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OpenMake LLM: Self-Hosted AI Workspace for Local and Open-Weight LLMs
OpenMake LLM is an open-source, self-hosted AI workspace for local and open-weight LLMs. It coordinates specialized models, autonomous agents, and tools for deep research and artifact generation. This platform supports vLLM, LiteLLM, and BYOK providers, offering a robust environment for managing AI workloads.
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OpenMake LLM: Self-Hosted AI Workspace for Local and Open-Weight LLMs
OpenMake LLM is an open-source, self-hosted AI workspace for local and open-weight LLMs. It coordinates specialized models, autonomous agents, and tools for deep research and artifact generation. This platform supports vLLM, LiteLLM, and BYOK providers, offering a robust environment for managing AI workloads.
Agent Anvil: CI-First Evaluation Harness for Tool-Using AI Agents
Agent Anvil is a robust, CI-first evaluation harness designed for AI agents that utilize tools. It meticulously runs scenario suites, captures detailed traces of agent behavior, and provides semantic grading to identify issues. The platform excels at clustering failures and suggesting concrete fixes for prompts, tools, and guardrails, ensuring agents behave safely and effectively.
ZenNotes: Keyboard-First Markdown Notes with Vim, Diagrams, and MCP Integration
ZenNotes is a versatile, keyboard-first Markdown notes app designed for speed and flexibility. It stores notes as plain Markdown files, offering Vim-friendly editing, diagram support, and integration with MCP tools. Available as a desktop app (Electron) and a self-hosted web app, ZenNotes provides a powerful solution for organizing your thoughts.
VeRL-Omni: Multimodal RL Training Framework for Diffusion & Omni Models
VeRL-Omni is a powerful RL training framework designed specifically for multimodal generative models, including diffusion models and omni-modality models. Built on top of the `verl` project, it offers easy, fast, and stable training solutions for complex generative AI tasks. The framework addresses unique challenges in multimodal RL, providing optimized performance and stability.
Uni-Agent: A Scalable Framework for Training Long-Horizon AI Agents
Uni-Agent is a powerful Python framework designed for training long-horizon agents at scale. It allows users to integrate existing agent harnesses, unify diverse agent tasks through an extensible interface, and run thousands of sessions concurrently for efficient data collection and training.
OpenCompany: Run a Hive Mind of AI Agents for Your Business
OpenCompany is a Rust-powered platform that enables a single operator to run an entire business using a "hive mind" of AI agents. It orchestrates specialized agents to handle various company functions, allowing the human operator to focus on vision and critical decisions. This innovative approach moves beyond traditional multi-agent systems, fostering concurrent deliberation and task completion.
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cv: A Print-Friendly, Minimalist CV Page Built with Next.js and TypeScript
The `cv` repository by Bartosz Jarocki offers a clean and modern web application for rendering a minimalist, print-friendly CV or resume. Built with Next.js 14 and TypeScript, it emphasizes a professional layout and optimized performance. Users can easily customize all resume data through a single configuration file, making it simple to maintain and update.
JailbreakEval: An Integrated Toolkit for Evaluating LLM Jailbreak Attempts
JailbreakEval is an award-winning collection of automated evaluators designed to assess jailbreak attempts against large language models. It addresses the impracticality of manual inspection for large-scale analysis by unifying various evaluation tools. This toolkit is invaluable for both jailbreak researchers and evaluator developers, offering a robust framework for creating and benchmarking new evaluators.
whisper.cpp: High-Performance Speech Recognition with OpenAI's Whisper Model
whisper.cpp is a high-performance C/C++ port of OpenAI's Whisper automatic speech recognition (ASR) model. It offers efficient, dependency-free inference across a wide range of platforms, from desktop to mobile and embedded devices. This project enables fast, local speech-to-text capabilities, making advanced AI accessible for various applications.
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