memvaultProduction-ready long-term memory server for AI agents with Ebbinghaus decay and strength-weighted retrieval. Use when you need persistent memory across agen...
Install via ClawdBot CLI:
clawdbot install wjy9902/memvaultGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → http://127.0.0.1:8002/decay?user_id=YOUR_USER_IDPotentially destructive shell commands in tool definitions
rm -rf /Calls external URL not in known-safe list
http://127.0.0.1:8002/decay?user_id=YOUR_USER_IDAI Analysis
The skill's external API calls (127.0.0.1:8002) are to its own local service, consistent with its stated purpose as a memory server, and do not constitute unauthorized data exfiltration. The 'UNSAFE_SHELL' signal appears to be a false positive from a generic rule, as no destructive commands are present in the provided skill definition.
Generated Mar 22, 2026
An AI support agent uses MemVault to remember past interactions with customers, enabling personalized responses and continuity across sessions. It applies memory decay to prioritize recent issues while retaining key customer history, improving resolution times and satisfaction.
A healthcare AI assistant stores patient symptoms and treatment responses over time, using strength-weighted retrieval to recall relevant medical history. Daily decay ensures outdated information fades, helping clinicians make informed decisions based on up-to-date data.
An AI tutor leverages MemVault to track student learning progress and recall past mistakes across sessions. Memory decay mimics the forgetting curve, allowing the tutor to reinforce concepts before they are forgotten, enhancing personalized learning outcomes.
Research agents in a team environment use MemVault to share findings and insights tagged by source agent. Strength-weighted retrieval helps prioritize frequently accessed data, while decay manages information overload, streamlining collaborative projects.
A financial AI agent stores client investment preferences and market interactions, using MemVault for persistent memory across consultations. Decay ensures outdated advice fades, and retrieval focuses on strong, relevant memories to provide tailored recommendations.
Offer MemVault as a cloud-hosted API with tiered subscriptions based on memory storage and retrieval volume. Revenue comes from monthly fees, with premium tiers for advanced features like multi-agent tracking and custom decay rates.
Sell licenses for on-premises or private cloud deployments tailored to large organizations. Revenue is generated through one-time license fees and ongoing support contracts, targeting industries with strict data privacy needs.
Provide a free tier with basic memory features to attract developers and small projects, monetizing through paid upgrades for higher limits, priority support, and advanced analytics. Revenue streams include upgrade fees and consulting services.
💬 Integration Tip
Set up a daily cron job for memory decay to automate forgetting curve management, and use environment variables to configure the LLM for optimal performance in your deployment.
Scored Jun 17, 2026
Audited Apr 17, 2026 · audit v1.0
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