OpenClaw developer builds Kumiho cognitive memory plugin for persistent agent collaboration

A developer has built Kumiho, a cognitive memory system for OpenClaw that addresses the framework's lack of persistent memory across sessions. The system uses a knowledge graph to maintain context from previous conversations, decisions, and collaborative work.

What Kumiho does

Kumiho is an AI cognitive memory system backed by a knowledge graph. The core concept is graph-native memory where facts connect to other facts, decisions have provenance, and outputs have versioned identities for later retrieval.

OpenClaw integration

The developer created an OpenClaw plugin called @kumiho/openclaw-kumiho that:

• Hooks into every conversation to recall relevant context before the agent responds
• Captures structured summaries after conversations
• Runs a nightly Dream State cycle that enriches the graph while idle (deprecating stale facts, creating relationship edges, adding semantic tags)

Creative memory layer

Kumiho includes a creative memory system where:

• Every document, plan, or piece of code the agent produces gets a versioned kref
• Each output has a DERIVED_FROM edge back to the memory that inspired it
• When resuming a project weeks later, creative_recall brings the full history back

Developer motivation

The developer appreciated OpenClaw's multi-channel agents, plugin architecture, and seamless Telegram/Discord integration, but wanted memory that persisted beyond individual sessions. They specifically wanted the agent to remember the history of collaboration — ideas discussed, decisions made, and work in progress — rather than just factual recall.