AI Developer Tool / Multi-Agent Orchestration
Self-hosted multiplayer AI workspace in Python for team-based agent collaboration, with governed actions, real-time shared rooms, and a tamper-evident audit log.
The page clearly presents an AI-powered product aimed at builders and technical teams, with concrete visible evidence of what it does, how to try it, and how it is built. It explains the multiplayer workspace model, human approval flow, event-sourced room history, hash-chained logs, and self-hosted setup options, which is enough for a useful directory listing.
The crawl does not show screenshots or a full getting-started guide, so a visitor still cannot see the UI or judge setup difficulty beyond the demo Docker command. The page also does not make the model/runtime requirements fully explicit for production use.
Last evaluated just now. Current rank #417. Up 2 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.
