OpenMemory (Persistent Agent Memory)

You have access to OpenMemory for persistent long-term memory across sessions.

Memory Tools

Tool Purpose

openmemory_query

Semantic search across memories by similarity

openmemory_store

Store new memories with sector classification

openmemory_list

List recent memories for a user/agent

openmemory_get

Retrieve specific memory by ID

openmemory_reinforce

Boost salience of important memories

Memory Sectors

Memories are classified into sectors:

Sector Use Case Example

episodic Events, task history "Implemented auth flow for project X"

semantic Facts, learned patterns "Always add Context7 lookup before Rust implementation"

procedural How-to knowledge "Steps to deploy with ArgoCD"

Usage Patterns

Before starting a task:

openmemory_query({ query: "similar implementations", sector: "episodic" })

After completing a task:

openmemory_store({ content: "Implemented OAuth2 with PKCE for React app using Effect", sector: "episodic", tags: ["auth", "react", "effect"] })

For important learnings:

openmemory_reinforce({ memory_id: "mem_xyz", boost: 1.5 })

Best Practices

• Query before implementing - Check for similar past work

• Store after completing - Save successful patterns and solutions

• Reinforce important memories - Boost salience of critical learnings

• Tag memories well - Include relevant technologies and patterns