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himanshu748/README.md

Himanshu Jha

AI agent developer · Memory systems · Developer relations

I build agents that use tools, remember context, and ask before they act. My work spans native macOS apps, MCP and WebMCP interfaces, memory governance, durable workflows, and backend engineering. I also turn the failures and design decisions into technical guides developers can use.

I publish as Himanshu Kumar and himanshu748.

Engineering portfolio · Build case studies · DevRel portfolio · Writing · LinkedIn · Resume · Email

Agent engineering: recall sources, inspect tool contracts, approve actions, and keep evidence.

Static diagram

Selected agent systems

OmniDev — a native agent for your Mac

Search files and screenshots with citations, edit code, and run tests through scoped tools and approval prompts. A shared local knowledge engine serves both the SwiftUI app and external MCP clients. Ollama mode runs inference locally; cloud inference is optional.

SwiftUI · Python · FastAPI · SQLite · Ollama · MCP
Engineering case study · Product and real app recordings · Architecture

System The engineering problem Start here
Graft Turn semantic HTML into reviewed WebMCP contracts; inspect evidence, export an adapter, and verify the deployed tools. Case study · Workbench
ContextFirewall Check recalled memory for stale facts, contradictions, secrets and missing evidence before assembling an agent's context. Case study and evidence
VOX Voice-to-plan support workflows with explicit approvals, persisted results and a spoken briefing. Built with Mastra, Temporal, Gemma and ElevenLabs. Case study · Judge demo — fictional tickets; customer sends are simulated

Writing that goes inside the system

Developer relations, backed by engineering

I help AI and developer-tool teams turn product capabilities into working integrations, technical tutorials, API documentation, sample apps, and inspectable demos. I work across Python, TypeScript, SwiftUI, FastAPI, React, SQL, MCP, WebMCP and OpenTelemetry.

Open to AI agent engineering, developer relations, and technical writing contracts. Tell me what you're building →

Open source and recognition

Support the work

GitHub Sponsors helps support more open-source tools and practical guides. Thank you to Cap, my first GitHub sponsor.

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  1. flatpack flatpack Public

    Local prototype that turns narrated how-to videos into printable illustrated instructions with Livepeer Agent and ffmpeg.

    JavaScript

  2. pixel-digit-recognizer pixel-digit-recognizer Public

    Browser-only MNIST digit recognizer where Pyodide runs a pure NumPy neural network with no backend or API calls.

    Python 4

  3. ContextFirewall ContextFirewall Public

    MCP prototype that checks agent memory for stale facts, contradictions, secrets and missing evidence using Cognee.

    Python

  4. omnidev omnidev Public

    Native macOS AI assistant for file and screenshot search, cited answers, code edits and tests. Local Ollama inference; optional cloud provider.

    Python 1

  5. otel-swarm otel-swarm Public

    OpenTelemetry instrumentation for multi-agent LLM workflows, model fallbacks and review events, with SigNoz dashboards and alerts.

    JavaScript

  6. rs800 rs800 Public

    Heat-aware work-planning prototype using OR-Tools: schedules jobs, travel and rest, and reports unmet income targets. English and Hindi.

    TypeScript