Hemanth HM
@hemanth
A computer polyglot CLI, web and FOSS philosopher. Google Developer Expert. Google LaunchPad Mentor Community leader @duckduckgo Delegate at @tc39
26
Published Tools
1,572
Total Stars
1,057
Weekly Downloads
3,009
GitHub Followers
457
Public Repos
100/100
Avg Security
Published Tools
11 MCP Servers13 Skills2 Agentsacross 10 categorieshemanth
A comprehensive Model Context Protocol (MCP) server implementing the latest specification.
Hemanth Asirvatham, Elliott Mokski
LLM-based library to measure quantitative attributes on qualitative data
hemanth
A web-based client for connecting to MCP servers with OAuth support
hemanth
A harness-engineered AI agent runtime. Build agents with tool isolation, self-correction, and permission scoping out of the box.
...morehemanth
webmcp-bridge is a WebMCP-focused browser app that turns remote MCP servers into browser-usable tool context, so you can discover capabilities, execute them, and expose them through navigator.modelContext for next-gen browser AI workflows.
...morehemanth
Connect any MCP server to Chrome's WebMCP API
hemanth
Turn prompts, remote MCP connectors, and SKILL.md rules into curlable serverless agent endpoints, MCP servers, Google A2A v1.0 peers, and OpenAI v1 SDK facades.
...morehemanth
Remote MCP server for Cloudflare Connect 2026: ask your agent what to attend.
Hemanth HM
Check if an AI model fits the browser hardware (WebGPU, WASM, RAM, shader-f16).
The best RAG interface yet - Built-in vector store, embeddings, citations, and auto-updates
hemanth
Framework-agnostic utilities for loading and running ML models in the browser via WebGPU/WASM
hemanth
Browser & Node voice cloning SDK powered by Pocket TTS / ONNX Runtime. Clone any voice from a short audio clip and generate speech — entirely client-side.
...moreHemanth Reddy
Model Context Protocol server for Sprint Sync — lets Claude Code, Cursor and other AI tools read and file work directly into your board.
...morehemanth
Classify Hugging Face datasets across typed semantic dimensions with TypeSafe Jev System One
hemanth
Fast, calibrated tool selection and schema pruning for AI agents using TypeSafe System One and TurboQuant vector search.
Hemanth Dhanasekaran
Is your LLM judge flaky? Re-run any evaluator across runs and judge models and get a reliability card: flip rate, agreement, drift, and the cases that flip.
...more