Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
- ai-agent
- chat-ui
- dashboard
- hermes-agent
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Ekko Studio is a local-first AI workspace for multi-agent chat, coding, and visual workflows, available on desktop and the web.
Official JavaScript / TypeScript library for the OpenAI API
Kimi K2 is the large language model series developed by Moonshot AI team
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
QLoRA: Efficient Finetuning of Quantized LLMs
https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
A collection of GPT system prompts and various prompt injection/leaking knowledge.
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
OpenAI, GPT 6.1, GPT-Image-2, Whisper API clients for Go. Zero-dependency.
Integrating ChatGPT into your browser deeply, everything you need is here
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Ollama Python library
🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
the LLM vulnerability scanner
Jev-like family of decision models built on top of Qwen3.5/3.8 you can train and run on your own
The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.
World's first open-source enterprise world model.
A collection of libraries to optimise AI model performances
Observability and enforcement for AI agent harnesses. Capture every run and runtime reliability with policy enforcement.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Vibe code with pi in a lightweight, real IDE that customises itself around the way you work — The Vibe You Need