Private local model studio, AI chat, and agent workspace powered by WebGPU and WebLLM.
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Updated
Aug 12, 2026 - TypeScript
Private local model studio, AI chat, and agent workspace powered by WebGPU and WebLLM.
Detect and redact PII locally with SOTA performance
Extract structured data from local or remote LLM models
evidence-backed guidance for coding agents in production software, from individual projects to startups and big tech.
A chrome extention for quering a local llm model using llama-cpp-python, includes a pip package for running the server, 'pip install local-llama' to install
entirely oss and locally running version of recall (originally revealed by msft for copilot+pcs)
A simple framework for using Claude Code or Codex CLI as the frontend to any cloud or local LLM on Apple Silicon. Connect locally via LiteLLM + MLX or LM Studio, or remotely via Z.AI, Gemini/Google AI Studio, DeepSeek, or OpenRouter.
Make the leaked Claude Code runnable with unified local model support.
A small VLM that sees everything
Bell inequalities and local models via Frank-Wolfe algorithms
A 💅 stylish 💅 local multi-model AI assistant and API.
The AI-OS in userspace.
LiAgent OS is a local-first AI agent OS for building a private personal assistant with governed autonomy across local models and hybrid cloud services. It brings conversation, tool use, multi-agent orchestration, task scheduling, heartbeat execution, human approval, and auditability into one long-lived loop.
Applied Geometric Intelligence (AGI) - See papers for specifics
An open-source AI Software Engineer CLI and terminal coding assistant built in Go.
Main code chunks used for models in the publication "Exploring the Potential of Adaptive, Local Machine Learning (ML) in Comparison ton the Prediction Performance of Global Models: A Case Study from Bayer's Caco-2 Permeability Database"
Facts the model cannot know -- the date, the machine, and your git state -- delivered to pi as <pi-note> blocks.
Auto-discover local model providers (Ollama) and register their models with Pi on startup. Per-model context windows and capabilities, no /reload required.
Give a local model one bounded job. Keep the final decision in Copilot.
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