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vrknetha/README.md
Website LinkedIn X Email

$ whoami

VP Engineering @ KnackLabs (part of CAW Studios). Hyderabad.

I build AI agent infrastructure. Identity protocols. Cross-platform messaging. MCP contributor. Rust when it matters. TypeScript when it doesn't. LangChain Ambassador on the side.

I run an AI assistant from a spare MacBook that manages my LinkedIn, reviews my code, screens CVs, finds leads, and occasionally roasts my bad decisions.

$ cat /proc/current

Clawdentity — cryptographic identity + secure messaging for AI agents. Per-agent DIDs, Ed25519 signing, WebSocket relay, cross-platform webhooks. 12K lines of Rust. 70 tests. IETF Internet-Draft published. Works on OpenClaw, PicoClaw, NanoBot, NanoClaw. One binary. Zero deps.

upsk.to — an engineering bootcamp with no lectures and no videos. Your coding agent is the instructor — it teaches through conversation, remembers how you learn, and scores on evidence. Rust CLI + Cloudflare Workers behind it, pure conversation in front. Works with Claude Code, Codex, Cursor. Paste one prompt to start.

$ ps aux | grep knacklabs
PID Process What it's running
1 symphony-forge The assembly line for agent-built software. Claude Code plans, Codex executes, deterministic gates enforce sign-off → plan → build → ship. Adversarial "grill" review before every handoff.
2 gantry Self-hosted runtime for production AI agents. Sandboxed workers, capability grants, memory that survives model swaps. Slack / Teams / Telegram / Discord.
$ ls ~/projects --sort=stars
Project What Stars
openclaw Personal AI assistant runtime. Shipped Plivo voice calls, /bash command, tool-failure surfacing.
firecrawl-mcp-server Web scraping for AI assistants. Led initial implementation.
langchainjs-mcp-adapters MCP ↔ LangChain bridge. Contributor.
clawdentity Agent identity protocol + Rust CLI.
$ cat /etc/opinions
  • Small fine-tuned models on tool calling > generic large models for most workflows
  • Nobody talks about the interface problem. Your agent is smart. Your users don't know what to ask.
  • Everyone demos. Nobody ships. It breaks at the boring stuff — config, auth, retries, edge cases.
  • Data quality > model size. Always.
  • CLI agents are general-purpose. Not "coding tools."
$ uname -a
GitHub Stats
Streak Stats
Activity Graph
$ history | tail -5
  • Launched upsk.to — bootcamp where the coding agent is the instructor
  • Shipped Gantry — self-hosted agent runtime, prepping open-source release
  • Built Symphony Forge — the harness KnackLabs ships every project through
  • Published Clawdentity IETF Internet-Draft (RFC for agent identity)
  • Running 15+ automated cron jobs from an AI assistant on WhatsApp

Pinned Loading

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    Bridge package enabling seamless integration between Model Context Protocol (MCP) servers and AI SDK tools. Supports multiple server types, real-time communication, and TypeScript.

    TypeScript 23 3

  2. langchain-ai/langchainjs-mcp-adapters langchain-ai/langchainjs-mcp-adapters Public archive

    ** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applicat…

    TypeScript 247 37

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  4. firecrawl/firecrawl-mcp-server firecrawl/firecrawl-mcp-server Public

    🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.

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