Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

SuperClaw: Red-Team AI Agents Before They Red-Team You

The UI5 MCP server improves the developer experience when working with agentic AI and the UI5 framework.

🎮 Codex Micro functionality using any Gaming Controller on any Coding Harness!

Blog Write multi agent AI is a custom multi-agent system designed to autonomously create high-quality, research-driven blogs. Using LangChain, Gemini 2.0-Flash-EXP, and Serper Web Search Tool, it automates planning, writing, and editing to deliver human-like blogs with up-to-date references.

AI-powered lead generation tool that transforms user queries into targeted Quora lead searches. Leverages Groq AI and Firecrawl to extract user interactions, helping businesses discover potential leads through intelligent query processing and web scraping.

AI Agent-powered web browser: Agentic AI inside the browser.

Blue is an open-source framework for building enterprise-ready agentic workflows through compound AI system architecture. Blue uses streams for orchestration, structured communication for control, and seamless integration with existing infrastructure.

The UI5 Web Components MCP Server improves the developer experience when working with agentic AI and the UI5 Web Components framework.

VLA/WAM/RLFT/RLHF/FoundationModels/DailyLLM/AgenticToolkit

Resources and references on solved and unsolved problems in agentic AI.

AI code reviewer with context-aware feedback and line-by-line suggestions in real-time. Improve your team's development speed and quality.

LangGraph RAG pipeline using DeepSeek‑V2 (67B) via Hugging Face Transformers.

Bu depo; Microsoft AutoGen ile yaptığım/deneysel çalışmalar, entegrasyon denemeleri ve çoklu LLM sağlayıcı karşılaştırmalı örneklerini içeren bir çalışma alanıdır.

Deploy to Vercel - Python Client for AWS Textract | OCR SaaS with Development Roadmap

An attempt to integrate kagent with LLMLite and Ollama

Hands-on LangGraph tutorials: 6 agentic design patterns + Agentic RAG, with runnable notebooks and the official diagrams.

A curated list of resources about Agentic AI: papers, frameworks, tools, use cases, and legal considerations

🛒 Build a leading-edge e-commerce recommendation system using RAG architecture, Groq Llama 3, LangChain, and AstraDB, deployed on Kubernetes for scalability.