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component for AI agents with persistent chat threads, tool calling, streaming, and RAG.","maintainers":[{"name":"cowling","email":"james@convex.dev"},{"name":"jordanhunt","email":"jordan@convex.dev"},{"name":"gautamg795","email":"gautam@convex.dev"},{"name":"emmaling27","email":"emma@convex.dev"},{"name":"nipunn","email":"nipunn1313@gmail.com"},{"name":"aritrakh","email":"aritrakh@gmail.com"},{"name":"ianatconvex","email":"ian@convex.dev"},{"name":"dowski-convex","email":"christian@convex.dev"},{"name":"reece-convex","email":"reece@convex.dev"},{"name":"timdoug-convex","email":"timdoug@convex.dev"},{"name":"ayushdewanconvex","email":"ayush@convex.dev"},{"name":"erquhart","email":"shawn@erquh.art"},{"name":"sethconvex","email":"seth@convex.dev"},{"name":"andycai-convex","email":"andy@convex.dev"},{"name":"mikewheaton","email":"mike@wheaton.dev"},{"name":"jamwt","email":"jamwt@convex.dev"},{"name":"nicolapps","email":"nicolas@ettlin.dev"}],"readme":"# Convex Agent Component\n\n[![npm version](https://badge.fury.io/js/@convex-dev%2fagent.svg)](https://badge.fury.io/js/@convex-dev%2fagent)\n\nBuild AI agents on Convex with persistent chat threads, tool calling, streaming,\nand RAG. Long-running agent workflows stay separate from the UI while clients\nkeep reactive updates.\n\n```sh\nnpm i @convex-dev/agent\n```\n\n\n\nAI Agents, built on Convex.\n[Check out the docs here](https://docs.convex.dev/agents).\n\nThe Agent component manages threads and messages that agents can use in static\nor dynamic workflows.\n\n- [Agents](https://docs.convex.dev/agents/agent-usage) provide an abstraction\n for using LLMs to represent units of use-case-specific prompting with\n associated models, prompts,\n [Tool Calls](https://docs.convex.dev/agents/tools), and behavior in relation\n to other Agents, functions, APIs, and more.\n- [Threads](https://docs.convex.dev/agents/threads) persist\n [messages](https://docs.convex.dev/agents/messages) and can be shared by\n multiple users and agents (including\n [human agents](https://docs.convex.dev/agents/human-agents)).\n- Streaming text and objects using deltas over websockets so all clients stay in\n sync efficiently, without http streaming. Enables streaming from async\n functions.\n- [Conversation context](https://docs.convex.dev/agents/context) is\n automatically included in each LLM call, including built-in hybrid vector/text\n search for messages in the thread and opt-in search for messages from other\n threads (for the same specified user).\n- [RAG](https://docs.convex.dev/agents/rag) techniques are supported for prompt\n augmentation from other sources, either up front in the prompt or as tool\n calls. Integrates with the\n [RAG Component](https://www.convex.dev/components/rag), or DIY.\n- [Workflows](https://docs.convex.dev/agents/workflows) allow building\n multi-step operations that can span agents, users, durably and reliably.\n- [Files](https://docs.convex.dev/agents/files) are supported in thread history\n with automatic saving to [file storage](https://docs.convex.dev/file-storage)\n and ref-counting.\n- [Debugging](https://docs.convex.dev/agents/debugging) is enabled by callbacks,\n the [agent playground](https://docs.convex.dev/agents/playground) where you\n can inspect all metadata and iterate on prompts and context settings, and\n inspection in the dashboard.\n- [Usage tracking](https://docs.convex.dev/agents/usage-tracking) is easy to set\n up, enabling usage attribution per-provider, per-model, per-user, per-agent,\n for billing & more.\n- [Rate limiting](https://docs.convex.dev/agents/rate-limiting), powered by the\n [Rate Limiter Component](https://www.convex.dev/components/rate-limiter),\n helps control the rate at which users can interact with agents and keep you\n from exceeding your LLM provider's limits.\n\n[Read the associated Stack post here](https://stack.convex.dev/ai-agents).\n\n[![Powerful AI Apps Made Easy with the Agent Component](https://thumbs.video-to-markdown.com/b323ac24.jpg)](https://youtu.be/tUKMPUlOCHY)\n**Read the [docs](https://docs.convex.dev/agents) for more details.**\n\nPlay with the example:\n\n```sh\ngit clone https://github.com/get-convex/agent.git\ncd agent\nnpm run setup\nnpm run dev\n```\n\nFound a bug? Feature request?\n[File it here](https://github.com/get-convex/agent/issues).\n\n\n\n[![DeepWiki](https://deepwiki.com/badge.svg)](https://deepwiki.com/get-convex/agent)\n","readmeFilename":"README.md"}