AGMSG: Cross-Vendor Messaging for CLI AI Coding Agents
AGMSG is a new open-source project designed to facilitate communication between different AI coding agents directly from the command line. It enables agents like Claude Code, Codex, Gemini, and Copilot to collaborate within a team environment.
AgentOS: A TypeScript AI Agent Framework with Advanced Features
AgentOS is an open-source AI agent framework built with TypeScript. It offers features like cognitive memory, runtime tool forging, and multi-agent orchestration, supporting eleven different LLM providers. The project is actively developed with a recent release and a growing community.
Claude-Mem: Persistent Context for AI Agents
The claude-mem project introduces a novel approach to maintaining persistent context for AI agents across multiple sessions. It captures agent interactions, compresses them using AI, and reintroduces relevant information into subsequent sessions, enhancing agent memory and continuity.
Castor: A Self-Hosted AI Agent for Business Workflows
Castor is an open-source, self-hosted AI agent designed for business operations like customer service, internal automation, and knowledge retrieval. It supports various OpenAI-compatible LLMs, including local models, and emphasizes data privacy by keeping data on the user's infrastructure.
PentesterFlow/agent: AI-Powered Offensive Security CLI Tool
PentesterFlow/agent is an open-source, agentic AI command-line interface (CLI) designed for offensive security tasks. It assists penetration testers and bug hunters with recon, enumeration, validation, evidence collection, and reporting, while maintaining human oversight.
Opilot: Integrate Ollama Models into GitHub Copilot Chat
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.
KiwiFS: A Markdown Filesystem for AI Agents and Teams
KiwiFS is an open-source Markdown filesystem designed for AI agents and human teams, offering features like search, versioning, and structured data capabilities. It aims to bridge the gap between human-readable Markdown files and the structured data needs of AI agents.
ANARCHY: A Fully Local AI Shell for Offline Development
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: A Provider-Agnostic Agentic Coding Assistant in Go
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.
Notebook Intelligence: A JupyterLab Extension for AI Code Assistants
Notebook Intelligence is a new JupyterLab extension designed to integrate various AI coding assistants, including Claude Code, Copilot, Ollama, and OpenAI-compatible LLMs. It aims to enhance the notebook development experience by providing features like MCP, skills, plugins, and notebook agents.
AgentFM: Decentralized AI Supercomputer via Peer-to-Peer Network
AgentFM introduces a peer-to-peer network designed to transform everyday computers into a decentralized AI supercomputer. This system enables the execution of large-scale AI workloads by leveraging a global mesh of idle CPUs and GPUs.
Named Tmux Manager (ntm): Coordinate AI Coding Agents in Tmux
Named Tmux Manager (ntm) is a Go-based command-line tool that allows developers to spawn, tile, and coordinate multiple AI coding agents within tmux panes. It features a TUI command palette for seamless interaction with agents like Claude, Codex, and Gemini.
Tensorlake: Serverless Runtime for Agentic Applications
Tensorlake is a new serverless runtime designed for sandboxing and deploying background agentic applications. It offers a Python-based environment with features for code execution and LLM integration, aiming to simplify the development and deployment of AI agents.
Claude-Brewcode: A Development Platform for Claude Code
Claude-Brewcode is a comprehensive development platform designed for Claude Code. It offers features such as infinite focus tasks with automatic context handling, prompt optimization, skill and agent creation, and knowledge persistence.
GlideMQ: High-Performance Message Queue for Node.js with Rust Bindings
GlideMQ is a new high-performance message queue for Node.js that leverages Valkey/Redis Streams and Rust-native NAPI bindings. It aims to provide a robust and efficient solution for managing message queues in Node.js applications.
Boxlite: A Compute Substrate for AI Agents
Boxlite is a new compute substrate designed for AI agents. It aims to be lightweight for local development and scalable for cloud deployment, offering a flexible environment for building and running AI agents.
Wide-Moat's Open-Source MCP Server for LLM-Powered Computing
Wide-Moat has released an open-source MCP server designed to provide Large Language Models (LLMs) with their own managed computing environments. This self-hosted solution offers Docker workspaces with integrated browser, terminal, and code execution capabilities, enabling LLMs to perform complex tasks autonomously.
Antfly: A Distributed Search Engine for Multimodal AI Data
Antfly is an open-source, distributed search engine built in Zig, designed for multimodal AI data. It integrates full-text search, vector similarity, and graph traversal, with built-in RAG agents and support for various AI models and deployment environments.
StatsPAI: Agent-Native Python Platform for Causal Inference and Econometrics
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.
MaIN.NET NuGet Package Integrates LLMs, RAG, and Agents into .NET
MaIN.NET is a NuGet package designed to bring Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and AI Agents into the .NET ecosystem. It aims to provide a modular framework for building AI applications with a low-code philosophy.
Mnemo Cortex: Open-Source Memory Coprocessor for AI Agents
Mnemo Cortex is an open-source memory coprocessor designed for AI agents, offering persistent recall, semantic search, and crash-safe memory capture without requiring hooks. It includes features like cross-agent overnight synthesis, an auto-compiled knowledge base (WikAI), agent-to-agent messaging, and a structured facts store with confidence tracking.
GenieClaw: Limited-Context AI Harness for Agentic Smart Homes
GeniePod has released GenieClaw, a Rust-based AI agent layer designed for smart homes. It focuses on low-latency, privacy-first operation with limited context windows, optimized for devices like the Jetson Orin Nano Super. The latest alpha release, v1.0.0-alpha.9, introduces Qwen3-4B as the default model, improves voice interaction, and enhances CI/CD and supply chain security.
ClawMax: Web Orchestration Layer for OpenClaw AI Agents
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.
Dream Server: Turn Your PC into a Private AI Server
Dream Server is an open-source project that enables users to transform their PC, Mac, or Linux machine into a private AI server. It integrates various AI functionalities like LLM inference, a chat UI, voice capabilities, agents, workflows, RAG, and image generation, all designed to run locally without cloud dependencies.