Open-source AI agents, trust-scored with autonomy and sandbox awareness. 16 agents available.
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In this sample, we will demonstrate how to build simple chat interface that interacts with a Core agent or a team, using Chainlit, and support streaming message
In this sample, we will demonstrate how to build simple chat interface that interacts with an AgentChat agent or a team, using Chainlit, and support streaming m
In this sample, we will build a chat interface that interacts with an intelligent agent built using the AutoGen AgentChat API and the GraphRAG framework.
This sample demonstrates how to build a streaming chat API with multi-turn conversation history using autogen-core and FastAPI.
This template contains two main components: - A standalone MCP (Model Context Protocol) server that exposes documentation tools for consumption by any MCP clien
A Mastra template for building Slack bots powered by AI agents with streaming responses and thread-based conversation memory. Each agent gets its own Slack app
An AI assistant that helps you understand YouTube videos. Paste a link and ask questions, get summaries, or generate chapter timestamps — all backed by the actu
Chatbot with Memory Review Memory is a cognitive function that allows people to store, retrieve, and use information to understand their present and future. The
Assistants Assistants give developers a quick and easy way to modify and version agents for experimentation. Supplying configuration to the graph Our task_maist
Filtering and trimming messages Review Now, we have a deeper understanding of a few things: * How to customize the graph state schema * How to define custom sta
Chatbot with message summarization Review We've covered how to customize graph state schema and reducer. We've also shown a number of ways to trim or filter mes
Chatbot with Profile Schema Review We introduced the LangGraph Memory Store as a way to save and retrieve long-term memories. We built a simple chatbot that use
Memory Agent Review We created a chatbot that saves semantic memories to a single user profile or collection. We introduced Trustcall as a way to update either
Chatbot with message summarization & external DB memory Review We've covered how to customize graph state schema and reducer. We've also shown a number of trick
Chatbot with Collection Schema Review We extended our chatbot to save semantic memories to a single user profile. We also introduced a library, Trustcall, to up
Streaming Review In module 2, covered a few ways to customize graph state and memory. We built up to a Chatbot with external memory that can sustain long-runnin