Agno

Docs

• Approvals
• Background Hooks
• A2A Client
• AgentOS Client
• Clients
• AgentOS Configuration
• Connect Your AgentOS
• AgentOS Control Plane
• Overriding Routes
• Bring Your Own FastAPI App
• AgentFactory
• Dynamic Agents
• TeamFactory
• WorkflowFactory
• A2A
• AG-UI
• Interfaces
• Human-in-the-Loop
• Slack
• Slack Reference
• Setup
• Telegram
• Telegram Reference
• Setup
• WhatsApp
• WhatsApp Reference
• Setup
• What is AgentOS?
• Filter Knowledge
• Manage Knowledge
• Custom Lifespan
• AgentOS as MCP Server
• MCPTools within AgentOS
• Custom Middleware
• JWT Middleware
• AgentOS Middleware
• Antigravity
• Claude Agent SDK
• DSPy
• LangGraph
• Multi-Framework Support
• Overview
• AgentOS Gateway
• Remote Execution
• Remote Agent
• Remote Team
• Remote Workflow
• Run Your AgentOS
• Scheduler
• AgentOS Security
• Role-Based Access Control (RBAC)
• Agents
• CEL Expressions
• Overview
• Registry
• Teams
• Overview
• Filter Options
• Tracing
• Agent with Knowledge Tracing
• Agent with Reasoning Tools Tracing
• Basic Agent Tracing
• Basic Team Tracing
• Basic Workflow Tracing
• Multi-DB Tracing with setup_tracing()
• Multi-DB Tracing with tracing=True
• Background Hooks (Per-Hook)
• Background Hooks (Global)
• Background Output Evaluation
• Basic Client Usage
• Knowledge Search
• Memory Operations
• Running Agents
• Running Teams
• Running Workflows
• Session Management
• Database Migrations
• AgentOS Demo
• AgentOS Configuration
• Human-in-the-Loop Example
• Agent with Tools
• Basic
• Research Team
• Agent with Tools
• Basic
• Research Team
• Slack Agent with User Memory
• Basic Slack Agent
• Channel Summarizer
• File Analyst
• Multi-Bot
• Multimodal Team
• Multimodal Workflow
• Multiple Instances
• Reasoning Finance Agent
• Research Assistant
• Streaming Deep Research
• Support Team
• Slack Workflow
• Telegram Agent with Media
• Telegram Agent with User Memory
• Basic Telegram Agent
• Multiple Instances
• Telegram Reasoning Agent
• Streaming Telegram Agent
• Streaming Workflow
• Multi-Agent Telegram Team
• Telegram Workflow
• WhatsApp Agent with Media Support
• WhatsApp Agent with User Memory
• Basic WhatsApp Agent
• WhatsApp Image Generation Agent (Model-based)
• WhatsApp Image Generation Agent (Tool-based)
• WhatsApp Reasoning Finance Agent
• Enable AgentOS MCP
• AgentOS with MCPTools
• Custom FastAPI App with JWT Middleware
• Custom Middleware
• JWT Middleware with Cookies
• JWT Middleware with Authorization Headers
• Advanced Scopes
• Basic RBAC (Asymmetric)
• Basic RBAC (Symmetric)
• Custom Scope Mappings
• Per-Agent Permissions
• AgentOS Gateway
• Remote Agent
• Remote Team
• Using the API
• Create an Agent
• Evals
• Improve an Agent
• Next Steps
• Overview
• Run Locally
• Run on Railway
• Building Agents
• Debugging Agents
• What are Agents?
• Running Agents
• Agent with Followup Suggestions
• Agent with Knowledge
• Agent with Memory
• Agent with Storage
• Agent with Structured Output
• Agent with Tools
• Background Execution
• Use Agno with Coding Agents
• Context Compression
• Token Counting
• Building Custom Providers
• What are Context Providers?
• Google Calendar
• Database
• Google Drive
• Filesystem
• Gmail
• MCP
• Provider Catalog
• Slack
• Web
• Wiki
• Workspace
• Using Providers
• Providing Datetime
• Dynamic Instructions
• Few-Shot Learning
• Managing Tool Calls
• Basic Instructions
• Instructions via Function
• Providing Location
• Context Engineering
• Context Engineering
• Managing Tool Calls
• Context Engineering
• What is Culture?
• Custom Logging
• Chat History
• Database
• Async MongoDB
• Async MongoDB for Agent
• Async MongoDB for Team
• Async MongoDB for Workflow
• Async MySQL
• Async MySQL for Agent
• Async MySQL for Team
• Async MySQL for Workflows
• Async PostgreSQL
• Async Postgres for Agent
• Async Postgres for Team
• Async Postgres for Workflows
• Async SQLite
• Async Sqlite for Agent
• Async Sqlite for Team
• Async SQLite for Workflow
• DynamoDB
• DynamoDB for Agent
• DynamoDB for Team
• DynamoDB Workflow Storage
• Firestore
• Firestore for Agent
• Firestore for Team
• Firestore for Workflows
• JSON files as database, on Google Cloud Storage (GCS)
• Google Cloud Storage for Agent
• GCS for Team
• GCS for Workflows
• In-Memory Storage
• In-Memory Storage for Agents
• In-Memory Storage for Teams
• In-Memory Storage for Workflows
• JSON Files as Database
• JSON for Agent
• JSON for Team
• JSON for Workflows
• MongoDB Database
• MongoDB for Agent
• MongoDB for Team
• MongoDB for Workflow
• MySQL
• MySQL for Agent
• MySQL for Team
• MySQL Workflow Storage
• Neon
• Database Index
• PostgreSQL
• Postgres for Agent
• Postgres for Team
• Postgres for Workflows
• Redis
• Redis for Agent
• Redis for Team
• Redis for Workflows
• Selecting Custom Table Names
• Singlestore
• Singlestore for Agent
• Singlestore for Team
• Singlestore for Workflow
• SQLite
• Sqlite for Agent
• Sqlite for Team
• SQLite for Workflow
• Supabase
• SurreabDB
• SurrealDB for Agent
• SurrealDB for Team
• SurrealDB for Workflow
• Session Storage
• Access Dependencies in Tool
• Add Dependencies to Agent Run
• Add Dependencies to Agent Context
• Dependencies with Agents
• Dependencies
• Access Dependencies in Team Tool
• Adding Dependencies to Team Run
• Adding Dependencies to Team Context
• Dependencies with Teams
• Using Reference Dependencies in Team Instructions
• Interfaces
• A2A
• AG-UI
• Discord
• Slack
• Telegram
• WhatsApp
• Deploy AgentOS
• Templates
• CI/CD Automation
• Code Quality
• Database Setup
• Database Tables
• Development Application
• Persistent Storage with EFS
• Environment Variables
• Format & Validate
• Create Git Repo
• Infra Settings
• Install & Setup
• Local Development
• Setup infra for new users
• Customize AgentOS on AWS
• Production Application
• Add Python Libraries
• Secrets & API Keys
• SSH Access
• Deploy to AWS
• Connect to Control Plane
• Add HTTPS
• Production Deployment
• Verify Your Deployment
• Monitoring AgentOS on AWS
• Troubleshooting AgentOS on AWS
• AWS Reference
• Coda
• Dash
• Deploy with Docker
• Docker Reference
• Gcode
• Improve Agents
• PAL
• Deploy to Railway
• Railway Reference
• Scout
• Accuracy Evals
• Async Accuracy Evaluation
• Comparison Accuracy Evaluation
• Accuracy with Database Logging
• Accuracy with Given Answer
• Accuracy with Teams
• Accuracy with Tools
• Basic Accuracy
• Agent as Judge Evals
• Async Agent as Judge
• Basic Agent as Judge
• Batch Agent as Judge
• Binary Agent as Judge
• Agent as Judge with Custom Evaluator
• Agent as Judge as Post-Hook
• Agent as Judge with Teams
• Async Team Post-Hook Agent as Judge
• Agent as Judge with Guidelines
• What is Evals
• Performance Evals
• Performance on Agent Instantiation
• Async Performance Evaluation
• Performance with Database Logging
• Performance on Agent Instantiation with Tool
• Performance on Agent Response
• Performance with Teams
• Team Performance with Memory
• Performance with Memory Updates
• Performance on Agent with Storage
• Reliability Evals
• Reliability with Single Tool
• Async Reliability Evaluation
• Reliability with Database Logging
• Single Tool Reliability
• Team Reliability with Stock Tools
• Reliability with Multiple Tools
• Reliability with Teams
• Agents
• AgentOS Demo
• File Output
• This example shows how to run an Agent using our MCP integration in the Agno OS.
• Multiple Knowledge Bases
• Advanced Demo
• Advanced Demo Reasoning Demo
• Example showing a reasoning Agent in the AgentOS.
• Teams
• Teams Demo
• Agno Agent
• Example: Per-Hook Background Control with AgentAsJudgeEval in AgentOS
• Example: Using Background Post-Hooks in AgentOS
• Example: Using Background Post-Hooks in AgentOS
• Example: Background Hooks with Teams in AgentOS
• Example: Background Hooks with Workflows in AgentOS
• Example: Background Output Evaluation with Agent-as-Judge
• Background Tasks Evals Demo
• Background Tasks
• Minimal example for AgentOS.
• Basic A2A Messaging with A2AClient
• Connect Agno A2AClient to Google ADK A2A Server.
• Error Handling with A2AClient
• Multi-Turn Conversations with A2AClient
• Agno AgentOS A2A Server for testing A2AClient.
• Google ADK A2A Server for testing A2AClient.
• Servers
• Streaming A2A Messages with A2AClient
• Basic AgentOSClient Example
• Knowledge Search with AgentOSClient
• Memory Operations with AgentOSClient
• Client
• Running Agents with AgentOSClient
• Running Evaluations with AgentOSClient
• Running Teams with AgentOSClient
• Running Workflows with AgentOSClient
• AgentOS Server for Cookbook Client Examples
• Session Management with AgentOSClient
• Uploading Content to Knowledge Base with AgentOSClient
• Example AgentOS app with a custom FastAPI app with basic routes.
• Example AgentOS app with a custom health endpoint.
• Example AgentOS app where the agent has a custom lifespan.
• Example for AgentOS to show how to generate custom events.
• Example AgentOS app with a custom FastAPI app with conflicting routes.
• Customize
• Example for AgentOS to show how to pass dependencies to an agent.
• Update From Lifespan
• AgentOS Demo
• Example showing how to use AgentOS with a DynamoDB database
• Example showing how to use AgentOS with a Firestore database
• Example showing how to use AgentOS with JSON files hosted in GCS as database.
• Example showing how to use AgentOS with JSON files as database
• Mongo Database Backend
• MySQL Database Backend
• Example showing how to use AgentOS with Neon as our database provider
• Postgres Database Backend
• Example showing how to use AgentOS with Redis as database
• Example showing how to use AgentOS with SingleStore as our database provider
• Example showing how to use AgentOS with a SQLite database
• Example showing how to use AgentOS with Supabase as our database provider
• Example showing how to use AgentOS with SurrealDB as database
• Agents
• Db
• Surreal Db
• SurrealDB + AgentOS demo
• Teams
• Workflows
• AgentOS Demo
• Factory with HITL Tool
• Factory with Input Schema
• JWT-Driven Factory
• Factories
• Per-tenant Agent Factory
• Integrations
• Example for AgentOS with Shopify tools.
• Agent With Tools
• Basic
• Airbnb Agent
• Trip Planning A2A Client
• Weather Agent
• Reasoning Agent
• Research Team
• Structured Output
• Silent External Tools - Suppress verbose messages in frontends
• Agent With Tools
• Basic
• Multiple Instances
• Reasoning Agent
• Research Team
• Structured Output
• AgentOS Demo
• Agent With User Memory
• Basic
• Basic Workflow
• Channel Summarizer
• File Analyst
• Multiple Instances
• Reasoning Agent
• Research Assistant
• Support Team
• Agent With Media
• Agent With User Memory
• Basic
• Image Generation Model
• Image Generation Tools
• Multiple Instances
• Whatsapp
• Reasoning Agent
• Agentos Excel Analyst
• AgentOS Knowledge (Sync And Async)
• Agno docs agent
• Knowledge
• AgentOS with MCPTools using dynamic headers.
• Simple MCP server that logs headers received from clients.
• Example AgentOS app with MCP enabled.
• Example AgentOS app where the agent has MCPTools.
• Example AgentOS app where the agent has MCPTools.
• Example AgentOS app where the agent has MCPTools.
• Mcp Demo
• First run the AgentOS with enable_mcp=True
• Agent Os With Custom Middleware
• This example demonstrates how to use our JWT middleware with AgentOS.
• Agent Os With Jwt Middleware Cookies
• Custom Fastapi App With Jwt Middleware
• Extract Content Middleware
• Example demonstrating how to use guardrails with an Agno Agent.
• Middleware
• Basic
• Os Config
• Yaml Config
• Agent Os
• Basic RBAC Example with AgentOS (Asymmetric Keys)
• Custom Scope Mappings Example
• Symmetric Advanced Scopes
• Per-Agent Permissions Example with AgentOS
• Basic RBAC Example with AgentOS
• Custom Scope Mappings Example
• Symmetric
• Basic RBAC Example with AgentOS
• Google ADK A2A Server for Cookbook Examples.
• Remote Agent Os Gateway
• Agno A2A Server for Cookbook Examples.
• Remote
• Example demonstrating how to connect to a remote Google ADK agent.
• Examples demonstrating AgentOSRunner for remote execution.
• Example demonstrating how to connect to a remote Agno A2A agent.
• Examples demonstrating AgentOSRunner for remote execution.
• AgentOS Server for Cookbook Client Examples
• Async schedule management using the async ScheduleManager API.
• Basic scheduled agent run.
• Running the scheduler inside AgentOS with programmatic schedule creation
• Multi-agent scheduling with different cron patterns and payloads.
• Scheduler
• Using the scheduler REST API endpoints directly.
• Viewing and analyzing schedule run history.
• Schedule management via REST API.
• Schedule validation and error handling.
• Running the scheduler inside AgentOS with automatic polling
• Scheduling teams and workflows (not just agents).
• Agent Input And Output Schemas
• Schemas
• Team Input And Output Schemas
• Get basic system information.
• List files in a directory.
• Scripts
• Skills With Agentos
• Agent with knowledge tracing
• 04 Agent With Reasoning Tools Tracing
• Traces with AgentOS
• 02 Basic Team Tracing
• Traces with AgentOS
• Traces with AgentOS
• Traces with AgentOS
• Traces with AgentOS using SqliteDb
• Tracing
• Traces with AgentOS
• Traces with AgentOS
• Basic Chat Workflow Agent
• Basic Workflow
• Basic Workflow Team
• Customer Research Workflow Parallel
• Workflow
• Workflow With Conditional
• Workflow With Custom Function Executors
• Workflow With Custom Function Updating Session State
• Workflow With History
• Workflow With Input Schema
• Workflow With Loop
• Workflow With Nested Steps
• Workflow With Parallel
• Workflow With Parallel And Custom Function Step Stream
• Workflow With Router
• Workflow With Steps
• Advanced Compression
• Agent Serialization
• 03 Automatic Cultural Management
• Example demonstrating background execution with polling and cancellation.
• Background Execution Metrics
• Example demonstrating background execution with structured output.
• Basic Agent Events
• Cache Model Response
• Cancel Run
• Compression Events
• Concurrent Execution
• 01 Create Cultural Knowledge
• Culture Metrics
• Example demonstrating a custom cancellation manager.
• Custom Logging
• Debug
• 04 Manually Add Culture
• Multi-Model Metrics
• Advanced
• Reasoning Agent Events
• Retries
• Session Metrics
• Session Summary Metrics
• SSE Reconnection
• Streaming Metrics
• Tool Call Compression
• Tool Call Metrics
• 02 Use Cultural Knowledge In Agent
• Approval Async
• Approval Basic
• Approval External Execution
• Approval List And Resolve
• Approval Team
• Approval User Input
• Audit Approval Async
• Audit Approval Confirmation
• Audit Approval External
• Audit Approval Overview
• Audit Approval User Input
• Agent with Instructions
• Agent with Tools
• Basic Agent
• Few Shot Learning
• Filter Tool Calls From History
• Instructions
• Instructions With State
• Introduction Message
• System Message
• Dependencies In Context
• Dependencies In Tools
• Dynamic Tools
• Custom Guardrail
• Openai Moderation
• Output Guardrail
• Guardrails
• Pii Detection
• Prompt Injection
• Hooks
• Post Hook Output
• Pre Hook Input
• Session State Hooks
• Stream Hook
• Tool Hooks
• Agentic User Input
• Confirmation Advanced
• Confirmation Required
• Confirmation Required MCP Toolkit
• Confirmation Toolkit
• External Tool Execution
• Human In The Loop
• User Input Required
• Expected Output
• Input Formats
• Input Schema
• Output Model
• Output Schema
• Input Output
• Parser Model
• Response As Variable
• Save To File
• Streaming
• Agentic Rag
• Agentic Rag With Reasoning
• Agentic Rag With Reranking
• Custom Retriever
• Knowledge Filters
• Knowledge
• Rag Custom Embeddings
• References Format
• Traditional Rag
• Learning Machine
• Memory Manager
• Audio Input Output
• Audio Sentiment Analysis
• Audio Streaming
• Audio To Text
• Image To Audio
• Image To Image
• Image To Structured Output
• Image To Text
• Media Input For Tool
• Multimodal
• Video Caption
• Agents
• Basic Reasoning
• Reasoning With Model
• Basic Skills
• Check Style
• Commit Message
• Agentic Session State
• Chat History
• Dynamic Session State
• Last N Session Messages
• State And Session
• Persistent Session
• Session Options
• Session State Advanced
• Session State Basic
• Session State Events
• Session State Manual Update
• Session State Multiple Users
• Session Summary
• Callable Tools Factory
• Tools
• Session State Tools
• Team Callable Members
• Tool Call Limit
• Tool Choice
• Agentic Search over Knowledge
• Agent with Guardrails
• Agent with Memory
• Agent with State Management
• Agent with Storage
• Agent with Structured Output
• Agent with Tools
• Agent with Typed I/O
• Custom Tool for Self-Learning
• Human in the Loop
• Multi-Agent Team
• Quickstart
• Agent OS - Web Interface for Your Agents
• Sequential Workflow
• AgentOS Registry App
• AgentOS Registry Demo
• Load Agent from Database
• Load Team from Database
• Load Workflow from Database
• Components
• Registry for Non-Serializable Components
• Save Agent to Database
• Save Team to Database
• Save Workflow to Database
• Workflows
• Save Conditional Workflow Steps
• Save Custom Executor Workflow Steps
• Save Loop Workflow Steps
• Save Parallel Workflow Steps
• Save Router Workflow Steps
• Comparison Accuracy Evaluation
• Basic Accuracy Evaluation
• Accuracy Eval Metrics
• Team Accuracy Evaluation
• Given Answer Accuracy Evaluation
• Tool-Enabled Accuracy Evaluation
• Accuracy Evaluation with Database Logging
• Accuracy Evaluation with Custom Evaluator Agent
• Accuracy
• Basic Agent-as-Judge Evaluation
• Batch Agent-as-Judge Evaluation
• Binary Agent-as-Judge Evaluation
• Custom Evaluator Agent-as-Judge Evaluation
• Agent-as-Judge Eval Metrics
• Post-Hook Agent-as-Judge Evaluation
• Team Agent-as-Judge Evaluation
• Team Post-Hook Agent-as-Judge Evaluation
• Guideline-Based Agent-as-Judge Evaluation
• Tool-Using Agent-as-Judge Evaluation
• Agent As Judge
• Evals
• Async Function Performance Evaluation
• AutoGen Instantiation Performance Evaluation
• CrewAI Instantiation Performance Evaluation
• LangGraph Instantiation Performance Evaluation
• OpenAI Agents Instantiation Performance Evaluation
• PydanticAI Instantiation Performance Evaluation
• Smolagents Instantiation Performance Evaluation
• Performance Evaluation with Database Logging
• Agent Instantiation Performance Evaluation
• Agent-with-Tool Instantiation Performance Evaluation
• Team Instantiation Performance Evaluation
• Performance
• Memory Update Performance Evaluation
• Storage-Backed Response Performance Evaluation
• Simple Response Performance Evaluation
• Team Memory and Reasoning Performance Evaluation
• Multi-User Team Memory Performance Evaluation
• Simple Team Memory Performance Evaluation
• Reliability Evaluation with Database Logging
• Multiple Tool Call Reliability Evaluation
• Asynchronous Reliability Evaluation
• Single Tool Call Reliability Evaluation
• Team Reliability Evaluation for News Search
• Team
• Basic A2A Server
• Basic A2A Agent Executor
• Basic A2A Client
• A2A
• Discord Agent With Media
• Discord Agent With User Memory
• Basic Discord Agent
• Discord
• Mem0 Integration
• Memori Integration
• Memory
• Zep Integration
• AgentOps Integration
• Arize Phoenix Project Routing
• Arize Phoenix Via OpenInference
• Arize Phoenix Local Via OpenInference
• Atla Observability Integration
• Langfuse Via OpenInference
• Langfuse Via OpenInference With Response Model
• Langfuse Via OpenLIT
• LangSmith Via OpenInference
• Langtrace Integration
• LangWatch Integration
• Latitude Via OpenInference
• Logfire Via OpenInference
• Maxim Integration
• Opik Via OpenInference
• Langfuse Team Tracing Via OpenInference
• Trace To Database
• Traceloop Integration
• Weave Integration
• Arize Phoenix Workflow Via OpenInference
• Langfuse Workflows Via OpenInference
• Workflows
• Integrations
• Agentic Rag Infinity Reranker
• Agentic Rag With Lightrag
• Local Rag Langchain Qdrant
• Rag
• SurrealDB Custom Memory Instructions
• SurrealDB Memory DB Tools Control
• SurrealDB Memory Creation
• SurrealDB Memory Search
• Surrealdb
• Standalone SurrealDB Memory Operations
• Examples
• Agentic Chunking
• Code Chunking
• Code Chunking Custom Tokenizer
• Csv Row Chunking
• Custom Strategy Example
• Document Chunking
• Fixed Size Chunking
• Markdown Chunking Examples
• Chunking
• Recursive Chunking
• Semantic Chunking
• Semantic Chunking Agno Embedder
• Semantic Chunking Chonkie Embedder
• Azure Blob Storage Content Source for Knowledge
• Content Sources for Knowledge - DX Design
• GitHub Content Source for Knowledge
• Cloud
• SharePoint Content Source for Knowledge
• Async Retriever
• Custom Retriever
• Retriever
• Example demonstrating custom knowledge retriever with runtime dependencies.
• AWS Bedrock Embedder
• AWS Bedrock Embedder v4
• Azure OpenAI Embedder
• Cohere Embedder
• Fireworks Embedder
• Gemini Embedder
• Hugging Face Embedder
• Jina Embedder
• LangDB Embedder
• Mistral Embedder
• Nebius Embedder
• Ollama Embedder
• OpenAI Embedder
• Embedders
• FastEmbed Embedder
• Sentence Transformer Embedder
• Together Embedder
• vLLM Local Embedder
• vLLM Remote Embedder
• VoyageAI Embedder
• Agentic Filtering
• Agentic Filtering With Output Schema
• Async Agentic Filtering
• Async Filtering
• Filtering
• Filtering On Load
• This example demonstrates how to use knowledge filter expressions with agents.
• This example demonstrates how to use knowledge filter expressions with teams.
• Filtering With Invalid Keys
• Filtering Chroma Db
• Filtering Lance Db
• Filtering Milvus
• Filtering Mongo Db
• Filtering Pgvector
• Filtering Pinecone
• Filtering Qdrant Db
• Filtering Surrealdb
• Filtering Weaviate
• Vector Dbs
• Multiple Knowledge Instances in AgentOS
• Os
• Knowledge
• FileSystemKnowledge Example
• Protocol
• Batching
• From GCS
• From Multiple Sources
• From Path
• From S3
• From Topic
• From URL
• From YouTube
• Include And Exclude Files
• Demonstrates knowledge isolation with isolate_vector_search flag.
• Knowledge Instructions
• Quickstart
• Remove Content
• Remove Vectors
• Skip If Exists
• Skip If Exists With Contents DB
• Specify Reader
• Text Content
• Arxiv Reader
• Arxiv Reader Async
• Field Labeled CSV Reader
• Csv Reader
• Csv Reader Async
• Csv Reader Custom Encodings
• Csv Reader Url Async
• Doc Kb Async
• Docling Multiple Formats
• Docling Reader
• Docling Reader Async
• Docling Reader URL
• Excel Legacy Xls
• Excel Reader
• Firecrawl Reader
• Json Reader
• Markdown Reader Async
• Md Reader Async
• Readers
• Pdf Reader Async
• Pdf Reader Password
• Pdf Reader Url Password
• Pptx Reader
• Pptx Reader Async
• Tavily Reader
• Tavily Reader Async
• Web Reader
• Web Search Reader
• Web Search Reader Async
• Website Reader
• Hybrid Search
• Keyword Search
• Search Type
• Vector Search
• Cassandra Database
• Chroma Database
• Chroma db hybrid search
• ClickHouse Database
• Couchbase Vector DB Example
• LanceDB Database
• LanceDB Cloud connection test.
• LanceDB Hybrid Search
• LanceDB With Mistral Embedder
• LangChain Vector DB
• LightRAG Vector DB
• LlamaIndex Vector DB
• Milvus Database
• Milvus Hybrid Search
• Milvus Range Search
• Cosmos MongoDB vCore
• MongoDB Vector DB
• MongoDB Hybrid Search
• PgVector Database
• PgVector Hybrid Search
• AWS Bedrock Reranker Example with PgVector
• Pinecone Database
• Qdrant Database
• Qdrant Hybrid Search
• Redis Vector DB
• Redis With Cohere Reranker
• SingleStore Vector DB
• SurrealDB Vector DB
• Upstash Vector DB
• Weaviate Db
• Weaviate Vector DB
• Weaviate Hybrid Search
• Weaviate Upsert
• Entity Memory: Always Mode
• Session Context: Summary Mode
• User Memory: Always Mode
• User Profile: Always Mode
• Entity Memory: Agentic Mode
• Session Context: Planning Mode
• User Memory: Agentic Mode
• User Profile: Agentic Mode
• Learned Knowledge: Agentic Mode
• Basics
• Custom Store: Database-Backed Example
• Custom Store: Minimal Example
• Custom Stores
• Decision Logs: Basic Usage
• Decision Logs: ALWAYS Mode (Automatic Logging)
• Decision Logs
• Entity Memory: Relationships (Deep Dive)
• Entity Memory: Facts and Events (Deep Dive)
• Entity Memory
• Learned Knowledge: Agentic Mode (Deep Dive)
• Learned Knowledge
• Learned Knowledge: Propose Mode (Deep Dive)
• Learning
• Patterns
• Pattern: Personal Assistant with Learning
• Pattern: Support Agent with Learning
• Async User Profile Test
• Claude Model Test
• Learning=True Shorthand Test
• No-DB Graceful Handling Test
• Quick Tests
• Learning Machines: Agentic Mode
• Learning Machines
• Learning Machines: Learned Knowledge
• Quickstart
• Session Context
• Session Context: Planning Mode (Deep Dive)
• Session Context: Summary Mode (Deep Dive)
• User Profile: Agentic Mode (Deep Dive)
• User Profile: Always Extraction (Deep Dive)
• User Profile: Custom Schema
• User Profile
• Agent With Persistent Memory
• Agentic Memory Management
• Agents Sharing Memory
• Custom Memory Manager Configuration
• Custom Memory Capture Instructions
• Control Memory Database Tools
• Create Memories From Text and Message History
• Search User Memories
• Memory Manager
• Standalone Memory Manager CRUD
• Memory Tools With Web Search
• Multi-User Multi-Session Chat
• Concurrent Multi-User Multi-Session Chat
• Custom Memory Optimization Strategy
• Optimize Memories With Summarize Strategy
• Optimize Memories
• Memory
• Share Memory and History Between Agents
• Aimlapi Basic
• Aimlapi Image Agent
• Aimlapi Image Agent Bytes
• Aimlapi Image Agent With Memory
• Aimlapi
• Example demonstrating how to set up retries with AIMLAPI.
• Aimlapi Structured Output
• Aimlapi Tool Use
• Anthropic Basic
• Anthropic Basic With Timeout
• Example demonstrating how to use Anthropic beta features.
• Anthropic Code Execution
• Self-managed Context Management
• Anthropic Csv Input
• Anthropic Db
• Anthropic Financial Analyst Thinking
• Anthropic Image Input Bytes
• Anthropic Image Input File Upload
• Anthropic Image Input Local File
• Anthropic Image Input Url
• Anthropic Knowledge
• Anthropic Mcp Connector
• This recipe shows how to use personalized memories and summaries in an agent.
• Anthropic Pdf Input Bytes
• Anthropic Pdf Input File Upload
• Anthropic Pdf Input Local

Note: this index was truncated to stay under 100,000 characters; 2370 pages and 1 OpenAPI spec omitted.