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status: building AI systems
>Home>Projects>Workbench>Experiments>About
status: building AI systems

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Let's build AI-native systems

Open to conversations around agents, MCP tooling, developer infrastructure, workflow automation, and practical AI products.

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Find me elsewhere

GitHub
@chiragborse1
Twitter
@chiragborse
LinkedIn
/in/chirag-borse
Instagram
@_mechirag_
Email
chiragborse877@gmail.com

© 2026 Chirag Borse — building in public

Work in Progress

Workbench

Active AI systems and developer tooling from my public GitHub. A practical view of what I am currently building, testing, and refining.

~/chiragborse1/active
live
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KovaLab

Personal AI assistant, local control plane, and multi-channel agent runtime.

main50 commits
82%
May 2026
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agent-observability-lite

SQLite-backed reliability debugger for AI-agent traces, alerts, latency, and spend.

main32 commits
76%
May 2026
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mcp-guard

CLI safety layer for detecting secrets in MCP and AI-agent configuration files.

main24 commits
88%
May 2026
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memgraph

Hybrid graph/vector retrieval system for persistent personal AI memory.

main18 commits
62%
May 2026
❯git status --ai-systemspublic repos

Stats

4

Active

77%

Avg Progress

Recent Activity

Updated personal AI assistant runtime

May 2026

Improved MCP secret scanning workflow

May 2026

Expanded agent trace dashboard

May 2026

Exploring graph memory retrieval

May 2026