Repository History

138 repositories tagged with LLM

Topic: LLM
OGAD: Private, On-Device AI with an OpenAI-Compatible Local Gateway

OGAD: Private, On-Device AI with an OpenAI-Compatible Local Gateway

OGAD (Off Grid AI Desktop) is an open-source, AGPL-licensed application for private, on-device AI. It enables users to run various open models, including text, vision, image, and voice, entirely locally through a single OpenAI-compatible gateway. This ensures complete data privacy with no cloud dependencies, accounts, or API keys.

Analyzed Sep 4, 2026
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agent.cpp: Building Local LLM Agents with C++ and llama.cpp

agent.cpp: Building Local LLM Agents with C++ and llama.cpp

agent.cpp provides essential building blocks for developing local AI agents using C++. It leverages llama.cpp to enable efficient execution of small language models directly on your hardware. This library offers a modular approach with features like agent loops, callbacks, tools, and grammar-constrained output, making it ideal for creating custom, privacy-focused agent solutions.

Analyzed Sep 3, 2026
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EnvHarness: Dynamically Adapting Environments for Agent Learning

EnvHarness: Dynamically Adapting Environments for Agent Learning

EnvHarness empowers large language models (LLMs) acting as autonomous agents to learn more effectively from interactive environments. It achieves this by wrapping static environments with plug-in components, making them dynamically controllable without altering their internal code. This innovative approach allows environments to target specific agent weaknesses and continuously teach as agents improve, leading to more effective and efficient learning outcomes.

Analyzed Sep 3, 2026
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TrueForge: The Open-Source Agent Harness for LLM-Powered Agents

TrueForge: The Open-Source Agent Harness for LLM-Powered Agents

TrueForge is an open-source agent harness designed to transform large language models (LLMs) into fully functional agents. It provides the essential runtime layer, handling complex aspects like streaming, session persistence, tool servers, and sandboxing. Developers can leverage TrueForge to build and deploy robust, scalable AI agents with ease.

Analyzed Sep 1, 2026
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claude-video: Empowering Claude to Watch and Analyze Any Video Content

claude-video: Empowering Claude to Watch and Analyze Any Video Content

The claude-video repository provides a powerful tool, `/watch`, enabling Claude to process and understand video content. It automates the download, frame extraction, and transcription of any video, feeding this rich data to Claude. This allows Claude to answer questions and provide insights grounded in what it has actually seen and heard.

Analyzed Aug 27, 2026
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Craft Agents: An Agent-Native Desktop App for LLM Interaction

Craft Agents: An Agent-Native Desktop App for LLM Interaction

Craft Agents is an open-source desktop application designed for effective interaction with large language model (LLM) agents. It enables intuitive multitasking, seamless connection to any API or service, and a document-centric workflow within a fluid user interface. Built with agent-native software principles, it offers high customizability and supports multiple LLM providers.

Analyzed Aug 27, 2026
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Ouroboros: A Self-Evolving AI Agent for Autonomous Development

Ouroboros: A Self-Evolving AI Agent for Autonomous Development

Ouroboros is an open-source, general-purpose AI agent designed for autonomous development and self-evolution. It maintains identity and memory across tasks and restarts, capable of modifying its own code, architecture, and tools. This agent can coordinate specialist subagents and operate on external projects, offering both desktop and headless CLI interfaces.

Analyzed Aug 26, 2026
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ds4: A Fast Local Inference Engine for DeepSeek V4 Flash and PRO on Metal, CUDA, ROCm

ds4: A Fast Local Inference Engine for DeepSeek V4 Flash and PRO on Metal, CUDA, ROCm

ds4 is a highly optimized, native inference engine designed for DeepSeek V4 Flash and PRO models. It provides efficient local inference across various hardware platforms, including Apple Silicon (Metal), NVIDIA GPUs (CUDA), and AMD ROCm. This project focuses on delivering high performance for large language models on consumer-grade machines.

Analyzed Aug 26, 2026
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taOS: Self-Hosted AI Agent OS for Your Hardware and Data Sovereignty

taOS: Self-Hosted AI Agent OS for Your Hardware and Data Sovereignty

taOS is a self-hosted AI agent operating system designed to keep your AI's memory, chats, agents, and files on your own hardware, prioritizing privacy and data sovereignty. It offers a full web desktop, a multi-framework group chat, and the ability to auto-cluster various consumer hardware like Raspberry Pi, Mac mini, and gaming PCs into a distributed AI compute mesh. This platform empowers users with local-first AI capabilities, offline by default and cloud by choice.

Analyzed Aug 25, 2026
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Athena-Public: Your Local-First Agentic PKM for Smarter AI Decisions

Athena-Public: Your Local-First Agentic PKM for Smarter AI Decisions

Athena-Public is a powerful local-first agentic Personal Knowledge Management (PKM) system designed to enhance your decision-making. It provides persistent memory, structured reasoning, and governed AI agents that operate across various Large Language Models. This unique approach allows you to own your data and context, while renting the intelligence from any LLM.

Analyzed Aug 25, 2026
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dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

The `dify-official-plugins` repository hosts a collection of official plugins for Dify, an open-source platform for developing LLM-powered AI applications. These plugins, including models, tools, agent strategies, and extensions, enhance Dify's capabilities and are maintained by the official Dify team. They are designed to help developers efficiently build, deploy, and manage AI-driven solutions.

Analyzed Aug 18, 2026
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A-MEM: Self-Evolving Memory for Coding Agents

A-MEM: Self-Evolving Memory for Coding Agents

A-MEM is an innovative self-evolving memory system designed for coding agents, organizing knowledge into a dynamic Zettelkasten-style graph. It allows memories to evolve and connect over time, enhancing an agent's ability to recall and utilize information effectively. This system offers both semantic and structural search capabilities for a richer knowledge base.

Analyzed Aug 17, 2026
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