A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.
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Updated
Jul 10, 2026 - Python
A self-learning data agent built with systems engineering principles. It grounds answers in 6 layers of context and improves with every query.
A modern chat interface for AI agents built with Next.js, Tailwind CSS, and TypeScript.
A production-ready runtime framework for agent apps with secure tool sandboxing, Agent-as-a-Service APIs, scalable deployment, full-stack observability, and broad framework compatibility.
An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.
Agent Git: Agent Version Control, Open-Branching, and Reinforcement Learning MDP for Agentic AI. A Standalone Agentic AI Infrastructure Layer for LangGraph Ecosystems
Multi-Agent Blog Generator based on Agno framework. Supports leading LLM providers like OpenAI, Gemini, Claude, and Grok.
Docs for Agno: build multi-agent systems that learn.
Insurance AI Assistant A smart system combining PostgreSQL, Milvus, and specialized AI agents (Life/Home/Auto) to answer insurance queries accurately. Features real-time sync, semantic search via OpenAI embeddings, and a Streamlit UI. Perfect for insurance tech demos or customer service augmentation.
Zerodha MCP Server & Client - AI Agent (w/Agno & w/Google ADK)
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