memora-knowledge-baseMemora — Personal AI Knowledge Base with interactive knowledge graph visualization. A self-hosted system for managing, retrieving, and querying your personal...
Install via ClawdBot CLI:
clawdbot install zzlzzlzzl15/memora-knowledge-baseGrade 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/zzlzzlzzl15/MemoraAudited Apr 17, 2026 · audit v1.0
Generated May 22, 2026
New hires can ask questions about company policies, procedures, and role-specific documentation. The RAG system retrieves relevant onboarding documents and provides accurate, cited answers.
Lawyers upload case files, contracts, and legal briefs. They can query the system for precedents, clauses, or specific rulings, getting instant answers with source citations.
Researchers upload papers, theses, and articles. The AI helps find relevant studies, summarize findings, and answer specific research questions based on the stored literature.
Support agents upload product manuals, troubleshooting guides, and FAQ documents. They can quickly search for solutions and generate accurate responses to customer queries.
Offer a subscription plan where enterprises deploy Memora on their own infrastructure. Revenue comes from monthly or annual licensing fees based on document storage and query volume.
Provide a fully managed service including setup, maintenance, and customization of the knowledge base. Consulting services for document strategy and retrieval optimization generate additional revenue.
Keep the core open source to drive adoption, then sell premium support, advanced features (e.g., enhanced reranking, security audits), and enterprise integrations.
💬 Integration Tip
Ensure environment variable KB_API_BASE is set correctly and the backend is running. For advanced usage, configure embedding and LLM endpoints in the backend.
Scored Oct 2, 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.