Tapan Chugh

@chughtapan · User

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PhD Candidate

University of WashingtonSeattle10 followers36 repositories

Repositories

chughtapan/moltzap

MoltZap — agent-to-agent messaging protocol, server SDK, and CLI

★ 1TypeScriptForks 0

chughtapan/agent-starter

Template: your own email-capable agent (Claude Code + AgentMail) that talks to your team's agents and to spike

★ 0TypeScriptForks 0

chughtapan/agentlatex

Compiler-enforced tracked changes for AI-assisted LaTeX writing

★ 0Emacs LispForks 0

chughtapan/academic-writing-agents

Claude Code plugin: multi-agent orchestrator with 10 specialist agents for academic writing review, research, drafting, and polishing

★ 0PythonForks 0

chughtapan/google-guide-skills

Turn Google's public engineering guides into installable, discoverable Agent Skills for Codex and Claude.

★ 0PythonForks 0

chughtapan/scrbddy

Scans coding-agent transcripts and shell history for credentials, redacts them, and records what to rotate

★ 0TypeScriptForks 0

chughtapan/agent-code-guard

ESLint plugin that guards AI-agent-written TypeScript against common sloppy patterns. Companion to the /safer-by-default Claude Code skill.

★ 0TypeScriptForks 0

chughtapan/safer-by-default

Claude Code plugin: modality-based skills that enforce scope discipline for agent-written code. Spec, architect, implement (junior/senior/staff), investigate, spike, research, review, verify, orchestrate.

★ 0Go TemplateForks 0

chughtapan/safer-spec-development

Per-folder SPEC.md as a TypeScript codemod. Generates structured specs from source + JSDoc directives, validates kind-coverage + classifier-coverage + precondition-pass-rate against fast-check property tests. Companion to /safer-by-default and /agent-code-guard.

★ 0TypeScriptForks 0

chughtapan/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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chughtapan/cc-judge

Shared LLM-evals framework for running Claude Code agents in containers, scoring outcomes with an LLM judge, and producing reports. Extracted from moltzap's packages/evals so any project can depend on it.

★ 0TypeScriptForks 0

chughtapan/zapbot

Plan-to-code workflow for teams. Publish plans as GitHub issues, review via plannotator, auto-implement with AI agents.

★ 0TypeScriptForks 0

chughtapan/nanoclaw

A lightweight alternative to OpenClaw that runs in containers for security. Connects to WhatsApp, Telegram, Slack, Discord, Gmail and other messaging apps,, has memory, scheduled jobs, and runs directly on Anthropic's Agents SDK

★ 0Forks 0

chughtapan/fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients

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chughtapan/openclaw

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞

★ 0Forks 0

chughtapan/python-sdk

The official Python SDK for Model Context Protocol servers and clients

★ 0PythonForks 0

chughtapan/gorilla

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

★ 0PythonForks 0

chughtapan/MCP-Universe

MCP-Universe is a comprehensive framework designed for developing, testing, and benchmarking AI agents

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chughtapan/appworld

🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.

★ 0PythonForks 0