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From brainbrew-devkit
Enables inter-agent communication via Memory Bus using MCP tools like memory_add, memory_list, memory_clear. Targets: global/next/agent:NAME; persistence: session/once/permanent.
How this skill is triggered — by the user, by Claude, or both
Slash command
/brainbrew-devkit:memoryThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
**Use MCP tool `memory_add`:**
Use MCP tool memory_add:
mcp__brainbrew__memory_add(
content: "Fix the auth bug in login.ts",
target: "agent:implementer",
persistence: "once"
)
| User says | MCP call |
|---|---|
| "Remember to use TypeScript" | memory_add(content, target: "global", persistence: "permanent") |
| "Tell implementer to fix auth" | memory_add(content, target: "agent:implementer", persistence: "once") |
| "Next agent should check security" | memory_add(content, target: "next", persistence: "once") |
| "For this session, focus on perf" | memory_add(content, target: "global", persistence: "session") |
| "What do you remember?" | memory_list() |
| "Clear memory" | memory_clear() |
| "Forget the TypeScript rule" | memory_clear(...) then re-add without it |
| Target | Who receives |
|---|---|
global | All agents |
next | Next agent only |
agent:NAME | Specific agent (e.g., agent:implementer) |
chain:NAME | All agents in chain |
| Type | Behavior |
|---|---|
session | Default - cleared on exit |
once | Consumed after delivery (queue) |
permanent | Forever (rules, knowledge) |
Use priority: "urgent" for critical messages that should be highlighted.
npx claudepluginhub brainbrewlabs/brainbrew-devkit --plugin brainbrew-devkitPersistent, user-owned memory for AI agents via hosted MCP. Use when an agent should remember decisions, recall project context, manage TODOs, preserve handoff state, or govern memory lifecycle across sessions and tools.
3-tier markdown memory protocol (shared/agent/conversation) for cross-session knowledge accumulation. Automatically injects relevant memory into agent context at task start.
Manages AI agent memory stores on the GreenNode AgentBase platform — conversation history, semantic fact extraction, and long-term memory records with LangChain/LangGraph integration.