mementoLocal persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....
Install via ClawdBot CLI:
clawdbot install braibaud/mementoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
process.env.ANTHROPICPotentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://github.com/braibaud/MementoUses known external API (expected, informational)
api.anthropic.comGenerated Mar 21, 2026
An AI assistant that helps users manage tasks, remember preferences, and track decisions across conversations. Memento captures user habits and priorities, enabling personalized reminders and proactive suggestions without cloud dependency.
A local AI agent for healthcare providers to document patient interactions, extract structured medical facts, and recall relevant history during consultations. Memento ensures sensitive health data stays private by storing everything locally and classifying information as private or secret.
An AI tool for law firms to capture case discussions, extract key legal facts and deadlines, and auto-recall precedents or client details. Memento's cross-agent knowledge sharing allows secure collaboration between agents while maintaining confidentiality for sensitive financial or personal data.
A local AI system for businesses to log customer interactions, extract common issues and resolutions, and provide agents with instant recall of past solutions. Memento's semantic search enhances accuracy, and its privacy-first design keeps customer data on-premises.
An AI tutor that remembers student progress, learning preferences, and past mistakes across sessions. Memento captures conversations to tailor lessons and recall relevant concepts, using local storage to protect student privacy and comply with data regulations.
Offer Memento as a free, open-source plugin under MIT license, with revenue from paid consulting, customization, and enterprise support services. Target businesses needing tailored integration or compliance assistance for local memory solutions.
Provide a cloud-hosted version with additional features like advanced analytics, multi-device sync, or premium embedding models, while keeping the core local storage free. Monetize through subscription tiers for teams or large-scale deployments.
Sell enterprise licenses for on-premises deployments in regulated industries like healthcare or finance, offering enhanced security audits, custom integrations, and dedicated maintenance. Revenue comes from one-time licenses or annual support fees.
💬 Integration Tip
Start with autoCapture enabled and autoExtract disabled to test local storage, then gradually enable extraction with a local Ollama model for full privacy before considering cloud LLMs.
Scored Jun 19, 2026
AI Analysis
The skill's external API usage is consistent with its stated purpose of LLM-based fact extraction and requires explicit user configuration of API keys. All data storage is local by design, and the privacy warning about cloud providers is transparently documented. The primary risk is credential access via environment variables, which is standard for API integration.
Audited Apr 17, 2026 · audit v1.0
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