agentic-ai

Cognitive training practices for AI agents. Self-applied. Open source. Built by an independent Vancouver yoga studio.

NFT pet game on Ethereum & Solana - mint, breed, train, and battle pets with Chainlink VRF-powered combat and on-chain progression.

Local FAISS vector store as an MCP server – Agent Memory, drop-in local semantic search for Claude / Copilot / Agents.

930+ AI-powered skills and 31 agent plugins for Claude Code, OpenAI Codex, Gemini CLI, GitHub Copilot, and Perplexity Computer. The largest open-source AI skills library.

Multi-model AI agent runtime. Define agents in YAML, route each role to a model, orchestrate with 7 patterns (ReAct, Plan & Execute, Fan-Out, Pipeline, Supervisor, Swarm, Glyph), and deploy as a REST/WebSocket API with RAG, memory, MCP tools, guardrails and OpenTelemetry observability.

Hands-on labs for Microsoft Foundry - Azure's unified PaaS for enterprise AI. Notebooks + Bicep covering provisioning, agents (incl. hosted Copilot SDK + REST), MCP, Foundry IQ knowledge bases, guardrails, red-teaming, and fine-tuning.

An imperative command-line-interface for AI workload orchestration

Open-source, self-hosted AI gateway for multi-tenant orgs: OpenAI-compatible LLM routing, RAG & vector stores, MCP hub, GPU fleet (MIG slicing), sandboxed coding agents, AI red-teaming & guardrails, and cost optimization — all in one console.

Study Guide for the AI-102: Designing and Implementing a Microsoft Azure AI Solution Exam

An open-source, model-agnostic agent harness for local LLMs. Define agents in YAML (tools, memory, deny-first permissions) and run them against any OpenAI-compatible endpoint: vLLM, Ollama, LM Studio, or llama.cpp.

Open-source Prompt Firewall — deflect up to 95% of redundant LLM traffic before it leaves your infrastructure. Documents: https://isartor-ai.github.io/Isartor/index.html

Production-grade framework for building multi-agent AI systems. Graph-based orchestration, LLM-agnostic (OpenAI, Google GenAI, Anthropic), 3-layer memory (Redis cache + Postgres + vector store), live agents, parallel tool execution, and native MCP. Ships a full ecosystem: backend, REST API + CLI, TypeScript SDK, and React playground

Redis Vector Library (RedisVL) -- the AI-native Java client for Redis.

A Python SDK for OceanBase Multimodal Store—enabling vector search, full-text search, and JSON table operations—offers both Milvus-compatible API and SQLAlchemy-based SQL mode, and supports both OceanBase and OceanBase seekdb.

Desktop AI agent for Windows — an architecture that expands what any model can do. Image/video OCR, offline speech transcription, an agent-driven browser, real .xlsx/.pptx/.docx output, MCP, and a delegated team of agents. Runs on your machine, with any provider.

Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP


HyDRA: Hybrid Dynamic RAG Agents, An advanced, agentic AI framework that transforms Retrieval-Augmented Generation from a static pipeline into a dynamic, learning reasoning system.

VettIQ is an AI-powered startup idea validation tool that leverages LangGraph workflows, FastAPI, and Streamlit to deliver actionable insights for entrepreneurs

Self-hosted Dakera AI memory server — Docker Compose, Kubernetes, Helm, HA cluster setup, and monitoring.

​LedgerMind — an autonomous living memory for AI agents. It self-heals, resolves conflicts, distills experience into rules, and evolves without human intervention. SQLite + Git + reasoning layer. Perfect for multi-agent systems and on-device deployment.