Developer Tool / AI Agent Infrastructure
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
The page shows a real AI-adjacent product with a defined use case: delegated spending for agents. It includes enough README detail to understand how it works, how to run it, what tools it exposes, and how it fits into an agent workflow. The project also has concrete implementation and documentation evidence, including quickstart steps, MCP setup, repository layout, and a live test-mode status.
The snapshot does not show production availability or supported merchants beyond the test-mode/Stripe-based flow. It also does not make it easy to tell how mature the protocol is outside the demo environment or what integrations are already maintained in practice.
Last evaluated just now. Current rank #19. Down 2 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
