Multi-agent memory governance demo using MemClaw + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.

Persistent local memory across LLM agents, CLIs, coding tools, and developer workflows.

Markdown-only "Second Brain" convention for AI coding agents — one folder, one contract, so every agent recovers the same stack, conventions, decisions, memory, and implementation history across sessions and tools.

A lightweight file-based memory system for AI and coding agents, with personal config, project templates, task handoffs, and multi-agent workflows.multi-agent-memory-system

Personal LLM-maintained knowledge vault - a Memex for the agent era.

Local-first Obsidian memory and handoff layer for AI coding agents.