Lightweight Python SDK for LLMs with unified API across 9 providers. Built-in ReAct & Plan-Execute agents, streaming, native tool calling, context injection, structured outputs, and observability.
Production-ready RAG backend. Start in 5 min, swap Vector DB/LLM/Reranker with 1 line config. 6 DBs, 4 LLMs, GraphRAG included.
AI Security Platform: Defense (61 Rust engines + Micro-Model Swarm) + Offense (39K+ payloads)
Your SDK solves all of this. One interface. Unified logic. Local + hosted models. Fine-tuning. Agent tools. Enterprise-ready. Hybrid RAG.Star 🌟 if you like it!
AI-driven NetSuite assistant powered by MCP. Chat with your ERP data using Next.js, Gemini, Claude, and GPT-5
JavaScript for MultiMindSDK – bring advanced context transfer and multi-LLM orchestration, Node.js apps, and web tools
Production-ready agentic AI framework. High-performance, lightweight, simple. Built-in safety, memory, and 4 reasoning patterns. Ships to production fast.
Claude Code-like AI agent framework for your app. Planning, task tracking, clarifying questions - one dependency, stateless, serverless-ready.
Deploy intelligence. Open-source infrastructure for AI agents in production.
🤖 NoCapGenAI is a Retrieval-Augmented Generation (RAG) chatbot built with Streamlit, Ollama, MongoDB, and ChromaDB. It features a clean, modern UI and persistent vector memory for context-aware conversations. Easily integrates with Ollama-supported models like phi3:mini, llama3, mistral, and more. Designed to support customizable assistant modes
🤖 Test and secure AI systems with advanced techniques for Large Language Models, including jailbreaks and automated vulnerability scanners.
A unified, async Python framework for LLM applications—chat, autonomous agents, RAG, and sandboxed code execution. Supports OpenAI, Anthropic, Gemini, Ollama, and more through a single API. Features an 8-phase cognitive reasoning cycle, Docker-based isolation, human-in-the-loop approvals, session management, and comprehensive observability.
A lightweight framework, a simple LangChain alternative, for building AI agents in Python.
Advanced prompt engineering techniques: Chain-of-Thought, Tree-of-Thoughts, ReAct, Self-Consistency
Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.
Simple AI-agent Conversation Orchestrator
Python Agent Framework for LLM Tool-Calling and Multi-Agent Orchestration
The simple way to build and embed AI agents into any software stack. Code-native, modular, and LLM-agnostic.
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