BridgeBase – one control plane for TigerBeetle,Redis,MySQL,ClickHouse
Control plane for multi-database chaos—real pain, but execution is beta-only.

PII-blocking precheck + centralized memory across any AI provider beats building this yourself.
Enterprise teams running multiple AI agents, AI platform managers, compliance officers
Anthropic Workbench · LangSmith · Vercel AI Platform
It's essentially an AI OS layer that sits above the providers:
- Unified authentication across OpenAI, Anthropic, Google - Persistent memory management that follows you across models - A precheck service that catches PII before it hits any API - Budget enforcement and human-in-the-loop confirmation workflows - A browser extension (pii-guard) that intercepts at the input level
The architecture is documented in a paper I submitted to arXiv if you want to go deep on the design decisions.
Happy to answer questions about the infra choices, the memory layer, or why I built on top of providers instead of picking one.
Github: https://github.com/Governs-AI
Control plane for multi-database chaos—real pain, but execution is beta-only.
Embryonic service auth library that explicitly warns against production use.
Firebase alternative, but Firebase, Supabase, and Appwrite already dominate this space.
LevelDB-backed workspace memory with unified diff patching for agent state.
OWASP-backed security layer specifically for AI agent memory poisoning risks.
C++ async runtime with reference-counted memory, but replaces what async/await already solved.