maasv-memoryProvides structured long-term memory with semantic, keyword, and knowledge graph retrieval, entity extraction, temporal versioning, and experiential learning.
Install via ClawdBot CLI:
clawdbot install ascottbell/maasv-memoryGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://github.com/ascottbell/maasvAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
An AI agent uses maasv Memory to store and retrieve research notes, papers, and insights across long-term projects. It enables semantic search over a private knowledge base, helping researchers connect ideas and avoid redundant work without data leaving their machine.
A support agent leverages maasv Memory to maintain a private history of customer interactions, extracting entities like product names and issues. This allows for personalized, context-aware responses while ensuring sensitive customer data stays on-premises with no external cloud dependencies.
Legal professionals use maasv Memory to index and query case files, contracts, and regulations locally. The knowledge graph feature helps map relationships between entities like clients and legal precedents, enabling efficient retrieval without compromising confidentiality through cloud services.
Healthcare providers integrate maasv Memory to log patient histories, treatment outcomes, and medical literature in a self-hosted environment. It supports recall of past decisions and evidence-based recommendations, ensuring compliance with data privacy regulations like HIPAA by keeping all data on-site.
Content creators employ maasv Memory to organize ideas, drafts, and references across projects. The memory search helps retrieve relevant past work and inspirations, fostering creativity while maintaining full ownership of intellectual property with no external data sharing.
Offer paid consulting services to help organizations set up and customize maasv Memory for their specific use cases, such as integrating with existing systems or optimizing local LLM deployments. Revenue comes from hourly rates or project-based contracts.
Sell commercial licenses for advanced features or enterprise support within the open-source framework, targeting businesses that require guaranteed SLAs, security audits, or custom integrations. Revenue is generated through annual subscription fees per server or user.
Develop and sell training courses and certifications on using maasv Memory effectively, covering topics like local deployment, knowledge graph management, and privacy best practices. Revenue streams include course fees and certification renewals.
💬 Integration Tip
Ensure your local maasv server is running and properly configured with API keys or Ollama before activating the plugin to avoid connection issues.
Scored Apr 19, 2026
Structured reasoning through sequential thinking — break complex problems into steps, solve each independently, verify consistency, synthesize conclusions wi...
LLM-driven epistemic reasoning engine. Evaluates claims against evidence, outputs calibrated confidence and structured belief state (VERIFIED/CONTESTED/UNCER...
Loads and manages company context for all C-suite advisor skills. Reads ~/.claude/company-context.md, detects stale context (>90 days), enriches context duri...
Turn scattered local sources into a source-constrained evidence notebook for incident, release, and maintainer decisions.
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括:(1) 滑动窗口式短期记忆,(2) 自动摘要生成中期记忆,(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。
Store secrets, long-term memory, daily logs, and anything custom in your Convex backend instead of local files