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StatsPAI is an open-source Python platform designed for causal inference and applied econometrics, featuring a unified API, extensive method coverage, structured result objects, and machine-readable schemas. It is built with AI agents in mind, providing discovery metadata for its functions and validation statuses for certified numerical evidence.
A new research paper investigates the use of transformer model activations for selecting in-context examples in large language models. The study, which includes a comprehensive analysis using Llama-3.2-3B and Qwen2.5-3B, found that MLP outputs based on massive activations or statistical moments do not correlate with example quality or task performance, suggesting that this approach is not effective for in-context learning.
Opilot is a VS Code extension that allows users to run Ollama models, both local and cloud-based, directly within the GitHub Copilot Chat interface. It provides features like model management, per-model settings, tool calling, and vision support.
ClawMax is a web-based orchestration platform designed for OpenClaw AI agents, enabling users to manage, monitor, and coordinate agent teams and workflows. It supports local and self-hosted model integration, including OpenAI-compatible APIs like LM Studio and Ollama.
ANARCHY is an open-source, fully local AI shell that operates without cloud services or API keys. It integrates Ollama and GGUF models, RAG, voice input, and a task scheduler, offering a comprehensive offline AI development environment across multiple operating systems.
Gnoma is an agentic coding assistant written in Go that offers provider-agnostic routing across various cloud (Anthropic, OpenAI, Gemini, Mistral) and local (Ollama, llama.cpp) large language models. It features a multi-armed bandit router for dynamic model selection, extensibility via MCP, skills, hooks, and plugins, and includes privacy-focused features like secret scanning and a no-phone-home policy.