Phidata

A new architecture for multi-agent systems _‍The all-in-one agent platform that runs in your cloud.Private. Secure. Built for teams who ship.TRY AGENTOSCONTACT USAgent framework Build self-learning agents with memory, knowledge, and guardrails. Any model. Any database. Your cloud.Production runtimeTurn agents into a production service. Deploy anywhere. Ship on day one, not month six.Built-in control planeChat, trace, and monitor from your browser. Your data stays in your system. No egress, no retention costs.Secure and private by defaultJWT, RBAC, and request-level isolation. Privacy and security are built into the architecture, not layered on.Tab 1Tab 2Tab 3Tab 4Mark my words. Next big startup will be built on @AgnoAgi… and it might be mine.@lebrxndxngThe hype is real. @AgnoAgi is what you've been looking for. I still can't believe it's so easy to use. So many new toys to play with.@smilingnosrati@AgnoAgi‘s framework is awesome. You can build agents, teams of agents, tools for agents, workflows and connect them to an UI, Telegram, Slack, WhatsApp… it’s just super flexible and easy to work with.@bernhard_meAfter using Langgraph for a while, tested and evaluated crewai and more, recently I'm starting new projects only with @AgnoAgi, everything just make more sense, well engineered, flexible and way way faster. You guys made an amazing job.@IdanP70Tab 1Tab 2Tab 3Tab 4I'm actually very surprised how fast it is to get @AgnoAgi agents up and running. Like literally 2 minutes.@MitchBernsteinGPT 4.1 + @AgnoAgi = TOTAL POWER! I'm in love with this pairing!@LamarDealMakerThis video was completely generated with a single prompt. Coming soon to SlideShots!! Thanks to @AgnoAgi@JollyTanpreetI have been using @AgnoAgi for a while now and can attest it is so much easier to use than other frameworks. Fast too!@martintechlabsTab 1Tab 2Tab 3langchain / langgraph once lead the way but @AgnoAgi is the leader in agent frameworks right now. It is well engineered, more intuitive, and faster.@LamarDealMakerJust a few lines of code with the @AgnoAgi. Framework can generate cinematic-quality videos. We're living in the era where Hollywood-level content creation is becoming accessible to any developer willing to experiment.@maxbragliaWhy is @AgnoAgi the best framework for Async. Unified API: same agent for sync & async, minimal code changes
consistent results, no event loop headaches. Async has never been this easy.@n_sri_laasyaTab 1Tab 2Tab 3🥗 Over the holidays, I built Sous Chef, an AI agent using @Agno to simplify my family’s meal prep. 🌟Aishwarya Raghavan@AgnoAgi is one of the most succinct Agentic frameworks out there. No wasted words.@vkas_xI don’t highlight this enough: the Memory & Knowledge system in @AgnoAgi is insanely powerful.@maxbragliaLoved by engineers atTab 1Tab 2Tab 1Tab 2Tab 3Tab 1Tab 1Tab 2Tab 1Tab 2Tab 1Tab 2AgentOS runtimeTurn agents into production infrastructure. Run agents, teams, and workflows as one scalable API. Ship on day one.more about AgentOSAgentOSAgentTeamWorkflowagent_os = AgentOS(
  description="Powerful Agent System",
  agents=[knowledge_agent, support_agent],
  teams=[research_team],   workflows=[social_media_workflow],   interfaces=[Slack(), AISdk(), AGUI()],)agent_os = AgentOS(
  description="Powerful Agent System",
  agents=[knowledge_agent],
  teams=[research_team],
  workflows=[sm_workflow],
  interfaces=[Slack(), AISdk()],)1234567knowledge_agent = Agent(
  name="Knowledge Agent",
  model="claude:sonnet-4",
  tools=[DeepResearchTool],   knowledge=Knowledge("company_docs")   db=Postgres("postgresql://user:pass@host/db"),   enable_memories=true
  instructions="Search internal docs to answer questions",)knowledge_agent = Agent(
  name="Knowledge Agent",
  model="claude:sonnet-4",
  tools=[DeepResearchTool],
  knowledge=Knowledge("company_docs")
  db=Postgres(connection_string),
  enable_memories=true
  instructions=instruction,)123456789research_team = Team(
  name="Research Squad",
  members=[web_researcher, social_insights_agent],
  model="claude:sonnet-4",   db=Postgres("postgresql://user:pass@host/db"),
  instructions="Collaborate for deep research",
  enable_memories=true,)research_team = Team(
  name="Research Squad",
  members=[agent 1, agent 2],
  model="claude:sonnet-4",
  db=Postgres(connection_string),
  instructions=instruction,
  enable_memories=true,)12345678social_media_workflow = Workflow(   name=Social Media Autopilot",   description=description,    db=Postgres(connection_string),   steps=[       Router(           selector=select_channel,           choices=[agent 1, agent 2],       ),       publish_post,   ],)123456789101112social_media_workflow = Workflow(   name=Social Media Autopilot",   description="Generate & publish engaging posts.",    db=Postgres("postgresql://user:pass@host/db"),   steps=[       Router(           selector=select_channel,           choices=[x_agent, linkedin_agent],       ),       publish_post,   ],)Agno SDKBuild agents with memory, knowledge, tools, guardrails, and human-in-the-loop. One framework, everything included.More about FrameworkInstructionsMemoryKnowledgeSelf LearningGuardrailsProduction-readyPrivate by designSecurity built-inScalableManage your system with a powerful control planeA secure UI for your AgentOS. Full visibility and real-time control for engineers and operators. Chat, trace, monitor, and manage.Track, evaluate and improve system performanceEdit, organize and label user memoriesAdd, update and manage knowledge used by your agentsIn-depth insight into every live interactionEvaluate your agents across 3 dimensions: accuracy, reliability and performance.[ Metrics ][ Memory manager ][ Knowledge manager ][ Session monitoring ][ Evaluations ]Fastest agent instantiation529×faster than Langgraph57×faster than PydanticAI70× faster than CrewAILowest memory footprint24×lower than Langgraph4×lower than PydanticAI10× lower than CrewAITime to instantiate an agent (avg.)Memory footprint per agent (avg.)Private by default. No data leaves your cloud.Your AgentOS runs in your cloud. Usage, logs, metrics, traces, memory, knowledge, sessions, and user data stay in your environment remain fully under your control.[ With Agno ][ Without Agno ]Monitor system in real-timeKeep everything in your databaseAny cloud: AWS, GCP, Railway --- FreeFor building agent systemsOpen SourceBuild multi-agent systemsRun agent systems using the AgentOSControl Plane for local AgentOSChat with agents, teams and workflowsSession monitoring & metricsKnowledge & memory managementSystem evaluationsJumpstart & communityPre-built production-ready codebasesCommunity support and forumsDocsPro $150/moFor managing production systemsEverything in FreeControl Plane for live AgentOS1 live connection4 total seats includedUnlimited usageunlimited monitoringunlimited retentionunlimited knowledgeunlimited memoriesunlimited chatsAdd-ons$30/mo per seat$95/mo per live connectionGet startedEnterpriseFor mission critical, custom solutionsEverything in ProSupport & scaleDedicated slack channelDedicated technical leadSupport SLACustomizationCustom SSO and RBACCustom agent solutionsSelf-hosted Control PlaneBook a call --- At Agno, we’re curious, experimental, and relentlessly hands-onWe love partnering with people who share our spirit—from single-person projects to massive enterprises—to create tools and agents that break new ground.The most exciting work happens when we build cool things together.Why AgnoAgno (ἁγνὸ) means pure in Greek, reflecting our design principles:Simplicity: No graphs, chains, or convoluted patterns–just pure Python.Uncompromising Performance: Blazing-fast Agents with a minimal memory footprint.Truly Agnostic: Any model, any provider, any modality – future-proof by design.Our community is everything_Open source is better together. Get support, share what you’re working on, and connect with like-minded people.COMMUNITYJoin Discord --- LightweightModularComposableScalableTab 1Tab 2Tab 3Tab 4Mark my words. Next big startup will be built on @AgnoAgi… and it might be mine.@lebrxndxngThe hype is real. @AgnoAgi is what you've been looking for. I still can't believe it's so easy to use. So many new toys to play with.@smilingnosrati@AgnoAgi‘s framework is awesome. You can build agents, teams of agents, tools for agents, workflows and connect them to an UI, Telegram, Slack, WhatsApp… it’s just super flexible and easy to work with.@bernhard_meAfter using Langgraph for a while, tested and evaluated crewai and more, recently I'm starting new projects only with @AgnoAgi, everything just make more sense, well engineered, flexible and way way faster. You guys made an amazing job.@IdanP70Tab 1Tab 2Tab 3Tab 4I'm actually very surprised how fast it is to get @AgnoAgi agents up and running. Like literally 2 minutes.@MitchBernsteinGPT 4.1 + @AgnoAgi = TOTAL POWER! I'm in love with this pairing!@LamarDealMakerThis video was completely generated with a single prompt. Coming soon to SlideShots!! Thanks to @AgnoAgi@JollyTanpreetI have been using @AgnoAgi for a while now and can attest it is so much easier to use than other frameworks. Fast too!@martintechlabsTab 1Tab 2Tab 3langchain / langgraph once lead the way but @AgnoAgi is the leader in agent frameworks right now. It is well engineered, more intuitive, and faster.@LamarDealMakerJust a few lines of code with the @AgnoAgi. Framework can generate cinematic-quality videos. We're living in the era where Hollywood-level content creation is becoming accessible to any developer willing to experiment.@maxbragliaWhy is @AgnoAgi the best framework for Async. Unified API: same agent for sync & async, minimal code changes
consistent results, no event loop headaches. Async has never been this easy.@n_sri_laasyaTab 1Tab 2Tab 3🥗 Over the holidays, I built Sous Chef, an AI agent using @Agno to simplify my family’s meal prep. 🌟Aishwarya Raghavan@AgnoAgi is one of the most succinct Agentic frameworks out there. No wasted words.@vkas_xI don’t highlight this enough: the Memory & Knowledge system in @AgnoAgi is insanely powerful.@maxbragliaLoved by engineers atTab 1Tab 2Tab 1Tab 2Tab 3Tab 1Tab 1Tab 2Tab 1Tab 2Tab 1Tab 2All-in-one agent platformEverything needed to go from idea to multi-agent system—all in a few lines of code._Why use an agent framework?Ship reliable agents quickly_Faster, easier developmentBuild quickly with ready-made components for LLMs, memory, tools, and knowledge. Unified APIs cut boilerplate so you can focus on logic, not setup.
Maximum flexibilitySwap LLMs, databases, or vector stores anytime—no rewrites needed. Combine reasoning, search, and tools into powerful, maintainable pipelines.
Production-grade reliabilityKeep agents stable with automatic retries, built-in error handling, and persistent state management. Ensure observability and performance at scale with integrated logging and monitoring.Everything you need to build smarter agents_Built-in memory & knowledgeLong-term memory, session storage, domain knowledge, and chat history give agents the context they need.Advanced multi-agent teamsOrchestrate teams of agents that collaborate, share context, and execute complex tasks reliably.
Tools and MCP supportConnect to anything in real time to extend capabilities, no custom integrations needed. Model-agnostic reasoningNative reasoning tools and chain-of-thought orchestration enable agents to think, not just react.Guardrails & moderationApply built-in and custom guardrails to ensure alignment with business, ethical, and operational rules.Multimodal capabilitiesHandle text, images, audio, and video both as input and output.Model-agnostic architectureUse 20+ LLMs (OpenAI, Anthropic, Ollama, etc.) interchangeably.Retrieval & search integrationConnect to vector databases and knowledge sources for efficient, context-aware RAG.Turn agents into production infrastructure_Run agents, teams, and workflows as one scalable API. Ship on day one.Try AgentOSLEarn moreAgno FAQs_What is Agno?Agno is an open-source Python framework for building and running AI agents. It provides ready-made components—like LLM interfaces, memory, knowledge retrieval, and tool integrations—so developers can focus on logic and features instead of infrastructure.How is Agno different from other AI frameworks like LangGraph or CrewAI?Agno’s modular design allows you to swap LLMs, databases, or vector stores without rewriting code, and its built-in state management, observability, and human-in-the-loop capabilities make it easier to deploy stable, production-grade agents.Which languages does Agno support?Agno is written in Python, the most widely used language for AI development. It works seamlessly with common Python environments, package managers, and popular data science tooling.Can I use different large language models (LLMs) with Agno?Yes. Agno supports plug-and-play LLM integrations, including OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models (e.g., LLaMA, Mistral) through Ollama or other providers. Switching models requires no core-logic rewrite.Does Agno support multi-agent collaboration?Absolutely. Agno allows you to compose multiple agents that can plan, communicate, and delegate tasks to one another. This enables complex, multi-step workflows such as research pipelines, automated data processing, or customer-support triage.How does Agno handle session management and memory?Agno includes built-in session management to keep conversations and user memory consistent across interactions and scale to many concurrent sessions. It also offers flexible memory primitives—from short-term context to long-term user learning storage—so agents can remember key facts and maintain continuity over time.Does Agno support human oversight?Yes. Agno supports human-in-the-loop flows like User Confirmation, User Input, and External Tool Execution. This ensures that humans can review, correct, or guide critical decisions, maintaining accuracy and safety.Which integrations does Agno support?Agno provides day-zero, single-line integrations with major vector databases (Pinecone, Weaviate, Qdrant), cloud storage (AWS S3, GCP), collaboration tools (Slack, Notion), and more. Support for the Model Context Protocol (MCP) lets agents securely connect to live data sources and trigger workflows with minimal configuration.Is Agno suitable for production deployment?Yes. Agno is built for production-grade reliability with built-in error handling, retries, observability (logging and monitoring), and state persistence. It supports FastAPI integration and runs on containerized infrastructure like Docker or Kubernetes, and can scale from a single agent to thousands of concurrent sessions.Your first agent is one command away_From prototype to production, Agno lets you design, launch, and scale AI agents with a clean Python API and battle-tested infrastructure.GET STARTEDView Pricing