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  • RapidClaw (rapidclaw.dev)
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  • arcane-bear (Tijo Gaucher) · GitHubInstagramLinkedInX - github.com rapdiclawdev
  • arcane-bear (Tijo Gaucher) · GitHubInstagramLinkedInX - github.com in/tijo-bear
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arcane-bear/README.md

Hey, I'm Tijo 👋

AI Architect & Co-Founder at RapidClaw

Building the future of AI Agent deployment — from zero to production in 60 seconds.


🚀 RapidClaw

RapidClaw is an AI Agent deployment platform that makes it dead simple to ship, scale, and monitor AI agents in production.

🔧 Open Source

  • agent-router — Lightweight multi-agent task router for Python. Pluggable intent classification, built-in agents, zero required deps.
  • agent-memory — Persistent vector memory server for AI agents. SQLite + numpy cosine search, namespaces, TTL, REST API.
  • agent-flow — Define, execute, and visualize multi-step AI agent workflows as a DAG. Export to interactive HTML, Mermaid, or JSON.
  • agent-bench — Benchmark LLM agents across providers on speed, cost, and quality. Built-in suites for reasoning, coding, writing, and tool-use.
  • webhook-agent — Webhook-to-AI-agent bridge. Receive webhooks (Stripe/GitHub/forms), map events to agent handlers, execute automated responses.
  • agent-watchdog — Lightweight heartbeat monitor for AI agent loops. Dead man's switch for agent processes with live Rich dashboard.
  • agent-cost-cli — Instant LLM cost breakdown for 15+ models from the command line. pip install git+https://github.com/arcane-bear/agent-cost-cli
  • awesome-self-hosted-agents — Curated list of open-source tools and frameworks for running AI agents fully self-hosted.
  • llm-budget — CLI tool for tracking per-agent LLM spend with budget alerts and 30+ model pricing built in
  • hermes-starter — Docker Compose quickstart for Nous hermes-agent with Ollama, config templates, and setup scripts
  • agent-probe — Health check sidecar for AI agents. Verifies LLM connectivity, token budgets, tool availability, and response quality beyond simple HTTP 200.
  • openclaw-tools — OpenClaw AI Token Cost Calculator and developer tools.

🔗 Connect

Pinned Loading

  1. agent-cost-cli agent-cost-cli Public

    CLI tool to calculate LLM API costs for AI agent workloads

    Python

  2. agent-bench agent-bench Public

    Benchmark LLM agents across providers on speed, cost, and quality — with a report card.

    Python

  3. agent-flow agent-flow Public

    Define, execute, and visualize multi-step AI agent workflows as a DAG. Export to interactive HTML, Mermaid, or JSON.

    Python

  4. agent-router agent-router Public

    Lightweight multi-agent task router for Python — pluggable intent classification, built-in agents (research/coder/writer/analyst), zero required deps.

    Python

  5. agent-memory agent-memory Public

    Lightweight persistent memory server for AI agents — vector similarity search over SQLite, with a REST server and a drop-in Python library.

    Python

  6. webhook-agent webhook-agent Public

    Webhook-to-AI-agent bridge: receive webhooks (Stripe/GitHub/forms/...), map events to AI-agent handlers, execute automated responses.

    Python