Your second brain for everything you read.
Personal knowledge management from URLs, articles, tweets
$ npx seclaw add knowledge-base --key YOUR_TOKENWhat this looks like in Telegram
You
Save this: https://example.com/building-production-rag
seclaw
Saved and indexed! Title: Building Production RAG Systems Tags: #ai #rag #architecture #engineering Key takeaways: • Chunking strategy matters more than embedding model • Hybrid search outperforms pure vector by 20% • Reranking adds 15-20% relevance improvement
— Knowledge Base
You
Find everything about RAG
seclaw
Found 4 items tagged #rag: 1. Building Production RAG Systems (today) 2. Anthropic's Contextual Retrieval (Jan 28) 3. LlamaIndex vs LangChain comparison (Jan 15) 4. Your notes: "RAG vs fine-tuning decision tree" (Jan 10)
— Knowledge Base
Weekly maintenance: dedup, verify files, stats report
Save URLs, articles, tweets via Telegram
Natural language search across saved content
Share URL/text --> Agent saves + tags + indexes --> Search later with natural language Weekly maintenance --> Dedup --> Verify files --> Stats report --> Telegram
Save anything
URLs, articles, tweets, and raw text
Auto-tagging
AI-powered categorization on save
Natural language search
Find saved content by asking questions
Weekly maintenance
Dedup, file verification, usage stats
Local storage
All content stays on your machine
OpenClaw proved the demand — 68K+ GitHub stars. But it ships with zero container isolation: API keys exposed to every MCP container, your home directory mounted to root-privileged processes, port 5678 open with no auth.
Every seclaw template runs in Docker with hard guardrails — no root, no host access, no exposed ports. Security enforced at runtime, not in the system prompt.
Purchase at seclawai.com/templates/knowledge-base
Run npx seclaw add knowledge-base --key YOUR_TOKEN
Send URLs or text to save via Telegram
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npx seclaw add knowledge-base --key YOUR_TOKEN