v3.1 and Lightning v3.1 Pro - in three lines of code. Install @AgnoAgi and get started:

pip install agno

Get building agents that talk back!

[Ashpreet Bedi @ashpreetbedi]

https://t.co/iI7EcwAQwm

[Ashpreet Bedi @ashpreetbedi]

New 📽️: Watch me build an agent platform using only coding agents 👇

Build agents, improve them, deploy them, secure them, connect them to your AI Apps... without opening your editor

[Agno @AgnoHQ]

https://t.co/0ewJBA7mbG

[Ashpreet Bedi @ashpreetbedi]

🚨 New post: How to build an agent platform without writing a single line of code.

Companies are building their own agent platforms to own the learning loop. To retain full control over the agent's behavior, data and context. Which paves the way for reflective self improvement.

Learn how you can build your own agent platform with one prompt: https://t.co/qQZvMzuxDi

[Ashpreet Bedi @ashpreetbedi]

https://t.co/6FoOKbR0HZ

[Ashpreet Bedi @ashpreetbedi]

Agno is proudly open-source and co-signs the Open Weights and American AI Leadership letter.

Open weights, Open models, Open platforms

https://t.co/3Oyi29O8Cm

[Agno @AgnoHQ]

https://t.co/KTsheeVQ75

[Ashpreet Bedi @ashpreetbedi]

Introducing Agno AgentOS, a FastAPI application for serving agents as an API, an MCP server, and through chat apps like Slack, Telegram and WhatsApp.

AgentOS covers the valley of death between an agent definition and a live service. It gives your agents a durable runtime, multi-user security with RBAC, background execution, checkpointing, session management, tracing, evals, guardrails, and more.

In the video below, a single AgentOS is running multiple parallel streams (resumable across connection drops), serving multiple MCP clients, and handling multiple processes reading and writing the same data.

A true work of performance art, AgentOS is the perfect backend for any agentic application.

The best part: you can get your own with one prompt. Go to https://t.co/oooZJm0u42, pick your cloud, and hand the 2 line prompt to your favorite coding agent.

Free and Open Source. Enjoy!

[Ashpreet Bedi @ashpreetbedi]

Introducing Agno Environments, our first step towards RL for agents.

Today we're releasing part 1 of our most requested feature: verification and data generation. Run your agent K times, score every attempt, and export the ones that passed as a fine-tuning dataset.

Up next: fine-tune on the dataset, then re-run to measure gain.

I'm open-sourcing everything, including the first set of 70+ code examples: https://t.co/snx7UBDzPM

Agents → Environments → Fine-tuned Model → Better Agents. One step down, two more to go.

[Agno @AgnoHQ]

https://t.co/jCfQKJu7yO

[You.com @youdotcom]

In 10 days, we're hosting a hackathon full of developers looking to build agents that reason over live web data, not stale training data.

We're spending a full day at AWS Builder Loft SF with @AWScloud, @CrewAIinc, @Agnoagi, @llama_index, @replit + more. (Plus $1K+ prizes!) Stay tuned to see what they ship. 🤖

[Ashpreet Bedi @ashpreetbedi]

https://t.co/WNBHpgK0jE