Repository History
214 repositories tagged with AI
XGrammar: Fast, Flexible, and Portable Structured Generation for LLMs
XGrammar is an open-source library for efficient, flexible, and portable structured generation, developed by mlc-ai. It leverages constrained decoding to guarantee 100% structural correctness for outputs like JSON and regex. Optimized for near-zero overhead, XGrammar offers universal deployment across various platforms, hardware, and programming languages, making it a leading solution for structured output from large language models.
FreeLLMAPI: Stack 16 Free LLM Tiers for 1.7 Billion Tokens/Month
FreeLLMAPI is an OpenAI-compatible proxy that aggregates the free tiers of 16 LLM providers, offering access to approximately 1.7 billion tokens per month. It simplifies access to diverse models through a single endpoint, featuring smart routing, automatic failover, and encrypted key storage. This powerful tool is designed for personal experimentation, allowing developers to leverage multiple free LLM resources efficiently.
Jsonformer: Bulletproof Structured JSON Generation from Language Models
Jsonformer is a powerful library designed to generate syntactically correct and schema-conforming JSON from language models. It addresses the common challenge of unreliable JSON output by focusing on generating only content tokens, making the process more efficient and robust. This approach ensures bulletproof structured data generation for various applications.
Hiring Agent: An AI Agent for Resume Evaluation and Scoring
Hiring Agent is an open-source AI agent designed to evaluate and score resumes objectively. It extracts structured data from PDF resumes, enriches it with GitHub profile signals, and provides a fair, explainable evaluation with detailed scores and evidence. This tool supports both local LLMs via Ollama and cloud-based options like Google Gemini.
Headroom: Drastically Reduce LLM Token Usage for AI Agents
Headroom is an innovative context compression layer for AI agents, designed to significantly reduce token usage for LLMs. It achieves 60-95% fewer tokens across various inputs like tool outputs, logs, files, and RAG chunks, all while preserving answer accuracy. This powerful tool enhances efficiency and cost-effectiveness for AI interactions.
Voicebox: The Open-Source AI Voice Studio for Cloning and Dictation
Voicebox is an innovative open-source AI voice studio that allows users to clone voices, generate speech in multiple languages, and dictate into any application. It provides a comprehensive, local-first voice I/O stack, offering a powerful alternative to cloud-based solutions. This tool ensures complete privacy and control over your voice data, running entirely on your local machine.
Dexter: An Autonomous Agent for Deep Financial Research
Dexter is an autonomous financial research agent designed to think, plan, and learn while performing analysis. It leverages task planning, self-reflection, and real-time market data to tackle complex financial questions. This project provides a powerful tool for in-depth financial exploration, emphasizing its educational and informational purposes.
PixelRAG: Pixel-Native Search for Visual Retrieval-Augmented Generation
PixelRAG revolutionizes search by enabling pixel-native retrieval, moving beyond traditional text parsing. It renders documents as screenshots, preserving visual context like tables and charts, which is crucial for accurate answers from reader models. This allows for searching any document based on its visual appearance, not just its textual content.
GLM-5: Flagship Models for Long-Horizon Agentic Engineering
GLM-5 is a series of flagship models, including GLM-5.2, GLM-5.1, and GLM-5, developed by zai-org for complex systems engineering and long-horizon agentic tasks. These models offer advanced coding capabilities, impressive context lengths, and state-of-the-art performance on various benchmarks. They are designed to sustain effective problem-solving over extended sessions through iterative reasoning and strategy revision.
Synara: A Local-First Desktop App for AI-Powered Coding
Synara is a local-first desktop application designed to streamline coding with various AI agents and subscriptions. It integrates chats, terminals, browser previews, and Git operations into a single focused workspace, eliminating the need to juggle multiple windows. This app empowers developers to leverage their existing AI tools for parallel work across projects while maintaining a private, local environment.
Qwen3-VL: A Powerful Multimodal Large Language Model Series
Qwen3-VL is a cutting-edge multimodal large language model series from Alibaba Cloud's Qwen team. It offers significant advancements in visual and text understanding, extended context length, and enhanced agent capabilities. This model is designed for flexible deployment, scaling from edge to cloud.
Understand-Anything: Interactive Knowledge Graphs for Codebases
Understand-Anything is an innovative open-source project that transforms any codebase or knowledge base into an interactive knowledge graph. It allows developers to visually explore, search, and query their projects, making complex systems easier to comprehend. This tool integrates seamlessly with popular AI coding platforms like Claude Code, Codex, and Copilot.