GenerateAgents.md is a tool that automatically generates Agents.md for any GitHub repository by analyzing its codebase using dspy.RLM (Recursive Language Model). It supports Gemini, Anthropic (Claude), and OpenAI models out of the box. The tool provides two output styles - Comprehensive Style for detailed overviews and explanations, and Strict Style focusing on coding constraints and anti-patterns. It follows a pipeline that involves cloning the repository, extracting codebase information, compiling conventions into markdown, and creating the final AGENTS.md file. The tool also supports environment variables for API keys and different models for generation tasks.

Chronicle is a self-hostable AI system that captures audio/video data from OMI devices and other sources to generate memories, action items, and contextual insights about conversations and daily interactions. It includes a mobile app for OMI devices, backend services with AI features, a web dashboard for conversation and memory management, and optional services like speaker recognition and offline ASR. The project aims to provide a system that records personal spoken context and visual context to generate memories, action items, and enable home automation.

Observers is a lightweight library for AI observability that provides support for various generative AI APIs and storage backends. It allows users to track interactions with AI models and sync observations to different storage systems. The library supports OpenAI, Hugging Face transformers, AISuite, Litellm, and Docling for document parsing and export. Users can configure different stores such as Hugging Face Datasets, DuckDB, Argilla, and OpenTelemetry to manage and query their observations. Observers is designed to enhance AI model monitoring and observability in a user-friendly manner.

Detour is an autonomous collision-avoidance system designed to run on-board satellites using NVIDIA's Nemotron LLM on the ASUS Ascent GX10. It utilizes a multi-agent LangGraph pipeline to detect debris threats, assess risk, plan maneuvers, validate safety constraints, and execute avoidance burns locally with zero ground-station latency. The system consists of key components such as Agent Pipeline, Physics Engine, Satellite Model, Tool Wrappers, API, Frontend, and Ascent GX10 Setup. The tool aims to provide fast and autonomous decision-making capabilities to prevent collisions in Low Earth Orbit (LEO) by leveraging edge AI technology.

bumpgen is a tool designed to automatically upgrade TypeScript / TSX dependencies and make necessary code changes to handle any breaking issues that may arise. It uses an abstract syntax tree to analyze code relationships, type definitions for external methods, and a plan graph DAG to execute changes in the correct order. The tool is currently limited to TypeScript and TSX but plans to support other strongly typed languages in the future. It aims to simplify the process of upgrading dependencies and handling code changes caused by updates.

Agentic ADK is an Agent application development framework launched by Alibaba International AI Business, based on Google-ADK and Ali-LangEngine. It is used for developing, constructing, evaluating, and deploying powerful, flexible, and controllable complex AI Agents. ADK aims to make Agent development simpler and more user-friendly, enabling developers to more easily build, deploy, and orchestrate various Agent applications ranging from simple tasks to complex collaborations.

Zen-AI-Pentest is a professional AI-powered penetration testing framework designed for security professionals, bug bounty hunters, and enterprise security teams. It combines cutting-edge language models with 20+ integrated security tools, offering comprehensive security assessments. The framework is security-first with multiple safety controls, extensible with a plugin system, cloud-native for deployment on AWS, Azure, or GCP, and production-ready with CI/CD, monitoring, and support. It features autonomous AI agents, risk analysis, exploit validation, benchmarking, CI/CD integration, AI persona system, subdomain scanning, and multi-cloud & virtualization support.

Osmedeus is a security-focused declarative orchestration engine that simplifies complex workflow automation into auditable YAML definitions. It provides powerful automation capabilities without compromising infrastructure integrity and safety. With features like declarative YAML workflows, multiple runners, event-driven triggers, template engine, utility functions, REST API server, distributed execution, notifications, cloud storage, AI integration, SAST integration, language detection, and preset installations, Osmedeus offers a comprehensive solution for security automation tasks.

AIO Homematic (hahomematic) is a lightweight Python 3 library for controlling and monitoring HomeMatic and HomematicIP devices, with support for third-party devices/gateways. It automatically creates entities for device parameters, offers custom entity classes for complex behavior, and includes features like caching paramsets for faster restarts. Designed to integrate with Home Assistant, it requires specific firmware versions for HomematicIP devices. The public API is defined in modules like central, client, model, exceptions, and const, with example usage provided. Useful links include changelog, data point definitions, troubleshooting, and developer resources for architecture, data flow, model extension, and Home Assistant lifecycle.

AIO Coding Hub is a local AI CLI unified gateway that allows requests from Claude Code, Codex, and Gemini CLI to go through a single entry point. It solves the pain points of configuring base URLs and API keys for each CLI, provides intelligent failover in case of upstream instability, offers full observability with trace tracking and usage statistics, enables easy switching of providers with a single toggle, and ensures security and privacy through local data storage and encrypted API keys. The tool features a unified gateway proxy supporting multiple CLI tools, intelligent routing and fault tolerance, observability with request tracing and usage statistics, channel validation with multi-dimensional templates, and security and privacy measures like local data storage and encrypted API keys.

Memsearch is a tool that allows users to give their AI agents persistent memory in a few lines of code. It enables users to write memories as markdown and search them semantically. Inspired by OpenClaw's markdown-first memory architecture, Memsearch is pluggable into any agent framework. The tool offers features like smart deduplication, live sync, and a ready-made Claude Code plugin for building agent memory.

KWeaver is an open-source ecosystem for building, deploying, and running decision intelligence AI applications. It adopts ontology as the core methodology for business knowledge networks, with DIP as the core platform, aiming to provide elastic, agile, and reliable enterprise-grade decision intelligence to further unleash productivity. The DIP platform includes key subsystems such as ADP, Decision Agent, DIP Studio, and AI Store.

Vibium is a browser automation infrastructure designed for AI agents, providing a single binary that manages browser lifecycle, WebDriver BiDi protocol, and an MCP server. It offers zero configuration, AI-native capabilities, and is lightweight with no runtime dependencies. It is suitable for AI agents, test automation, and any tasks requiring browser interaction.

Giztoy is a multi-language framework designed for building AI toys and intelligent applications. It provides a unified abstraction layer that spans from resource-constrained embedded systems to powerful cloud services. With features like native support for ESP32 and other MCUs, cross-platform app development, a unified build system with Bazel, an agent framework for AI agents, audio processing capabilities, support for various Large Language Models, real-time models with WebSocket streaming, secure transport protocols, and multi-language implementations in Go, Rust, Zig, and C/C++, Giztoy serves as a versatile tool for developing AI-powered applications across different platforms and devices.

HUF is an AI-native engine designed to centralize intelligence and execution into a single engine, enabling AI to operate inside real business systems. It offers multi-provider AI connectivity, intelligent tools, knowledge grounding, event-driven execution, visual workflow builder, full auditability, and cost control. HUF can be used as AI infrastructure for products, internal intelligence platform, automation & orchestration engine, embedded AI layer for SaaS, and enterprise AI control plane. Core capabilities include agent system, knowledge management, trigger system, visual flow builder, and observability. The tech stack includes Frappe Framework, Python 3.10+, LiteLLM, SQLite FTS5, React 18, TypeScript, Tailwind CSS, and MariaDB.

Forge Orchestrator is a Rust CLI tool designed to coordinate and manage multiple AI tools seamlessly. It acts as a senior tech lead, preventing conflicts, capturing knowledge, and ensuring work aligns with specifications. With features like file locking, knowledge capture, and unified state management, Forge enhances collaboration and efficiency among AI tools. The tool offers a pluggable brain for intelligent decision-making and includes a Model Context Protocol server for real-time integration with AI tools. Forge is not a replacement for AI tools but a facilitator for making them work together effectively.

GenerateAgents.md is a tool that automatically generates Agents.md for any GitHub repository by analyzing its codebase using dspy.RLM (Recursive Language Model). It supports Gemini, Anthropic (Claude), and OpenAI models out of the box. The tool provides two output styles - Comprehensive Style for detailed overviews and explanations, and Strict Style focusing on coding constraints and anti-patterns. It follows a pipeline that involves cloning the repository, extracting codebase information, compiling conventions into markdown, and creating the final AGENTS.md file. The tool also supports environment variables for API keys and different models for generation tasks.

Weave is a toolkit for developing Generative AI applications, built by Weights & Biases. With Weave, you can log and debug language model inputs, outputs, and traces; build rigorous, apples-to-apples evaluations for language model use cases; and organize all the information generated across the LLM workflow, from experimentation to evaluations to production. Weave aims to bring rigor, best-practices, and composability to the inherently experimental process of developing Generative AI software, without introducing cognitive overhead.

LLMStack is a no-code platform for building generative AI agents, workflows, and chatbots. It allows users to connect their own data, internal tools, and GPT-powered models without any coding experience. LLMStack can be deployed to the cloud or on-premise and can be accessed via HTTP API or triggered from Slack or Discord.

The VisionCraft API is a free API for using over 100 different AI models. From images to sound.

Kaito is an operator that automates the AI/ML inference model deployment in a Kubernetes cluster. It manages large model files using container images, avoids tuning deployment parameters to fit GPU hardware by providing preset configurations, auto-provisions GPU nodes based on model requirements, and hosts large model images in the public Microsoft Container Registry (MCR) if the license allows. Using Kaito, the workflow of onboarding large AI inference models in Kubernetes is largely simplified.

PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.

Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot. It boasts several key features: * Self-contained, with no need for a DBMS or cloud service. * OpenAPI interface, easy to integrate with existing infrastructure (e.g Cloud IDE). * Supports consumer-grade GPUs.

SPEAR (Simulator for Photorealistic Embodied AI Research) is a powerful tool for training embodied agents. It features 300 unique virtual indoor environments with 2,566 unique rooms and 17,234 unique objects that can be manipulated individually. Each environment is designed by a professional artist and features detailed geometry, photorealistic materials, and a unique floor plan and object layout. SPEAR is implemented as Unreal Engine assets and provides an OpenAI Gym interface for interacting with the environments via Python.

Magick is a groundbreaking visual AIDE (Artificial Intelligence Development Environment) for no-code data pipelines and multimodal agents. Magick can connect to other services and comes with nodes and templates well-suited for intelligent agents, chatbots, complex reasoning systems and realistic characters.