memori-extensionMemory augmentation and LLM call interception using the Memori Python library with optional Zhipu API integration.
Install via ClawdBot CLI:
clawdbot install ian-at/memori-extensionGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://www.apache.org/licenses/LICENSE-2.0Audited Apr 18, 2026 · audit v1.0
Generated Mar 21, 2026
Enhances customer support by retrieving relevant technical documentation from a local database to answer user queries about software or hardware issues. When configured with Zhipu AI, it can provide more nuanced explanations by analyzing conversation context, improving resolution rates without manual intervention.
Supports personalized learning by storing and recalling educational content, such as lesson summaries or problem-solving steps, from a local database. Optional Zhipu AI integration allows for adaptive explanations based on student interactions, making it suitable for online tutoring platforms.
Helps organizations manage internal knowledge bases by enabling employees to query a local database for company policies, project details, or technical guidelines. The skill can augment queries with relevant context, reducing time spent searching through documents and improving information retrieval.
Assists healthcare professionals by retrieving patient history or medical protocols from a secure local database to support clinical decisions. With Zhipu AI, it can analyze conversation patterns to suggest relevant information, enhancing accuracy in fast-paced environments like telemedicine.
Aids legal professionals in quickly accessing case law, statutes, or legal precedents stored in a local database. The skill can augment queries with contextual information, and if integrated with Zhipu AI, it provides deeper analysis of legal texts to streamline research processes.
Offer the skill as a cloud-based service with tiered pricing based on usage, such as database size or API call volume. Revenue is generated through monthly subscriptions, with premium tiers including advanced features like Zhipu AI integration for enhanced analytics.
Sell licenses for organizations to deploy the skill on their own servers, ensuring data privacy with local-only operation. Revenue comes from one-time license fees or annual maintenance contracts, appealing to industries with strict data security requirements like finance or healthcare.
Provide a free version with basic local memory functions to attract users, then monetize through paid upgrades that include Zhipu AI integration, larger database support, or priority support. Revenue is generated from upsells to premium features and enterprise support packages.
💬 Integration Tip
Start by testing the skill locally without Zhipu AI to ensure database operations work smoothly, then gradually integrate optional API features after verifying data flow and consent.
Scored Jun 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