SolCore Memory System

Provides persistent, scored memory storage, pattern detection, context retrieval, and reflection analysis to enhance AI statefulness and learning in OpenClaw.

Persistent, reflective memory for OpenClaw that transforms reactive AI into stateful, learning AI.

What It Does

• Stores interactions with evaluation scoring (5 dimensions)
• Detects patterns in behavior (hesitation, chasing, discipline)
• Retrieves context relevant to current queries
• Runs reflection analysis on memory timelines
• Links memories across domains via edges

Installation

bash

# Install from ClawHub
openclaw skill install solcore-memory

# Or clone manually
git clone https://github.com/MichaelandSol/Solcore-persistent-memory-for-AI.git
openclaw skill link ./Solcore-persistent-memory-for-AI

Configuration

Requires PostgreSQL database:

yaml

# ~/.openclaw/config/openclaw.yaml
plugins:
  solcore-memory:
    database:
      host: localhost
      port: 5432
      name: solcore
      user: solcore
      password: your_password
    webhook:
      port: 5003

Usage

The plugin automatically:

1. Stores every interaction with metadata
2. Evaluates on 5 dimensions (result, structure, timing, strength, alignment)
3. Extracts entities (stocks, people, concepts)
4. Retrieves relevant context for queries
5. Detects behavioral patterns over time

Tools Provided

• solcore_store_memory - Store interaction with scoring
• solcore_get_context - Retrieve relevant memories
• solcore_reflect - Run reflection analysis

GitHub

https://github.com/MichaelandSol/Solcore-persistent-memory-for-AI