memoryaiLong-term memory for AI agents. Your AI remembers everything — preferences, decisions, context — across sessions, forever.
Install via ClawdBot CLI:
clawdbot install ch270035/memoryaiGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://memoryai.devAudited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
A development team uses MemoryAI to store project-specific preferences like coding standards, API conventions, and deployment pipelines. New team members or AI agents can instantly recall these details, reducing onboarding time and ensuring consistency across sessions without repetitive explanations.
A support team integrates MemoryAI to store resolved customer issues, common troubleshooting steps, and product preferences. AI agents can recall past interactions and solutions during live chats, providing personalized and efficient support without losing context between shifts or sessions.
Researchers use MemoryAI to store findings, hypotheses, and data sources from long-term projects. AI agents can recall prior insights and methodologies when analyzing new data, enabling seamless continuation of work across multiple sessions without re-explaining background context.
Content creators employ MemoryAI to store brand guidelines, tone preferences, and past campaign decisions. AI assistants can maintain consistency in writing styles and creative direction over weeks or months, adapting to evolving projects without starting from scratch each session.
Offer a free tier with basic memory storage and recall limits, while charging for premium features like advanced analytics, higher retention policies, and priority support. Revenue comes from monthly subscriptions tailored to individual users, teams, and enterprises based on usage tiers.
Provide custom deployments with enhanced security, dedicated endpoints, and integration support for large organizations. Revenue is generated through annual licenses, consulting fees for setup and training, and ongoing maintenance contracts tailored to specific industry needs.
Monetize based on API call volume, memory storage size, and advanced features like deep recall or auto-reflection. Revenue streams include pay-as-you-go pricing for developers and scaled plans for high-volume applications, with discounts for long-term commitments.
💬 Integration Tip
Start by setting up the basic store and recall commands in a test environment to understand memory prioritization, then gradually integrate session handoff for seamless context switching in production workflows.
Scored Jun 17, 2026
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