Chirag BorseAI Systems Builder

Building AI-native

I build modern AI systems, orchestration runtimes, developer tooling, and terminal-native workflows. My work sits around AI agents, MCP tooling, persistent memory, and local-first infrastructure.

TypeScriptJavaScriptNode.jsReactNext.jsPythonFastAPIAI Agents
terminal://chiragborse1
Chirag Borse
┌───────────────────────┐
│  ██████╗███████╗      │
│ ██╔════╝██╔════╝      │
│ ██║     █████╗        │
│ ██║     ██╔══╝        │
│ ╚██████╗██║           │
│  ╚═════╝╚═╝           │
│                       │
│  > agents: active     │
│  > status: building   │
└───────────────────────┘
AI Systems Builder
Mumbai, India

Systems

AI Projects & Tools

Featured
in-progress
2026

Kova

Personal AI assistant and control-plane experiment for multi-channel, always-on workflows across terminal and messaging surfaces.

10
TypeScriptAI AgentsCLINode.jsGateway
in-progress
2026

KovaHub

Kova-compatible marketplace for publishing, discovering, and installing plugins, bundle plugins, and skills.

00
TypeScriptReactFastifyPostgresMarketplace
in-progress
2026

MemGraph

Graph-RAG powered personal AI memory system combining Neo4j, pgvector, entity relationships, and hybrid retrieval.

00
PythonGraph-RAGNeo4jpgvectorFastAPI
shipped
2026

MCP Guard

Security-focused Python CLI that scans MCP and AI-agent configs for leaked API keys, secrets, and credentials before they reach GitHub.

10
PythonMCPSecurityCLISecret Scanning
in-progress
2026

Agent Observability Lite

Local-first dashboard and API for tracing AI-agent runs, inspecting failures, tracking latency, and debugging workflow reliability.

10
TypeScriptNext.js 16SQLitePrismaAgents
shipped
2026

Content Hub

Progressive web app for creators to save ideas, organize references, track tasks, and manage content workflows from one dashboard.

10
TypeScriptReactSupabasePWATailwind
prototype
2026

AI Customer Support ChatBot

Self-hosted customer support chatbot built from scratch with LLaMA 3, FastAPI, session memory, and structured knowledge retrieval.

00
PythonFastAPILLaMA 3RAGOllama

Current Focus

AI Experiments

The areas I keep testing, breaking, and rebuilding while learning how practical AI systems should work.

agentsNow

Multi-agent orchestration

Designing workflows where agents can coordinate, hand off state, and recover from tool failures.

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developer toolingNow

AI-native terminal workflows

Building command-line experiences that make AI systems feel local, fast, inspectable, and scriptable.

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memoryNow

Runtime memory systems

Exploring graph memory, hybrid retrieval, entity relationships, and long-lived context for AI assistants.

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mcpNow

MCP ecosystem tooling

Shipping security and workflow tools around MCP servers, agent configs, and local AI development stacks.

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