Thanks to visit codestin.com
Credit goes to github.com

Skip to content

Latest commit

 

History

28 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 

Repository files navigation

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

About

No description, website, or topics provided.

Resources

Stars

0 stars

Watchers

1 watching

Forks

Releases

Packages

Contributors