chat-history-localSearch past WhatsApp/chat conversations stored in the audit log PostgreSQL database. Use when the user asks about past conversations, what was discussed, wha...
Install via ClawdBot CLI:
clawdbot install netanel-abergel/chat-history-localGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 5, 2026
A customer support AI assistant that searches past conversations to remember user history, preferences, and previous issues, enabling personalized and informed responses without asking repetitive questions.
An agent that retrieves and summarizes group chat discussions from a specific date range or topic, helping team members catch up on missed conversations or find decisions made in past meetings.
A compliance officer AI that searches chat histories to verify that conversations adhere to regulatory standards, retrieve specific messages for audits, or detect policy violations across group and direct chats.
A personal AI assistant that helps users quickly find what someone said in a previous chat and compose a reply with quotation, enabling efficient follow-ups without manually scrolling through message history.
An analytics agent that searches chat histories to extract sentiment trends over time, identify frequent topics, and measure engagement metrics per chat, useful for marketing or community management.
Offer tiered subscriptions (e.g., basic, pro, enterprise) based on chat history storage limits, query frequency, and advanced analytics features like full-text search and sentiment analysis.
Expose the chat history search as a REST API with metered billing per query or per result, appealing to developers building custom integrations or chatbots needing historical context.
License the chat history search module to existing messaging platforms or CRM systems as an add-on feature, charging per user or per deployment.
💬 Integration Tip
Use the provided psql command with PostgreSQL 18 binary and LC_ALL=C. Always add LIMIT to queries for performance, and utilize the full-text search index for keyword searches.
Scored Apr 19, 2026
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系统化知识内化与能力自评引擎。当需要深入学习新领域、建立专家级知识库、并明确知道自己的掌握程度时使用。核心功能包括系统性知识内化引擎和基于知识图谱的能力评级器。触发词:深入学习并评估掌握水平、建立专家级知识库、系统研究并告诉我能做什么。