CostClaw: Free Local Cost Tracking Dashboard for OpenClaw Agents
What CostClaw Does
CostClaw is a free, local cost tracking dashboard for OpenClaw agents that requires no account. It captures every LLM call via OpenClaw's native hooks with zero configuration needed. All data stays local in SQLite with nothing sent anywhere.
Features
- Live dashboard at localhost:3333 with model breakdown, per-session costs, and hourly spend chart
- Shows cost split by trigger: user message / heartbeat / cron / subagent
- Generates specific recommendations based on your actual usage
- Developer is happy to add model pricing if yours shows $0.00
Installation
Install takes 60 seconds with these commands:
git clone https://github.com/Aperturesurvivor/costclaw-telemetry.git
cd costclaw-telemetry && npm install && npm run build
openclaw plugins install -l . && openclaw gateway restartReal-World Impact
The developer discovered their heartbeat agent was running Claude Sonnet every 3 minutes 24/7 even when they weren't using it, burning $60/month doing nothing. Switching it to Haiku for the keep-alive check cut their bill by approximately 65%.
📖 Read the full source: r/openclaw
👀 See Also
MonClaw: A Minimal OpenClaw Implementation Using OpenCode SDK
A lightweight alternative to OpenClaw built on the OpenCode SDK, featuring Telegram and WhatsApp support.
GoModel: A Lightweight Open-Source AI Gateway Written in Go
GoModel is an open-source AI gateway that provides a unified OpenAI-compatible API for multiple providers including OpenAI, Anthropic, Gemini, Groq, xAI, and Ollama. It features a 17MB Docker image, 44x smaller than LiteLLM, with environment-variable-first configuration and built-in observability.
Relational Memory for LLMs: Three-Layer System Models User Relationships
An open-source Python tool that adds relational memory to LLMs by modeling user-AI relationships across seven psychological dimensions, using a three-layer narrative structure instead of flat fact storage.
Claude Code skill combines DeepMind Aletheia and Anthropic harness approaches
A Claude Code skill implements a Planner→Generator→Evaluator→Reviser pipeline that synthesizes DeepMind's Aletheia math research agent with Anthropic's multi-agent coding architecture, adding blind pre-analysis where the evaluator reasons about correct approaches before seeing candidate code.