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ollama
话题找到数量
JetBrains/koog
Koog是官方Kotlin框架,用于在所有平台上构建和运行稳健、可扩展且满足生产就绪要求的AI智能体——从后端服务到Android与iOS、JVM乃至浏览器环境均可部署。该框架基于我们在AI产品领域的专业经验,针对复杂的LLM与人工智能问题提供了经过实践验证的解决方案。
nyldn/claude-octopus
面向Claude Code的多触手协调器——整合Codex CLI与Gemini CLI,通过智能上下文路由实现并行任务执行
raullenchai/Rapid-MLX
专为Apple Silicon打造的最快本地AI引擎。比Ollama快4.2倍,缓存TTFT仅0.08秒,100%工具调用。支持17种工具解析器、提示缓存、推理分离与云路由。可直接替代OpenAI,兼容Claude Code、Cursor、Aider。
PurpleDoubleD/locally-uncensored
即插即用的本地人工智能工作室:未经审查的聊天、图像和视频生成、编码代理。 Runs abliterated LLMs + ComfyUI 100% offline. One installer, no Docker, no cloud.
datawhalechina/handy-ollama
动手学Ollama,在CPU上玩转大模型部署,在线阅读地址:https://datawhalechina.github.io/handy-ollama/
techjarves/Portable-AI-USB
一款 100% 离线、完全便携、零痕迹的 AI(Ollama + Llama 3 + AnythingLLM),可在 Windows 和 Mac 上从 USB 驱动器原生运行。
carloslfu/slotstream
Run a 105 GB AI model on a Mac that can't hold it. Qwen3.8-Flash-Next 4-bit, streamed from SSD on 16–64 GB Apple Silicon Macs. Fully native Swift, MLX and Metal. Offline, no Python. CLI, Swift library, and Ollama/OpenAI/Anthropic APIs. Works with Claude Code and Codex.
aayushch/laya
Laya is an open-source, local-first AI notification command center that aggregates Slack, Gmail, GitHub, Jira, Notion, Outlook, Calendar (and more) notifications using local LLMs via Ollama and LM Studio. Supports cloud models via BYOK.