Multi-Agent Collaboration

memtomem supports knowledge sharing between agents through namespace-based isolation and sharing. As a runtime-agnostic memory layer, it enables Human→Agent, Agent→Agent, and Agent→Human knowledge flows.

Namespace Structure

agent/{agent-id}     # Agent-private — only that agent can access
shared               # Shared — accessible by all agents

Each agent works in its own private namespace but can export useful knowledge to the shared namespace.

3-Step Workflow

Step 1: Register an Agent

mem_agent_register(agent_id="analyzer", description="Code analysis agent")

Step 2: Search Knowledge

mem_agent_search(query="auth module structure", include_shared=true)

With include_shared=true, searches both the agent’s own namespace and the shared namespace.

Step 3: Share Knowledge

mem_agent_share(memory_id="...", target="shared")

Interaction Patterns

Human → Agent

When a developer works in Claude Code or Cursor, architecture decisions, coding patterns, and debugging history from previous sessions are automatically surfaced.

Agent → Agent

In LangGraph/CrewAI workflows, when an agent chain runs, the “code analysis agent” discovers codebase structure and the “test generation agent” references it. Intermediate outputs and decision history are automatically passed through the shared LTM store.

Agent → Human

Knowledge accumulated by agents can be searched and browsed through the Web UI dashboard. When onboarding new team members, they can review architecture decisions, bug resolution patterns, and coding conventions at a glance.

AI Tool Memory Ingestion

Automatically discover and index memory directories from each AI editor:

mm ingest claude-memory     # ~/.claude/projects
mm ingest gemini-memory     # ~/.gemini
mm ingest codex-memory      # ~/.codex/memories

Consolidates scattered agent memories into a single searchable knowledge base.

LangGraph Adapter

Use the MemtomemStore class for direct memory access from LangGraph/CrewAI:

from memtomem.integrations.langgraph import MemtomemStore

store = MemtomemStore()
# Search/store/manage sessions in LangGraph workflows