wagl

Manage a local-first libSQL memory store with JSON command outputs.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/BigInformatics/wagl --skill wagl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: wagl
Source: https://github.com/BigInformatics/wagl/tree/main/docs/src/content/docs/reference
Command: npx skills add https://github.com/BigInformatics/wagl --skill wagl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust, local-first memory store for AI agents, enabling them to persistently store, retrieve, and query information, ensuring consistent and context-aware behavior.

Core Features & Use Cases

  • Local-First Memory: Backed by libSQL, ensuring data is always available locally.
  • JSON Output: All commands emit JSON, making it ideal for programmatic integration with agents.
  • Knowledge Curation: Supports creating shareable subsets of memory and managing "expertise areas" for specialized knowledge.
  • Use Case: An agent needs to remember user preferences, past interactions, and domain-specific knowledge. wagl allows it to store this information efficiently and retrieve it contextually for future tasks.

Quick Start

Initialize your wagl memory database by running the command wagl init.

Frequently Asked Questions about wagl

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

FAQPage Schema
How do I add persistent memory to my AI agent for local-first knowledge management?

Persistent local-first memory for AI agents can be managed through a libSQL-backed store that emits all command outputs as JSON, enabling agents to store, retrieve, and query information contextually.

Can I use SQL to query an AI memory store and get JSON output?

Yes, you can use a libSQL-backed memory store that emits all command outputs as JSON, allowing programmatic integration and structured knowledge querying for AI agents.

What's the best way to organize domain-specific knowledge for an AI agent?

Organize domain-specific knowledge by managing expertise areas and curating shareable subsets of memory, enabling agents to recall and utilize specialized information effectively.

Does wagl support semantic search for agent memory retrieval?

Yes, semantic search is supported through optional vector embeddings, allowing the local-first memory store to retrieve contextually relevant information for AI agents.

How do I initialize a local-first memory database for my AI agent?

Initialize your local-first memory database by running the `wagl init` command, which sets up the libSQL-backed store for persistent knowledge management.