Claude Pulse Browser Extension Surfaces Token Counts, Cache Timers, and Rate Limits on Claude.ai
Frustrated by hitting the 5-hour limit mid-conversation with no visibility into token or context usage, a developer built Claude Pulse — a Chrome extension that adds a small dashboard to claude.ai.
Key Features
- Real-time token counts per message and total context used
- Prompt cache window timer showing when caching is about to expire
- Rate limit progress bar tracking usage against limits
- Chat export to Markdown format without copy-pasting
All processing is client-side — no data leaves your browser. Token counts are approximations using a tiktoken-style method since Anthropic doesn't expose exact numbers in the UI; the developer estimates error within a few percent.
Open Source & Future Plans
Source available on GitHub: samirpatil2000/claude-pulse. The author describes it as "rough around the edges" and is considering adding per-conversation cost estimates, but is unsure if that would be useful or just noise.
📖 Read the full source: r/ClaudeAI
👀 See Also
Setting Up OpenClaw as an Always-On AI Assistant
OpenClaw, configured as an always-on AI assistant for a small dev team, is set up on a Railway server with Claude as the backend and integrates with Google Workspace, GitHub, and more.
git-courer: An MCP Server That Forces AI Agents to Write Proper Git Commit Messages
git-courer is a local MCP server in Go that intercepts diffs from AI coding agents and translates them into structured, human-readable commit messages with WHY and WHAT sections.
Open-source multi-agent framework extracted from Claude Code leak
A developer extracted the multi-agent orchestration system from Claude Code's leaked source code and rebuilt it as a model-agnostic open-source framework with MIT license. The 8,000-line TypeScript framework includes task scheduling, inter-agent messaging, and built-in tools.
Exasol Releases MCP Server for Database Context in AI Agent Workflows
Exasol has released an MCP Server that enables databases to provide context to AI agents about available data, business rules, and safe interaction methods. The server is read-only by default, supports high-concurrency workflows, and can be deployed on-prem, in cloud, or hybrid environments.