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robbyczgw-cla/README.md

Robby

Agentic engineer building practical AI systems around OpenClaw, Hermes, and real-world automation.

I work on agent tooling, memory systems, search/retrieval, messaging integrations, and workflows where AI agents don't just chat — they monitor, reason, remember, and ship.


Focus

Agent tooling · memory systems · search & retrieval · messaging integrations · workflow automation · MCP servers · multi-platform plugins


Featured Work

Three pillars across the agent stack — interfaces, tools, autonomy.

🔍 Agent Tools & Retrieval

web-search-plus — Multi-provider search engine for AI agents. One engine, three deployments:

Platform Repo Stars
Hermes hermes-web-search-plus 136
OpenClaw web-search-plus-plugin 27 ⭐
MCP server uvx web-search-plus-mcp

10 providers · intelligent auto-routing · extraction · opt-in research mode · 47 tests · multi-LLM fallback chains.

🧠 Agent Memory & Autonomy

  • lucid-dreamer — Nightly memory reasoning. Auto-cleans agent memory while you sleep.
  • skillminer — Autonomous skill proposal. Scans memory, detects patterns, drafts new skills for human review.
  • topic-monitor — Scheduled topic monitoring with AI importance scoring. Featured on DigitalOcean.
  • agent-chronicle — AI-perspective diary. Captures quotes, curiosities, decisions, relationship evolution.
  • roundtable — Multi-agent debate council (Scholar, Engineer, Muse).

💬 Agent Interfaces

  • OpenCami — Web client for OpenClaw. Real-time streaming, smart titles, TTS, file explorer, persona picker, conversation search & export, PWA support, dashboard panel.

    curl -fsSL https://opencami.xyz/install.sh | bash

What I'm good at

  • Agent tool design — turning APIs, workflows, and services into reliable agent tools
  • Memory and context systems — durable facts, review loops, cleanup, retrieval hygiene
  • Search and research infrastructure — multi-provider routing, extraction, scoring, monitoring
  • Messaging integrations — Telegram, Discord, mobile-first agent workflows
  • Shipping small systems fast — web clients, plugins, skills, dashboards, automation glue

Credibility

  • OpenClaw contributor — 20+ merged PRs covering Telegram, Discord, session management, formatting, bug fixes. experienced-contributor · Clawborator role.
  • 50k+ downloads across 12 published OpenClaw skills — indexed at openclawskills.xyz.
  • Hermes Agent ecosystem — featured in awesome-hermes-agent.

More: OpenClaw skills · Hermes plugins


How I build

I use AI agents as collaborators, not autopilot.

My workflow: design the system, let agents accelerate implementation and research, review every commit, test the behavior, and ship the parts that hold up. The interesting work is not prompting — it's engineering reliable loops around agents so they can be useful in production workflows.

I work across three platforms — OpenClaw, Nanoclaw, Hermes — each suited to a different workflow. Human decisions, agent-assisted execution, tight feedback loop.


Stack

Python (engines, MCP servers) · TypeScript (plugins, web) · React + React Native (clients, mobile) · Node.js · Vite · Expo · SQLite · async-everywhere · multi-LLM orchestration with fallback chains.


websearchplus.xyz · openclawskills.xyz · Graz, Austria

Pinned Loading

  1. web-search-plus-plugin web-search-plus-plugin Public

    OpenClaw plugin for multi-provider web search and extraction: 10 search providers, 5 extract providers, intelligent routing, quality reports, and research mode.

    TypeScript 27 4

  2. hermes-web-search-plus hermes-web-search-plus Public

    Hermes Agent flagship plugin for multi-provider web search and extraction with intelligent routing, quality reports, and research mode.

    Python 157 11

  3. opencami opencami Public

    Web chat client for OpenClaw – AI chat interface with PWA support, smart titles, follow-ups & more 🦎

    TypeScript 30 4

  4. lucid-dreamer lucid-dreamer Public

    Nightly memory reasoning for AI agents — background review, pattern detection, and autonomous memory improvement

    Python 1