Developer Tool / AI Agent Framework / Control Harness
BOUND is a deterministic control harness for AI agents. It sits between agent execution and the next decision, using observable evidence to choose ACCEPT, RETRY, REPLAN, or ROLLBACK.
The page clearly presents an AI-adjacent developer tool with a specific job: controlling agent execution through deterministic decisions. The snapshot includes a solid README-style explanation, install paths for ChatGPT Skills and skills.sh-compatible agents, and enough usage context to support a useful directory listing.
The crawl shows the core idea and installation flow, but not the full implementation details from the README, such as the complete scoring model, supported environments beyond the named agents, or concrete end-to-end examples of it running in a real project.
Last evaluated 44 days ago. Current rank #1352. Up 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.
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.
