AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Repository Index
57,138 visible repositories in the index
145–168 of 524 · Most stars
https://arxiv.org/abs/2606.28344. The end of web parsing. The beginning of scalable pixel-native search. link: https://pixelrag.ai/
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
OpenAI, GPT 6.1, GPT-Image-2, Whisper API clients for Go. Zero-dependency.
- go
- openai
- golang
- streaming-api
Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- bloom
- deep-learning
- distributed-systems
- language-models
All-in-one LLM CLI tool featuring Shell Assistant, Chat-REPL, RAG, AI Tools & Agents, with access to OpenAI, Claude, Gemini, Ollama, Groq, and more.
🚀 An awesome list of curated Nano Banana pro prompts and examples. Your go-to resource for mastering prompt engineering and exploring the creative potential of the Nano banana pro(Nano banana 2) AI image model.
- gemini
- nanobanana
- prompt-engineering
- prompt-guide
🚀 World's largest GPT Image 2 prompt library, updated daily — 2000+ curated prompts with preview images, 16 languages. OpenAI's next-gen image model with pixel-perfect text rendering, cross-image consistency, and commercial-grade illustration. Free & open source.
- ai-image-generation
- ai-prompts
- awesome
- awesome-list
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
High-speed Large Language Model Serving for Local Deployment
The fast, precise document-intelligence engine for every language: text, tables and metadata from 100+ formats, with OCR, transcription and code intelligence.
- text-extraction
- document-intelligence
- metadata-extraction
- pdf-extraction
Open-source, high-performance AI gateway that works as your LLM gateway, MCP gateway and agent gateway. One OpenAI-compatible API for 10,000+ models, with failover, load balancing, semantic caching, virtual keys, budgets and MCP Code Mode. Works with any SDK or agent and adds under 200µs of overhead at 5k RPS.
- gateway
- llm-gateway
- guardrails
- mcp-gateway
ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.
Lightweight (7MB) terminal-first AI-native development environment
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Source control for agents. Use multiple coding agents, track their changes and query them in one place
🚀 Next Gen Multi-tenant AI One-Stop Solution. Builtin Admin & Billing System. Enterprise-Grade Unified LLM Gateway Support for 200+ Models And 35+ Providers, Load Balacing w/ Priority-base Routing, Cost Management, Chat Share, Cloud Sync, Credit/Subscription Billing, All File Parsing, Web Search, Built-in Model Cache.
An app that brings language models directly to your phone.
Curated prompts, frameworks and papers for LLMs and agents, with an engineering bias. Prompt engineering, context engineering, agent harnesses, red teaming.
- awesome
- awesome-list
- chatgpt
- prompt
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.
- knowledge-graph
- large-language-model
- logical-reasoning
- multi-hop-question-answering
ImageBind One Embedding Space to Bind Them All
The official repo for “Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting”, ACL, 2025.
TranslatedStop writing prompts from scratch — a searchable prompt library for ChatGPT, Claude, Gemini and Cursor · Русский 한국어 العربية हिन्दी ไทย ｜ Stop writing prompts from scratch: use ready-made ones right away, and save the good ones into your own library