Open Source LLM Projects
Discover 273 open source LLM repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. LLM projects here are most often combined with Python, AI Agents and AI. Last updated October 4, 2026.
273 repositories · updated October 4, 2026
MOSS-TTS: Generate Speech, Dialogue, and Sound with AI
MOSS-TTS is a family of speech and sound generation models for long-form narration, voice cloning, dialogue, voice design, sound effects, and streaming TTS. It offers multiple model architectures and deployment paths for research, production, and local inference.
autoresearch: Let AI Agents Run LLM Training Experiments
autoresearch gives an AI coding agent a small, single-GPU language-model training setup to modify and test autonomously. It suits researchers with supported NVIDIA hardware who want to explore training changes through repeated, time-bounded experiments.
MiroFish: Simulate Agent Societies to Explore Possible Futures
MiroFish uses LLM-powered agents and a knowledge graph to simulate social scenarios from source material. It is aimed at teams and individuals exploring public opinion, policy, financial signals, or creative what-if scenarios before making decisions.
humanizer: Edit AI-Written Text into Plainer Prose
Humanizer is an agent skill for revising AI-written text while preserving its meaning and factual details. Use it in supported coding agents or other skill-compatible tools when you want clearer, less formulaic prose.
OpenHuman: Run a Modular AI Agent Harness
OpenHuman is a Rust-based agent harness available as a desktop app, browser UI, terminal client, and embeddable library. It connects configurable language models, memory, search, tools, and workflows for people building or using persistent AI agents.
ai-engineering-from-scratch: Learn AI by Building It
A free, MIT-licensed curriculum that teaches AI engineering through runnable lessons and hands-on artifacts. It covers foundations through LLMs, agents, protocols, and production, with paths for beginners and experienced developers.
Anthropic-Cybersecurity-Skills: Give AI Agents Security Playbooks
A library of structured cybersecurity workflows for AI agents, covering 34 security domains and mapped to six industry frameworks. Use it to provide compatible agents with practical guidance for authorized security work.
supply-chain-monitor: Detect Suspicious PyPI and npm Releases
Supply Chain Monitor tracks releases among popular PyPI and npm packages, compares each new release with its predecessor, and asks an LLM to flag suspicious changes. It suits teams that can operate Cursor Agent CLI and want Slack alerts for potential compromise.
JARVIS: Connect Language Models to AI Tools
JARVIS, also known as HuggingGPT, uses an LLM to plan requests, choose expert models from Hugging Face, run tasks, and combine their results. It suits research and prototyping that explores natural-language orchestration of AI models.
open_deep_research: Build Configurable Deep Research Agents
A Python research agent that searches the web, synthesizes findings, and produces reports using configurable language models and search tools. It suits developers who want to customize or deploy a research workflow with LangGraph.
peft: Fine-Tune Models with Fewer Trainable Parameters
Hugging Face PEFT adapts pretrained models by training a small set of additional parameters instead of updating the full model. It is for practitioners who want to reduce fine-tuning compute and storage costs across supported model workflows.
scramble: Improve Writing with AI in Your Browser
Scramble is a Chrome extension that applies AI prompts to selected text on webpages. It suits people who want customizable writing help and a choice of hosted or local LLM providers instead of a fixed editing workflow.