A Python library for processing textual data that provides a simple API for common NLP tasks like sentiment analysis, tagging, and classification.

IntentKit is a self-hosted, cloud-native agent cluster that manages a collaborative team of AI agents to complete tasks with high reliability and resource efficiency.

A self-hosted, local-first knowledge base and AI agent orchestration platform that stores all data as Markdown files on disk to provide persistent memory for AI teams.

A web automation framework that combines AI agents with traditional scripting to build reliable, cost-effective agents capable of navigating websites and bypassing bot detection.

A modern cross-platform client for Ollama that provides a graphical chat interface for interacting with local AI models via API.

A unified, self-hosted chat and search platform that provides a single interface for accessing multiple major AI providers.

A Go SDK that provides an interface for developers to integrate Google's generative AI models, like Gemini, into their Go applications.

An extensible runtime and trajectory collection framework for long-horizon AI agents that enables state-faithful data export for supervised fine-tuning.

A C# implementation of the LangChain framework that enables .NET developers to build composable AI applications using LLMs, vector databases, and document loaders.

A series of lightweight 1.9B parameter language models from Bilibili, featuring specialized versions for chat, role-playing with RAG, and 32K long-context processing.

A Python implementation of TypeAgent KnowPro for building structured RAG systems, serving as an experimental prototype for structured retrieval.

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

A terminal-native coding agent built with TypeScript and Node.js that integrates LLMs with local file and shell tools for automated software development.

A modular AI agent framework that enables the creation of multi-platform agents with specialized Web3 intelligence and integrated RAG and Chain of Thought workflows.

A self-hostable framework for creating proactive, multimodal personal AI assistants that feature long-term memory, persona tracking, and autonomous planning.

A fast and accurate Korean morphological analyzer that uses statistical language models and Skip-Bigrams to resolve linguistic ambiguity and process large volumes of text.

whoami.wiki is a tool that converts personal digital archives like photos and chat logs into a private, encyclopedic wiki about your life.

An open-source Agentic RAG framework that combines multimodal understanding, ReAct-based agents, and enterprise-grade knowledge management for complex intelligent Q&A.

A web-based chat application that uses RAG to answer questions about PostgreSQL database rows using hybrid search and OpenAI function calling.

A series of discrete diffusion Large Language Models scaled up to 100B parameters, offering high-speed parallel decoding for text generation.

A self-hosted web search and browsing skill for AI agents that uses a three-tier escalation system to bypass anti-bot protections and eliminate hallucinations.

An AI-powered pipeline and analysis platform that extracts insights from large volumes of conversational data, featuring an LLM-driven chat interface and automatically generated KPI dashboards.

An enterprise-ready proactive AI assistant with a persistent semantic memory layer that integrates with team messaging platforms and prioritizes local-first security.

A Korean morphological analyzer for Python that provides tokenization, part-of-speech tagging, and advanced typo and dialect correction.

A cross-platform desktop application for Groq models that features a chat interface with image support and local MCP server integration for function calling.

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

A text-based virtual environment for benchmarking AI agents on tasks derived from a standardized elementary science curriculum.

A Model Context Protocol (MCP) server that enables LLMs to perform reasoning-based, vectorless RAG over long PDFs using hierarchical tree structures.

A lightweight Python framework for parallel, isolated multi-agent reasoning and consensus, preventing agent bias and groupthink in high-stakes decision-making.

A cross-platform note-taking app with support for Markdown, LaTeX, and Mermaid diagrams, featuring an optional AI co-writer that connects to various LLM providers.

A secure local AI chat application that supports the Model Context Protocol (MCP) for easy integration of AI tools and services while keeping data stored locally.

An open-source agent development kit that integrates Volcengine capabilities to simplify the building, deployment, and management of AI agents.

The official Claude SDK for C#, allowing .NET developers to integrate Anthropic's Claude API into their applications.

A CLI coding agent optimized for reliability with small and local LLMs, featuring robust context management and support for a wide range of model providers.

Onyx is an open-source AI platform that serves as an application layer for LLMs, providing advanced capabilities like Agentic RAG, deep research, and custom agents.

TimeCraft is a Microsoft‑Research diffusion‑based framework for generating synthetic time‑series data. It supports cross‑domain few‑shot adaptation via a prototype dictionary, natural‑language control, and target‑aware generation that optimises synthetic samples for downstream tasks. Extensions add causal constraints, online augmentation for foundation‑model pre‑training, and continuous‑time generation from irregular observations.

User posted a long README of llama.rn covering many features. Assistant offers to help with specific questions and provides a concise TL;DR of key usage points.

A deterministic, pattern-based humanizer for Korean, English, and other languages that removes AI-sounding phrasing while strictly preserving the original meaning.

An AI assistant that generates professional PowerPoint presentations from topic descriptions or PDF files using various LLMs.

An AI employee platform for running durable, always-on autonomous agents that can be contacted via email or SMS and perform production browser automation.

A companion library for Pydantic AI that enables agents to load modular skills from local or remote registries, execute bundled scripts, and manage resources via progressive disclosure.

A web-native AI agent runtime that runs directly in the browser to interact with tabs and web apps while maintaining strict security boundaries.

A domain-specific language for computational social science and market research that enables the design and run of surveys and experiments using AI agents and LLMs.

A mod for Skyrim and Fallout 4 that enables natural, AI-powered conversations with NPCs using speech-to-text, LLMs, and text-to-speech.

An interactive AI portfolio featuring a voice-enabled chatbot with agentic RAG, a 6-layer prompt injection defense, and a comprehensive LLMOps dashboard for monitoring and automated evaluations.

PySpur is a visual playground for AI engineers to build, debug, and deploy AI agents, solving the problems of prompt tweaking and workflow invisibility.

An interaction control harness for customer-facing AI agents that uses dynamic context engineering to ensure consistent, compliant, and brand-aligned behavioral control.

A persistent AI companion and agent runtime written in Rust that integrates long-term memory, computer use, and scheduled background work.