Overview
Across eight chapters, claude-obsidian is presented as a local-first, user-owned knowledge system that preserves source bytes, separates sources, claims, pages, and runtime state, and applies reviewed, recoverable multi-file changes. Its read-only retrieval and maintenance tools improve the route to evidence without turning matches, folders, model scores, or configured extensions into proof. The series shows how capture, grounded synthesis, provenance, query, and explicit egress can compound into more inspectable knowledge while leaving uncertainty, platform limits, and user review visible.
Learning outcomes
- claude-obsidian compounds knowledge by preserving source identity and adding reviewed connections, not by generating a page for every input.
- Ownership, provenance, and recoverability keep canonical changes inspectable when evidence or filesystem state changes.
- Retrieval narrows the path to relevant pages; lexical matches, reranker scores, and polished prose are not proof.
- The repository documents implemented contracts and limits, but does not independently prove better decisions or universally accurate retrieval.
Keywords
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PlansFAQ
What problem does claude-obsidian solve?
claude-obsidian addresses how to build a user-owned AI-assisted knowledge system that preserves sources, assesses claims, and recovers from reviewed changes. It does not turn generated prose into guaranteed truth.
How does claude-obsidian keep AI-generated knowledge grounded?
It keeps knowledge grounded by preserving source bytes, recording provenance, separating claims from pages, and retaining provisional, contested, or unsupported status when evidence requires it.
Is claude-obsidian fully offline?
No. Its portable core is local-first and makes no network requests by default, but hosts, web research, external runners, remote models, and provider-backed retrieval can send selected data elsewhere through explicit workflows or consent.
Does claude-obsidian guarantee factual accuracy or safe automation?
No. Its contracts make ownership, evidence, egress, and recovery visible, but the repository does not prove universal factual accuracy, improved decisions, or harmlessness against already-authorized processes.