A research-paper learning plugin for AI agents that transforms PDFs into interactive study environments with automated summaries, code demonstrations, and a web viewer.

An AI-powered software factory that automates the development loop from issue triage to draft pull request using a pipeline of specialized agents.

A reference implementation for building agentic applications that use RAG and a middleware toolbox to securely query and interact with cloud databases.

A subtitle translation tool that lets users connect their own translation API keys to translate .srt, .vtt, and .ass files cheaply and efficiently.

An open framework and MCP server that enables AI agents to securely interact with monday.com to manage projects, track tasks, and execute workflows.

A high-performance full-stack self-evolving agent that enables the creation of enterprise AI applications and full-stack apps via natural language and SQL-like service definitions.

A native-Rust AI agent workspace that provides a unified environment for coding and automation across desktop, terminal, and web interfaces.

PullMD is a self‑hosted service that converts any public URL—including web pages, Reddit/Hacker News threads, PDFs, Office docs, images, audio, and YouTube videos—into clean Markdown. It offers a PWA UI, a REST API, and an MCP streaming endpoint, with optional side‑cars for JavaScript rendering, OCR, and media captioning. Output is token‑efficient: content lives in the body while all metadata (source, timestamps, OCR model, token usage, etc.) is placed in YAML front‑matter. Features include shareable live links, SSRF protection, coverage guard, configurable cache retention, and three authentication modes (open, single‑admin, multi‑user). Deployable via a single Docker‑Compose file with optional Traefik support, it’s aimed at LLM agents, RAG pipelines, and anyone needing privacy‑preserving, ad‑free Markdown extraction.

An agentic AI framework based on Apache Flink that allows developers to build AI agents capable of real-time stream processing.

An open-source parallel coding agent harness that provides a single web portal to run and control multiple AI coding agents simultaneously.

An Obsidian plugin that integrates local AI agents (Claude Code, Codex, OpenCode) and a multi-platform publishing workbench for social media and professional documents.

A browser-based PDF to Markdown converter that processes files locally to ensure privacy and offline functionality.

A self-hosted, private search engine with an AI assistant that can run entirely in the browser, providing cited answers based on aggregated web results.

A custom Home Assistant component that extends OpenAI Conversation with function calling to allow an AI assistant to control devices, create automations, and fetch external data.

An AI-powered tool that transforms EPUB books into bilingual editions, preserving original formatting and structure while providing side-by-side translations.

A monorepo providing a workflow to generate presentation content and convert HTML previews into editable PowerPoint or bento slides using AI agents.

MarkLLM is a Python toolkit that implements dozens of text‑watermarking methods for large language models, offers visualisation of how the watermarks work, and provides a full evaluation suite (detection, robustness, text‑quality metrics). It can be installed via pip, loads pretrained models from Hugging Face, and lets users generate and detect watermarks through a unified `AutoWatermark` API.

An AI-powered bioinformatics research assistant that brings computational biology tools and literature search into messaging apps like WhatsApp and WeChat.

An enterprise-grade AI marketing automation toolkit providing specialized agents, commands, and skills for AI assistants like Claude Code and Cursor.

A native, privacy-focused macOS AI chat client that supports multiple cloud providers and local LLMs like Ollama and LM Studio.

A comprehensive guide on best practices for creating structured agent skills to improve AI agent reliability, discoverability, and token efficiency.

An agentic crypto trading stack that uses a multi-agent LangGraph workflow and a strict Risk Guard veto system to implement hedge-fund-style trading discipline.

A private cloud storage solution that unifies multiple storage backends and adds AI-powered semantic search and an integrated AI agent for file automation.

A fast, secure, and local-first personal AI assistant infrastructure written in Rust, providing sandboxed autonomy and multi-provider LLM support in a single 6MB binary.

An AI-powered low-code platform based on TailwindCSS and Drupal that enables rapid drag-and-drop creation of responsive, multi-language web applications and UIs.

A Model Context Protocol server that allows AI models to retrieve YouTube transcripts and optionally analyze visual content using TwelveLabs.

A template for a team of coordinated AI marketing agents that automate brand positioning, content creation, and distribution across Notion, Typefully, and Resend.

An automation skill pack that enables AI assistants like Claude to understand and operate n8n workflows by providing comprehensive documentation on 545 nodes and 20 templates.

A tool for creating digital personas of former partners by analyzing chat histories and personality traits to simulate their specific tone and emotional patterns.

A Python plugin for IDA Pro that uses LLMs to explain decompiled functions and automatically rename variables to aid reverse engineering.

An open-source self-evolving agent framework that dynamically updates its skills, memory, and brain model through interaction while employing a multi-layer security scaffold.

An Emacs package that integrates the Claude Code CLI via the Model Context Protocol (MCP), allowing Claude to access editor context and Emacs tools.

A local-first workbench for orchestrating coding agents that manages isolated git workspaces for parallel task execution, review, and shipping.

A production-ready foundation for AI chat apps that provides authentication, streaming, and unified access to over 120 AI models.

A persistent life system for AI agents that provides long-term memory, autonomous scheduling, and unified communication across multiple channels using existing LLM subscriptions.

A chat-based financial research platform that combines institutional-grade data from the Valyu API with secure Python code execution for advanced analysis.

An enterprise agent harness that provides a generalist agent framework for rapid deployment of domain-specific agents with built-in orchestration, safety policies, and hybrid API/browser execution.

A mobile-friendly, web-based coding agent that supports multiple models and modalities to help developers write and manage code.

A framework for developing and evaluating web agents across various benchmarks, featuring large-scale parallel experimentation and trace visualization tools.

An open-source Agent platform that uses a hybrid agent-workflow architecture and a unified plugin system to build governed, enterprise-grade agentic applications.

An AI roleplay platform that uses a multi-agent system to ensure consistent narration and world state tracking for interactive storytelling.

An Android chat application that provides a unified interface for interacting with cloud-based LLMs via OpenRouter and locally hosted models via Ollama, LM Studio, and others.

A terminal-based programming agent built in Go that optimizes for DeepSeek's prefix caching to lower costs and features a built-in code graph and local OCR.

An AI coding assistant that provides persistent workspaces with connected data and the ability to build and deploy applications directly from the chat environment.

A meta-skill that transforms prompts and workflows into researched, evaluated, and securely published AI agent skill packages.

A source-available Agent Runtime platform for building, orchestrating, and operating AI agents and executable workflows with built-in governance and sandboxed execution.

A privacy-focused AI assistant app for Android featuring RAG-based memory, multimodal inputs, and built-in Python and JavaScript engines.

A hypergraph-driven Retrieval-Augmented Generation (RAG) framework that reduces LLM hallucinations by capturing complex, beyond-pairwise relationships in domain-specific knowledge.