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Meet Drox Dynamics, the AI-powered browser that takes care of tasks for you. No more endless clicks, tell it what you need, and it gets it done.

Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.

Production-tested multi-agent orchestration with self-evolution, cognitive memory v9 (trust scoring, quarantine, dream consolidation), governance-first architecture, and native sub-agent gateway. 11 agents, 30 skills, 44+ scripts.

Phylogenic AI Agents: Genetic evolution for AI personalities. Self-optimizing agents with liquid memory, ML analytics, and evolutionary optimization. Beyond prompt engineering. A steps towards glass-box AI.

The complete Swift platform for Claude AI — SDK, agent framework, RAG memory, and SwiftUI components. The first and only Swift agent framework. Zero dependencies.

A file-driven agent orchestration framework that enables technical startups to run their operations through Claude Code.

The open framework for extensible & grounded AI agent orchestration.

Sample application for using Azure Managed Redis with Microsoft Agent Framework for Agent memory.

Agent-Native Organization framework — build organizations where AI agents are first-class members with roles, governance, onboarding, and deployment channels.

Modified Zero Agent: improved prompts (default, agent_research and hacker)

Fault-tolerant AI agent orchestration for Go with Erlang-style supervision

An open-source engineering blueprint for defining and designing the core capabilities, boundaries, and ethics of any AI agent.

A Python-based Agentic RAG system that uses local LLMs (Ollama) for intelligent documentation crawling, summarization, and vector embeddings (Supabase). Features a self-correcting agentic loop that dynamically refines answers through tool usage and validation, providing a robust, local solution for accurate information retrieval and generation.

Universal autonomous agent framework with ReAct loop, multi-provider LLM routing, reasoning graph, and MCP integration, domain-agnostic for building specialized AI agents.

AgentLens — Observability and Explainability for AI Agents

🤖 AI-powered software development pipeline driven by 6 specialized agents. Transforms plain English requirements into production-ready code — fully automating planning, development, code reviews, and deployment configs using Next.js and Groq's Free API.

Lightweight multi-agent orchestration framework. Define agents, chain them into workflows, and manage state across handoffs — sequential, parallel, and conditional execution.

A zero-trust encrypted transport layer for AI agents and tools, with AES-GCM encryption, HMAC signing, and identity-aware JSON-RPC messaging.

Expressive and intuitive way to model complex AI workflows.

Dual-interface AI platform: CLI agent (Iolaus) + web command center (Zeus). Event-driven microservice architecture with real-time WebSocket communication.