meta-knowledge-baseAI-powered knowledge base builder that automatically captures, organizes, and retrieves information. Learns from conversations, documents, and interactions t...
Install via ClawdBot CLI:
clawdbot install jason-aka-chen/meta-knowledge-baseGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://example.com/articleAudited Apr 17, 2026 · audit v1.0
Generated Jul 27, 2026
An individual uses the knowledge base to automatically capture and organize personal notes, conversations, and documents. It enables semantic search to quickly retrieve past information, acting as a second brain.
A team deploys the knowledge base as a shared wiki that auto-tags and links related documents, meeting notes, and code snippets. New members can query the system to get context and historical decisions.
A support team integrates the RAG pipeline to answer customer queries using the knowledge base of product manuals and past tickets. The system cites sources and provides confidence scores, reducing response time.
Researchers use the system to ingest papers, extract entities and relationships, and run semantic searches. It generates summaries and identifies gaps in the literature.
Developers add code comments, documentation, and commit messages to the knowledge base. They can query for implementation details, API usage, and related code snippets via semantic search.
Offer the knowledge base as a cloud service with tiered pricing based on storage, number of users, and Q&A queries. Includes automatic updates, backups, and support.
License the software for on-premise deployment with custom integrations, dedicated support, and SLA guarantees. Suitable for companies with compliance requirements.
Provide the knowledge base as a backend API for third-party applications (e.g., chatbots, CRM systems). Charge per API call or per query volume.
💬 Integration Tip
To integrate with OpenClaw, use the hookimpl after_message to auto-capture conversations, or call kb.search() in your skill logic to fetch context for responses.
Scored Jul 27, 2026
Manage a personal knowledge base by adding, searching, organizing, and reviewing articles, links, and notes with tags and natural language queries.
Generate a daily work report by automatically discovering all git repositories the user worked on, collecting commit logs across all branches, and summarizin...
日记引导助手。每日写作引导、感恩日记、反思日记、晨间日记、晚间总结、周总结模板。Journal prompts for daily writing, gratitude, reflection, morning pages, evening review, weekly summary. 日记、写作、反思、感恩。
Use when maintaining RDR2 (Red Dead Redemption 2) playthrough notes — logging an acquisition ("acquired X", "got N gold bars", "finished X"), answering in-game location/crafting questions, or reviewing the notes for duplicate or stale info. Triggers on RDR2, Red Dead Redemption, playthrough, legendary animal, talisman, trinket, valerian root, gold bar, horse, weapon, berry.
Use when a sales rep already has a customer who has expressed some need (from outreach follow-up, account-landing research, customer-initiated contact, or meeting notes) and needs to structurally validate whether that need is real, urgent, whose pain it actually is, and whether it matches the team's capability — before pushing to ROI proofing or buying-intent assessment. Triggers: '验证一下这个需求是不是真的', '需求真不真', '客户说痛但我不确定', '这个客户值不值得跟', '客户说会考虑但是真的吗', '谁拍板', '现有方案是什么', '切换成本', 'need validation', 'pain point validation', 'is this a real need', 'verify customer need'. Do NOT use for: scoring leads at line-item level, building target-customer profiles, calculating ROI, overall buying-intent scoring, opportunity-stage assessment, or writing outreach/cold messages.
Microsoft OneNote integration. Manage Notebooks. Use when the user wants to interact with Microsoft OneNote data.