AI Developer Tool / Agent workflow / private data orchestration
A Claude Code-based operating system for running executive workflows across research, communications, CRM, content, and operations, with a split between a public engine repo and a private data repo.
The page clearly describes an AI-powered developer/productivity system built around Claude Code, with concrete repository structure, installation-related files, and a defined security model for keeping data private. It looks useful for AI builders or operators who want an agent-driven workspace with hooks, scripts, tests, and runtime separation between code and private data.
The snapshot does not show the full quickstart, setup commands, or enough usage examples to tell how easy it is to run. It also does not expose the full browsable documentation site, so visitors cannot verify the available integrations, models, or daemon features from this page alone.
Last evaluated 61 days ago. Current rank #1425. Down 1 spot 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.
