typeclaw-memory

Consolidate observations into persistent memory streams and retrieve past experiences.

53|12|Updated Apr 16, 2026
One-click install
npx skills add https://github.com/typeclaw/typeclaw --skill typeclaw-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: typeclaw-memory
Source: https://github.com/typeclaw/typeclaw/tree/main/src/skills/typeclaw-memory
Command: npx skills add https://github.com/typeclaw/typeclaw --skill typeclaw-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

It enables the agent to remember, organize, and retrieve its ongoing experiences, observations, and procedural knowledge over time.

Core Features & Use Cases

  • Memory Consolidation: Records daily observations into persistent streams and compiles them into a consolidated memory document.
  • Scheduled Reflection: Automates periodic review and merging of memory streams to build long-term knowledge.
  • Use Case: When asked what it remembers, the agent can provide summarized topics from its long-term memory, supporting honest and transparent responses.

Quick Start

Ask the agent to tell you what it remembers about your recent interactions to see its memory in action.

Frequently Asked Questions about typeclaw-memory

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

FAQPage Schema
How do I build long-term memory for an AI agent from daily observations?

To build long-term memory for an AI agent, this skill consolidates daily observations into persistent streams and compiles them into a consolidated memory document. Scheduled reflections then automate periodic reviews to merge streams into long-term knowledge.

Can I automate periodic reflections to consolidate agent memory over time?

Yes, you can automate scheduled reflections to consolidate agent memory over time. This skill orchestrates periodic reviews and merges ongoing observation streams, transforming daily logs into persistent long-term knowledge.

What is the best way to retrieve past experiences and learned skills for an agent?

The best way to retrieve past experiences and learned skills is through honest memory queries. This skill maintains persistent knowledge over time, allowing the agent to provide summarized topics from its long-term memory when asked what it remembers.

Do I need a memory plugin dependency to enable agent memory consolidation?

Yes, you need a memory plugin dependency to enable agent memory consolidation. This skill requires the memory plugin specifically for handling log storage and compiling ongoing observations into a consolidated memory document.

How does memory consolidation work for maintaining persistent agent knowledge?

Memory consolidation works by recording the agent's ongoing observations into persistent streams and compiling them into a unified document. This process maintains persistent knowledge over time and supports transparent responses to memory queries.