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memoclaw

Store and recall AI agent memories with wallet-based identity and vector search.

3|Updated Feb 9, 2026
Search Tags:#recall#memory#namespace#semantic-search#vector-search#memo
One-click install
npx skills add https://github.com/anajuliabit/memoclaw-skill --skill memoclaw
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: memoclaw
Source: https://github.com/anajuliabit/memoclaw-skill/tree/main
Command: npx skills add https://github.com/anajuliabit/memoclaw-skill --skill memoclaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

MemoClaw provides a persistent memory layer for AI agents, enabling wallet-based identity, durable cross-session recall, and semantic search over memories.

Core Features & Use Cases

  • Semantic search across memories for natural-language recall
  • Namespace isolation and memory decay by type for project context
  • Easy CLI for store, recall, ingest, consolidate, and context assembly
  • Use cases include cross-session recall, session summaries, and project knowledge bases

Quick Start

Install the MemoClaw CLI, configure your wallet, and start storing and recalling memories using memoclaw store and memoclaw recall.

Frequently Asked Questions about memoclaw

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

FAQPage Schema
How do I add persistent cross-session memory to AI agents?▼

Persistent cross-session memory for AI agents is achieved by storing memories with wallet-based identity and using vector search for semantic recall. MemoClaw applies this to session context loading and project-scoped namespaces.

How do I store and recall memories using semantic search?▼

Semantic search recall is performed by installing the MemoClaw CLI, configuring your wallet, and executing `memoclaw store` and `memoclaw recall` commands to manage memories.

Does MemoClaw require a private key to manage AI agent memory namespaces?▼

Yes, managing AI agent memory namespaces requires wallet-based authentication via the MEMOCLAW_PRIVATE_KEY environment variable to store and recall memories securely.

What is the best way to isolate project context in AI agent memory?▼

The best way to isolate project context is using namespace isolation and decay-based memory types, which allows project-scoped memory namespaces to organize and retain relevant session context.

Can I consolidate and ingest session summaries into a project knowledge base?▼

Yes, you can ingest and consolidate session summaries into a project knowledge base using the MemoClaw CLI, enabling cross-session recall and context assembly for AI agents.

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