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OpenRouter, but for agent tools instead of models.
Build your own AI SRE agents. The open source toolkit for the AI era.
#363 · +82 · 1d ·GitHub
Build AI agents that run 100% on-device. Sub-100ms latency on Qualcomm NPU. Zero cloud dependency.
#577 · +50 · 1d ·GitHub
0 is a production-ready, easy-to-use agent framework with essential abstractions that keep up with rising model capability.
pth） - 支持跨不同 GPU 数量恢复（自动调整 step） - 支持 wandb 训练记录连续性（自动恢复同一个 run）
An open-source AI Coding Agent CLI and a drop-in alternative to Claude Code CLI.
#1360 · +18 · 1d ·GitHub
This course is intended to provide you with a comprehensive step-by-step understanding of how to engineer optimal prompts within Claude.
#1489 · +16 · 1d ·GitHub
The OpenAI Agents SDK is a lightweight yet powerful framework for building multi-agent workflows. It is provider-agnostic, supporting the OpenAI Responses and Chat Completions APIs, as well as 100+ other LLMs.
Automation foundation model for tiny devices: 2-bit, 8-29 MB, tool calls, ASR, structured extraction and embeddings on phones, wearables, smart homes, robots, cars and microcontrollers.
#1722 · +14 · 1d ·GitHub
8-27B bf16 (130 tok/s), 262k context, prefix caching. Works with Claude Code, Codex, opencode and pi.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
#2414 · +8 · 1d ·GitHub
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
0) OpenAI- and Anthropic-compatible LLM inference server for Apple Silicon, built on MLX, focused on reliable tool calling for coding agents. Up to 4× faster than Apple's MLX (mlx-lm) on the same weights.
Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python.
Anthropic's educational courses
Open-source desktop app for local LLMs. Text, vision, tool-calling, OpenAI/Anthropic-compatible API. 100% private.
> > ## OpenWorker > A desktop AI coworker, built on aisuite — now in its own repository: andrewyng/openworker.
The missing integration layer for AI agents. Let them call any OpenAPI / MCP / GraphQL / custom js functions in secure environment.
#4152 · +3 · 1d ·GitHub
Learn to build AI agents locally without frameworks. Understand what happens under the hood before using production frameworks.
NobodyWho is an inference engine that lets you run LLMs locally and efficiently on any device.
#4193 · +3 · 1d ·GitHub
js, AI SDK, shadcn/ui, shadcn/react, shadcn/typeset. It runs on the Vercel AI Gateway.
The free AI already on your Mac. CLI tool, OpenAI-compatible server, and interactive chat — all on-device via Apple Intelligence. No API keys, no cloud, no downloads.
verl/HybridFlow: A Flexible and Efficient RL Post-Training Framework
Guidance is an efficient programming paradigm for steering language models. With Guidance, you can control how output is structured and get high-quality output for your use case—while reducing latency and cost vs. conventional prompting or fine-tuning.
Kimi K2 is the large language model series developed by Moonshot AI team
#5938 · +1 · 1d ·GitHub
🦞 OpenClaw (Clawdbot/Moltbot) 汉化版 - 开源个人 AI 助手中文版 | Claude/ChatGPT LLM 接入 | WhatsApp/Telegram/Discord 多平台 | 每小时自动同步 | CLI + Dashboard 全中文 | 全流程搭建教程，以及排错指南！
#5953 · +1 · 1d ·GitHub
Agent-SDK without CLI dependencies, as an alternative to claude-agent-sdk, completely open source
#5963 · +1 · 1d ·GitHub
For example, a proxy operations manager can send serialized operations to a local operations manager running in a process inside a remote sandbox, allowing tools to execute there.
NeoHorse is TokenRhythm's family of open-weight models for agent workflows. NeoHorse-1 provides 4B and 9B language models for tool use, coding, and instruction following. NeoHorse-Jev builds on NeoHorse-1-4B to make structured decisions through prefill-only inference.