Developer Tool / LLM middleware
A local Rust-plus-Python middleware layer for LLM apps that claims to reduce token usage and add in-process security checks before prompts are sent to a provider.
The page clearly describes a real AI developer tool with a specific job: harden and compress LLM payloads locally before sending them to a provider. The README shows usage examples, supported integration styles, and concrete benchmark claims, giving enough evidence for a useful directory listing.
The snapshot shows strong claims and examples, but visitors still cannot tell how easy it is to install, what the dependency/runtime requirements are, or how stable the project is for production use beyond the reported tests and benchmarks.
Last evaluated 46 days ago. Current rank #838. Down 6 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.
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.
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.
