openai

Multi-agent AI discussion CLI for structured debates between LLMs

Top Autonomous Multi-Agent Dialogue Systems for AI Character Emergence (2026)

Integrate ChatGPT-style LLMs into Neovim: ask questions, keep multi-file context, pull diagnostics / command output, and chat without leaving your editor. Highly configurable, async, lua-only plugin.

Drop-in prompt-caching fixes for the LLM agent harness you use. Point your AI coding agent at this repo and it ships the patches.

Prompt Engineering at Your Fingertips!

A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.

AI-powered tool designed to help producing Threat Intelligence Mindmap.

Advanced Retrieval-Augmented Generation (RAG) through practical notebooks, using the power of the Langchain, OpenAI GPTs ,META LLAMA3 , Agents.

Self-hosted app store and runtime for AI agents. Install third-party agents, run them on your infrastructure with your own model providers (Ollama, Bedrock, OpenAI, etc.). Container isolation, credential injection, default-deny egress.

AgC is the open-core platform that powers Open Agentic Compute — a new compute substrate purpose-built for deploying, running, and orchestrating AI agents at scale.

The PyVisionAI Official Repo

Autonomous, agentic, creative story writing system that incorporates stored embeddings and Knowledge Graphs.

Fold your whole codebase into one LLM-ready prompt.

LLM tools used in production at Dexa

Imagine with AI

Live AI-powered screen translation via LLMs & GPU OCR. 26 languages, manga support, PDF/CBZ conversion, audio reading, cloud or fully local operation. For gamers, manga readers, and language learners.

OpenAi-Sora (SoraFlows) is an open-source, cross-platform web application for AI-powered video creation and editing using the latest OpenAI Sora model. Effortlessly generate, edit, and share videos from text or images, with integrated support for voice-to-text, text-to-speech, voice cloning, and multi-language interfaces .

Build super simple end-to-end data & ETL pipelines for your vector databases and Generative AI applications

An experiment that applies Google Research's `ReasoningBank` technique to Small Language Models. This experiment hopes to show that the same gains from the ReasoningBank paper also applies to much smaller, less capable models.

A high-performance AI Gateway written in Rust — call 100+ LLM APIs using OpenAI format