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dart_agent_core
memex-lab March 5, 2026
11 copies 0 downloads
Dart framework for stateful AI agents — tool use, skills, sub-agent delegation, planning, streaming, and multi-provider LLM support (OpenAI, Gemini, Bedrock).
Agent Definition
<div align="center"> # Dart Agent Core **A mobile-first, local-first Dart library for building stateful, tool-using AI agents** [English](README.md) | [简体中文](README.zh-CN.md) [](https://pub.dev/packages/dart_agent_core) [](LICENSE) [](https://pub.dev/packages/dart_agent_core) </div> `dart_agent_core` is a mobile-first, local-first Dart library that implements an agentic loop with tool use, state persistence, and multi-turn memory. It connects to LLM APIs (OpenAI, Gemini, AWS Bedrock) and handles the orchestration layer — tool calling, streaming, context management, and sub-agent delegation — entirely in Dart, which makes it suitable for use in Flutter apps without a Python or Node.js backend. --- ## Features - **Multi-provider support**: Unified `LLMClient` interface for OpenAI (Chat Completions & Responses API), Google Gemini, and Anthropic Claude via AWS Bedrock. - **Tool use**: Wrap any Dart function as a tool with a JSON Schema definition. The agent dispatches calls, feeds results back, and loops until done. Tools can return `AgentToolResult` to carry multimodal content, metadata, or a stop signal. - **Multimodal input**: `UserMessage` accepts text, images, audio, video, and documents as content parts. Model responses can include text, images, video, and audio. - **Stateful sessions**: `AgentState` tracks conversation history, token usage, active skills, plan, and custom metadata. `FileStateStorage` persists state to disk as JSON. - **Streaming**: `runStream()` yields `StreamingEvent`s for model chunks, tool call requests/results, and retries — suitable for real-time UI updates in Flutter. - **Pure Dart Skills**: Define modular capabilities (`Skill`) with their own system prompts and tools. Ski
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