AI Agent Engineer Projects in BengaluruAI Agent Engineer Projects in BengaluruminiSara Personal AI OS — AI-Powered Personal Assistant
miniSara Personal AI OS is an AI-powered personal productivity platform designed to bring conversations, AI agents, personal knowledge, tasks, projects, automation, and integrations into one intelligent workspace.
The platform is designed around a Think → Remember → Plan → Act workflow, allowing AI agents to understand context, retrieve relevant knowledge, plan tasks, use tools, and execute approved actions.
Key capabilities:
AI Agent orchestration
Personal knowledge and memory
AI-powered task and project management
Workflow automation
Tool calling and integrations
Multi-model AI support
Local-first and privacy-focused architecture
Permission and approval-based actions
Cross-platform experience
My role: Product architecture, AI agent architecture, TypeScript engineering, orchestration, tool systems, UX architecture, and end-to-end product development. Ever watched an AI write bad SQL, instantly realize its mistake, and rewrite it perfectly—all without human intervention?
Over the weekend, I built the Autonomous Data Analyst Agent. It doesn’t just translate natural language to SQL; it actively debugs itself.
𝗧𝗵𝗲 𝗣𝗿𝗼𝗯𝗹𝗲𝗺: Enterprises want AI to query their proprietary databases, but LLMs often hallucinate columns or mess up syntax.
𝗧𝗵𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: I engineered a Self-Correcting Reflection Loop using LangGraph.
Here’s what happens under the hood:
1️⃣ You ask a complex question in plain English.
2️⃣ The LLM generates DuckDB-flavored SQL.
3️⃣ The Executor node runs it securely in a local container.
4️⃣ 🔄 𝗧𝗵𝗲 𝗠𝗮𝗴𝗶𝗰: If DuckDB throws a parser error, the Reflection node catches it, feeds the error trace back to the LLM, and auto-corrects the query. 5️⃣ Once successful, a Python agent generates a Matplotlib visualization, streaming everything to a sleek Next.js dark-mode UI.
Plus, I integrated LangGraph MemorySaver, allowing the agent to retain context for human-like follow-up questions.
𝗧𝗲𝗰𝗵 𝗦𝘁𝗮𝗰𝗸: Next.js, FastAPI, LangGraph, DuckDB, Groq (Llama-3), Docker Compose.
Everything is fully containerized and open-source.
Drop a ⭐ on the repo and let me know what you think!
𝗚𝗶𝘁𝗛𝘂𝗯 𝗥𝗲𝗽𝗼: https://lnkd.in/ddnE9rgq
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