openclaw-claude-mem

Configure persistent memory and observation feeds for OpenClaw gateways.

12|1|Updated Mar 15, 2026

Search Tags:#context tracking #ai learning #openclaw #memory retention #observation feed

Ready to run

npx skills add https://github.com/jorgeasaurus/agent-skills --skill openclaw-claude-mem

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: openclaw-claude-mem
Source: https://github.com/jorgeasaurus/agent-skills/tree/main/openclaw
Command: npx skills add https://github.com/jorgeasaurus/agent-skills --skill openclaw-claude-mem

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires openclaw, claude-code, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides persistent memory capabilities to OpenClaw gateways, enabling continuous learning, context retention, and observation feed streaming to messaging channels.

Core Features & Use Cases

Persistent Memory: Stores observations and summaries across agent sessions, ensuring continuous learning.
Observation Feed: Streams observations in real-time to configured messaging channels.
Integration: Seamless integration with OpenClaw gateway and Claude Code sessions.
Use Case: Imagine you are developing an AI agent that benefits from retaining context and learning from its interactions. This Skill enables the agent to maintain a persistent memory file, updating it as it works, and provides real-time insights to developers through messaging channels.

Quick Start

Install the Claude-Mem plugin and configure the observation feed to stream to your preferred channel.

Frequently Asked Questions about openclaw-claude-mem

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enable persistent memory for AI agents to retain context across sessions?▼

Persistent memory for AI agents is enabled by storing observations and summaries across agent sessions. This ensures continuous learning by maintaining a memory file that updates as the agent works, retaining context effectively.

Can I stream real-time AI observations to messaging channels?▼

Yes, you can stream real-time AI observations to messaging channels. An observation feed streams observations in real-time to configured channels, providing immediate insights to developers during agent interactions.

Do I need an OpenClaw gateway to use context tracking for Claude Code?▼

Yes, an OpenClaw gateway and Claude Code integration are required. Context tracking depends on the OpenClaw gateway to function, supporting automated installation and configuration for continuous learning.

What is the best way to set up continuous learning for AI agents?▼

The best way to set up continuous learning for AI agents is using a persistent memory system that stores observations and summaries across sessions. This approach integrates with OpenClaw and Claude Code for automated context retention.

Why does my AI agent lose context between sessions?▼

AI agents lose context between sessions when persistent memory is not configured. Without storing observations and summaries in a persistent memory file, the agent cannot retain learning from previous interactions across new sessions.