AI Developer Tool / AI Gateway / RAG Backend
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.
The page clearly describes a real AI product aimed at builders: a self-hosted gateway with an OpenAI-compatible API, private RAG, natural-language access to internal data, and tool-calling agents. It shows concrete usage details, deployment options, supported models/providers, and production-oriented features like RBAC, SSO, quotas, audit logs, and metrics, which makes it strong enough for a public listing.
The snapshot does not show pricing, licensing details beyond the repo header, or a concise product roadmap. It also does not fully explain the adapter/YAML setup beyond the quick-start examples, so a visitor cannot tell how much configuration is needed for non-demo deployments.
Last evaluated just now. Current rank #59. Holding steady 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.
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.
