A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
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Updated
May 22, 2026 - Python
A Python framework for self-hosted LLM tool-calling and multi-step agentic workflows
Create an IRC chat bot powered by AI, using llamafile, in minutes.
A simple github actions script to build a llamafile and uploads to huggingface
This repository demonstrates LLM execution on CPUs using packages like llamafile, emphasizing low-latency, high-throughput, and cost-effective benefits for inference and serving.
Portable offline AI kit on a USB SSD — run LLM chat + Wikipedia + encrypted vault anywhere. No internet, no install, no subscriptions. Windows/macOS/Linux/Android/iOS. Powered by Qwen3 + llamafile.
👾 Self-Healing AI Terminal Assistant — 100% local, offline-capable, privacy-first. Multi-tier LLM (llamafile/GGUF), auto-fix with FixNet consensus, 80+ commands. No cloud, no API keys needed.
Gathering insights from Common Crawl using Apache Spark and LLMs.
Training materials on how to deploy generative AI models locally on your laptop or workstation.
Deterministic local-first AI operator runtime with receipts, replay, rollback, ranked memory, llamafile CPU driven execution, swappable intelligence cognition core, and sandboxed self-improvement.
An offline knowledge library on a USB drive. Wikipedia, Stack Exchange, Gutenberg, and Khan Academy, plus a local LLM that answers questions using those sources as context. Works on any computer, no internet required.
This repository dockerizes the LlamaFile application for consistent deployment and management across environments.
Run a fully private, offline AI assistant from a USB flash drive — no installation, no internet, no admin rights required.
Chat with India's Budget 2024 (Part I): LangChain-Free RAG on local CPU & (PART II): Without LangChain on Free Google Colab GPU
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