agno-agi/agno

Features

• Agent Frameworks - AgentOS configures and serves code-based agents, managing tool permissions, model selection, and execution turns for automated tasks.
• Agent Gateways - A unified interface that aggregates multiple agents, teams, and workflows into production-ready endpoints with built-in security.
• Agent Orchestration Platforms - AgentOS provides a web interface to monitor multi-agent systems, connecting directly to the runtime for testing, tracing, and orchestrating agents and workflows.
• Agent Runtimes - AgentOS deploys agentic systems as production-ready APIs by bundling agents, teams, and workflows into a managed runtime environment with built-in tracing.
• Agentic Workflow Orchestrators - Building and deploying complex multi-agent systems that coordinate tasks, delegate sub-processes, and manage shared knowledge across distributed environments.
• AI Runtimes - AgentOS runs managed agents within a sandboxed Linux environment to perform tasks like code execution, web searching, and file operations.
• Human-in-the-loop Controls - AgentOS pauses agent execution when a tool is triggered, requiring manual administrator intervention before the process can proceed or complete.
• Agent Communication Protocols - AgentOS exposes agent instances as MCP servers to allow external compatible clients to connect, interact with agents, and access system tools.
• Agent Delegation Frameworks - AgentOS assigns specific tasks to specialized sub-agents using different models to improve overall performance and reduce operational costs.
• Agent Memory Systems - Maintains a persistent, cross-agent memory store that allows autonomous systems to reflect on and share insights across sessions.
• Agent Orchestration Gateways - Aggregates distributed agents and workflows into a single API layer to simplify access and orchestration across multiple remote instances.
• Approval Workflows - AgentOS provides a centralized dashboard to review and resolve pending approval requests by inspecting tool arguments and tracking task resolution history.
• Context Provider Frameworks - AgentOS merges multiple context providers into a single agent to combine their tools and instructions, helping the agent select relevant information.
• Agent State Persistence - AgentOS persists agent sessions, chat history, internal state, and knowledge by connecting a database to store and retrieve context across turns.
• Language Features - AgentOS creates fresh agent instances for incoming requests by registering a callable factory that uses request-time context to configure the agent.
• Authentication Strategies - AgentOS validates JSON Web Tokens from headers or cookies to authenticate incoming requests and automatically inject user identity and session claims into endpoints.
• Agent Connectivity Interfaces - AgentOS provides a simple asynchronous client interface to connect to remote agent systems, retrieve configuration, list agents, and execute tasks.
• Agent Framework Integrations - AgentOS wraps DSPy modules as agents to serve them through the operating system or use them as standalone components in applications.
• Agent Governance Platforms - A management layer providing role-based access control, approval workflows, and observability for autonomous agent operations.
• Knowledge Management Systems - AgentOS allows creating and seeding organizational standards, principles, and guidelines explicitly using dedicated managers or by defining knowledge objects directly.
• Persistent Conversation Stores - AgentOS enables persistent chat memory by connecting a database to an agent or team, allowing the model to recall previous interactions.
• API Gateways - AgentOS aggregates agents, teams, and workflows from multiple remote instances into a single unified API gateway to simplify access to distributed infrastructure.
• Access Control Policies - AgentOS enforces security by routing read and write operations to distinct sub-agents with restricted permissions, ensuring read-only agents cannot execute write commands.
• Access Control Systems - AgentOS enforces role-based access control by validating token scopes against required permissions for specific application endpoints to restrict unauthorized access.
• Authorization Middleware - AgentOS authorizes agent capabilities by accessing verified user claims and scopes from the request context, ensuring security decisions rely on trusted middleware data.
• Agent Runtimes - Wraps diverse agent frameworks into a unified interface to enable consistent execution and management across different underlying technologies.
• Integration Interfaces - AgentOS exposes external systems to agents through a unified interface that wraps multiple tools into simple read and write operations.
• Request Pipelines - Processes incoming and outgoing traffic through a chain of handlers to enforce authentication, logging, and security policies.
• Middleware Frameworks - AgentOS integrates authentication, logging, monitoring, and security features into applications by adding compatible middleware to the underlying web server instance.
• Agent Tooling - AgentOS defines dynamic toolsets or knowledge bases by passing a function that evaluates context at the start of each run to customize agent capabilities.
• Automated Learning Systems - AgentOS configures agents to automatically reflect on interactions and update shared cultural knowledge after every run to ensure continuous improvement.
• Shared Knowledge Layers - AgentOS manages a shared knowledge layer where agents store and retrieve universal principles, best practices, and reusable insights that apply across interactions.
• Agent Frameworks - Lightweight library for building agents with memory and tools.
• Agent Orchestration - Build agents with memory, tools, and reasoning capabilities.
• AI Agent Frameworks - Lightweight library for building multimodal agents.
• Customer Service and Retail Agents - Recommends products by searching across major e-commerce platforms.
• Education and Research Agents - Facilitates academic searches, publication analysis, and structured reporting.
• Entertainment and Lifestyle Agents - Provides personalized movie and book recommendations.
• Finance and Trading Agents - Provides real-time stock insights and financial deep-dives.
• Legal and Cybersecurity Agents - Analyzes legal PDFs using vector embeddings for insights.
• Agent Framework Examples - Lightweight framework for single-agent tools and rapid prototyping.
• Runtime Environments - AgentOS executes agent responses in the terminal for development or streams structured output events for production applications using synchronous or asynchronous methods.
• API Authentication Strategies - AgentOS secures agent instances by passing authorization headers, such as bearer tokens, with configuration and execution calls to verify requester identity.
• Model Evaluation - AgentOS measures agent or team performance by comparing actual responses against expected outputs using an automated judge to score accuracy.
• Agent Integration APIs - AgentOS enables interaction with the approval system via standard HTTP endpoints to list, retrieve, resolve, or delete approval records during automated workflows.
• Context Optimization Tools - AgentOS shrinks verbose tool call results to minimize token usage and preserve context window space while keeping essential information available.
• Context Window Management - AgentOS limits the amount of historical data sent to the model by configuring the number of previous runs, message count, or tool call frequency.
• Evaluation Frameworks - AgentOS logs and tracks evaluation results in a database to monitor performance trends and access run history through an integrated management platform.
• Database Agent Connectors - AgentOS grants agents read and write access to SQL databases through isolated engines to enforce strict privilege separation and secure query execution.
• Asynchronous Execution Hooks - AgentOS executes non-critical agent hooks asynchronously to prevent blocking the main response path, improving performance for tasks like logging and notifications.
• Request Middleware - AgentOS allows intercepting and processing incoming requests and outgoing responses for cross-cutting concerns like authentication, logging, and rate limiting.
• Workflow Approval Gates - AgentOS allows defining approval steps as blocking to pause execution or non-blocking to log activity for auditing purposes during agent runs.
• Agent Observability - Monitoring agent performance, tracing autonomous decision paths, and automating accuracy assessments to ensure reliable behavior in production systems.
• Agent API Gateways - Exposing autonomous agents as secure, scalable, and observable web services with built-in authentication, middleware, and request-scoped configuration.
• Response Streaming Interfaces - AgentOS streams agent responses in real-time by iterating over event objects, allowing for immediate display of content as it is generated.
• Streaming Architectures - Streams agent outputs in real-time by iterating over structured event objects to provide immediate feedback to the client.
• Calendar Agent Integrations - AgentOS integrates calendar functionality into agents to query schedules, check availability, and create or modify meetings using secure authentication protocols.
• Conversation History Management - AgentOS retrieves raw chat logs, session messages, or run outputs programmatically to build custom interfaces, debug behavior, or export transcripts.
• Memory Retrieval Systems - AgentOS searches across multiple past sessions to provide the model with broader context that spans beyond the current conversation.
• Concurrency Patterns - Prevents race conditions during asynchronous execution by creating independent copies of inputs and contexts for each concurrent process.
• Configuration Schemas - AgentOS allows defining system settings programmatically using typed configuration classes to ensure structure and validation for chat, memory, and database components.
• Input Validation Schemas - AgentOS validates client-supplied input against a schema before agent creation to ensure configuration parameters are correct and reject invalid requests.
• Distributed Tracing - AgentOS configures tracing for agents and workflows to gain observability into autonomous decisions, API calls, and tool executions through the dashboard.

Star history