Developer Tool / AI Memory / Agent Infrastructure
A no_std Rust memory engine for on-device LLM agents that uses provenance-aware recall to keep a model’s own output from becoming evidence.
The page clearly describes a real AI-adjacent developer tool with a specific job: embedded memory for LLM agents. The README shows how it works, what problem it solves, supported targets, a C API, examples, tests, and reproducible measurement claims, which is enough for a useful public listing.
The project is still marked as a prototype, and the page says it has not been hardware-tested or fuzzed. It also does not show a packaged release, hosted docs site, or a simple end-user demo beyond the repo examples.
Last evaluated 5 days ago. Current rank #1091. Down 3 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.
