Open Source LLM Projects
Discover 264 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 and AI Agents. Last updated October 3, 2026.
264 repositories · updated October 3, 2026
Maskit: Local Privacy Gateway for LLMs and AI Tools
Maskit is a local privacy desensitization gateway engineered for large language models and AI tools. It automatically masks sensitive data in requests sent to AI services and then seamlessly restores it in streaming responses, ensuring private information remains local. This innovative solution supports various AI assistants like Cursor and Claude Code, along with any tool offering a configurable Base URL.
AgentsKit: The Complete JavaScript Toolkit for Building AI Agents
AgentsKit is a comprehensive JavaScript toolkit designed for building AI agents, offering a lightweight core and a modular ecosystem. It provides essential components like UIs, autonomous runtime, tools, memory, and RAG, enabling developers to create sophisticated agents from simple chat interfaces to complex autonomous systems. This framework aims to simplify agent development by offering composable parts and avoiding the need to glue multiple incompatible libraries together.
uta: A CLI Agent Orchestrator for Parallel AI Task Management
uta is a command-line interface (CLI) agent orchestrator designed to decompose complex goals into parallel subtasks. It can dispatch these tasks to various agent CLIs like Claude Code or Gemini CLI, record every step of the process, and synthesize the final results. This tool enhances agent capabilities by enabling parallelism and cross-provider task execution.
Open Code Review: AI-Powered Code Review Tool from Alibaba
Open Code Review is an AI-powered command-line interface tool for code review, battle-tested at Alibaba's scale. It leverages a hybrid architecture, combining deterministic engineering with an LLM agent, to provide secure, fast, and efficient code analysis. This tool generates precise, line-level comments and supports a multi-language ruleset, ensuring high-quality code reviews.
ctx-gate: LLM Context Gateway for Efficient Token Usage
ctx-gate is an LLM-agnostic context optimization proxy that reduces token consumption in AI interactions. It intelligently prunes conversation history and tool outputs, ensuring critical facts are retained without altering your workflow. Compatible with Anthropic and OpenAI APIs, ctx-gate helps developers manage LLM costs and maintain prompt fidelity.
AgentShield: Python Firewall for AI Agent Spend Control
AgentShield is a pure Python library designed to prevent runaway AI agents from exceeding budget limits. It offers 10 composable spend rules, evaluated in under 1ms, providing robust cost control. Although its core development has transitioned to sipi.bot, the AgentShield Python package remains available for existing users and its test fixtures are open-source.
Goon: Autonomous AI Worker for Software Development and Custom Workflows
Goon is a self-hosted, autonomous AI worker designed to streamline software development and automate custom workflows. Built with Go and having zero dependencies, it operates as a daemon, capable of tasks from writing code and opening PRs to summarizing emails and monitoring logs. It learns from your context and asks for human approval before acting, ensuring controlled and intelligent automation.
Awesome-Self-Improving-Agents: A Curated List for Agentic AI Self-Improvement
Awesome-Self-Improving-Agents is a comprehensive GitHub repository featuring a curated and continuously updated list of resources on self-improvement in foundation model-based agentic systems. It serves as a central hub for researchers and practitioners, offering papers, benchmarks, and various media. This resource is essential for anyone exploring the cutting edge of self-evolving AI agents.
Ferret MCP: AI-Powered Knowledge Extraction for Any Codebase
Ferret MCP is an MCP server designed to extract comprehensive knowledge from any codebase, combining static analysis with AI-powered deep interpretation. It provides detailed insights into architecture, patterns, dependencies, and API surface, delivering a senior engineer's analysis in seconds. This tool integrates seamlessly with various MCP clients, offering both free static analysis and advanced AI-driven reports.
session-to-skill: Automate AI Agent Skill Creation from OpenCode Sessions
session-to-skill is a powerful tool designed to transform OpenCode shared sessions into fully validated, reusable, and publishable AI agent skills. It automates the process of extracting patterns, applying TRACE validation and security checks, and packaging the skill into a ZIP file, streamlining development for platforms like SkillHub.
Curie: Automated and Rigorous Scientific Experimentation with AI Agents
Curie is an innovative AI-agent framework designed for automating rigorous scientific experimentation. It streamlines the entire research lifecycle, from hypothesis formulation to result interpretation, ensuring precision, reliability, and reproducibility. This empowers scientists to accelerate their research processes significantly.
Awesome Automated AI/ML: Your Curated Guide to AI/ML Automation Tools
Awesome Automated AI/ML is a comprehensive, curated list featuring over 300 tools for automating various aspects of AI and Machine Learning. It covers everything from hyperparameter optimization to autonomous AI agents, offering a dynamic resource for ML engineers, AI researchers, and product builders.