2 个仓库
Jupyter-like sessions that maintain state across multiple code executions with multimodal feedback.
Distinct from Python Execution Sandboxes: Distinct from Python Execution Sandboxes: focuses on persistent session state and multimodal output capture, not just isolated execution.
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mistral.rs is an inference engine for large language models that runs locally and exposes models behind OpenAI and Anthropic-compatible APIs. It serves as a multi-model serving platform, capable of loading several models in a single server process with per-request routing and on-demand loading and unloading. The engine supports multimodal inference, processing text alongside images, video, audio, and speech inputs, and includes a quantized model deployment runtime that reduces memory use and speeds up inference on consumer hardware. The project distinguishes itself through an agentic tool exe
Provides persistent Python sessions with state retention and multimodal output for agentic workflows.
gptme 是一个多智能体编排平台,专为自主软件工程、终端 AI 集成和 RAG 增强的代码导航而设计。它支持部署持久化智能体和专用子智能体,以分解复杂任务并执行并行技术工作流。 该系统通过结合用于控制桌面应用的基于视觉的 GUI 自动化和用于目标源代码修改的外科手术式补丁机制,展现出其独特之处。它利用基于 Git 的内存管理来维护智能体身份、经验和工作区状态的版本化历史。 其更广泛的能力涵盖跨本地和云 AI 后端的与提供商无关的模型路由、用于本地上下文的语义检索,以及集成模型上下文协议(MCP)以动态加载外部工具。该项目还包括一个用于自动化调试、重构和 GitHub 仓库管理的综合软件工程套件。 该平台可通过 Docker 容器作为自托管服务器部署,具有基于 Web 的聊天界面和容器化桌面渲染功能。
Maintains state across multiple code executions using persistent IPython sessions for structured data handling.