second-brain

You can compile scattered notes by ingesting raw inputs like chats, docs, and PDFs to generate canonical wiki pages with provenance tracking. This converts fragmented information into a durable knowledge base that compounds over time through incremental synthesis and contradiction surfacing.

Provenance tracking and contradiction detection in a knowledge base identify the origins of ingested information and surface conflicting details across sources. This ensures compiled wiki pages maintain evidence-backed integrity while highlighting open threads for further research synthesis.

Yes, you can build a storage-agnostic knowledge base without tools like Obsidian by using an AFS-aligned structure anchored by BRAIN.md. This approach organizes raw intake into compiled knowledge and operational artifacts independently of specific note-taking platforms.

Maintain session-to-session continuity by applying an incremental compound learning loop across six phases: brainstorm, plan, confidence, review, work, and compound. This workflow continuously synthesizes new learnings and updates your durable wiki across multiple sessions.

The best way to ingest multi-source research documents is using a structured workflow that compiles raw inputs like PDFs, images, and links into canonical pages with evidence. It supports multi-source ingestion workflows to transform diverse formats into a unified knowledge base.