AI Developer Tool / Agent Security / Authorization
Runtime authorization platform for AI agents with open-source SDKs in Python, TypeScript, Go, Java, and Rust. The page says the hosted service is in production, supports per-action checks, scoped delegation, revocable tokens, and a shared authorization model across MCP tools, agent-to-agent calls, and direct API integr
The page clearly describes an AI-focused product, not just a concept: a runtime authorization layer for agent actions. It shows concrete shipping evidence, including published SDKs, open-source licensing, a hosted beta, and specific capabilities like pre-flight checks, scoped delegation, and revocable tokens. There is enough detail to support a useful public listing.
The page is still light on buyer-facing details such as pricing, exact API/docs coverage, supported integrations, and a concrete walkthrough of how a developer would implement policy decisions in practice.
Last evaluated 84 days ago. Current rank #923. Down 6 spots in the rankings.
A local-first Node.js utility that redacts emails, phone numbers, paths, secrets, URLs, and other identifiers from LLM prompts, then rehydrates responses locally using session-based mappings.
Self-hosted, OpenAI-compatible AI gateway for private RAG, natural-language data access, and tool-calling agents. It connects files, databases, vector stores, APIs, and MCP tools through one backend with auth, observability, and governance features.
A Claude Code skill that lets the model inspect live camera frames so it can verify hardware displays, spot wiring issues, and check physical UI behavior on real devices.
Runtime safety net for LLM agents that detects runaway token growth, classifies failure patterns, and suggests fixes without extra LLM calls. The project includes a Rust core, Python SDK, examples, benchmarks, and benchmark claims across multiple models and runs.
