--- title: "obsidian-llm-wiki-local vs ArkhamMirror" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kytmanov-obsidian-llm-wiki-local-vs-mantisfury-arkhammirror" tools: ["kytmanov-obsidian-llm-wiki-local", "mantisfury-arkhammirror"] --- # obsidian-llm-wiki-local vs ArkhamMirror *GraphCanon updated Sep 20, 2026* ## Verdict Pick obsidian-llm-wiki-local if local-first AI wiki for auto-linking Markdown notes with LLMs in Obsidian, designed to maintain user privacy; pick ArkhamMirror if arkhamMirror is a privacy-focused, self-hosted document intelligence platform with entity extraction and knowledge graph creation capabilities tailored for investigative journalists in air-gapped environments. [obsidian-llm-wiki-local](https://github.com/kytmanov/obsidian-llm-wiki-local) reports 827 GitHub stars, 127 forks, and 2 open issues, last pushed May 26, 2026. [ArkhamMirror](https://github.com/mantisfury/ArkhamMirror) has 490 stars, 49 forks, and 0 open issues, last pushed Jan 25, 2026. Figures are from public GitHub metadata via [obsidian-llm-wiki-local's repository](https://github.com/kytmanov/obsidian-llm-wiki-local) and [ArkhamMirror's repository](https://github.com/mantisfury/ArkhamMirror). | | [obsidian-llm-wiki-local](/tools/kytmanov-obsidian-llm-wiki-local.md) | [ArkhamMirror](/tools/mantisfury-arkhammirror.md) | | --- | --- | --- | | Tagline | Local-first AI wiki that integrates Markdown notes with LLMs for auto-linking concepts and personal knowledge management. | Local-first AI-powered document intelligence platform for investigative journalism | | Stars | 827 | 490 | | Forks | 127 | 49 | | Open issues | 2 | 0 | | Language | Python | Python | | Adopt for | Local-first AI wiki for auto-linking Markdown notes with LLMs in Obsidian, designed to maintain user privacy. | ArkhamMirror is a privacy-focused, self-hosted document intelligence platform with entity extraction and knowledge graph creation capabilities tailored for investigative journalists in air-gapped environments. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Developer Tools | Data & Retrieval, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [obsidian-llm-wiki-local](/tools/kytmanov-obsidian-llm-wiki-local.md) | [ArkhamMirror](/tools/mantisfury-arkhammirror.md) | | --- | --- | --- | | Days since push | 117d | 237d | | Open issues (now) | 2 | 0 | | Stars delta | +28 (30d) | +6 (30d) | | Full report | [trust report](/tools/kytmanov-obsidian-llm-wiki-local/trust.md) | [trust report](/tools/mantisfury-arkhammirror/trust.md) | ## Shared compatibility - **Python**: [obsidian-llm-wiki-local](/tools/kytmanov-obsidian-llm-wiki-local.md) - Python runtime; [ArkhamMirror](/tools/mantisfury-arkhammirror.md) - Python runtime ## Decision facts: obsidian-llm-wiki-local - **Adopt for:** Local-first AI wiki for auto-linking Markdown notes with LLMs in Obsidian, designed to maintain user privacy. ## Decision facts: ArkhamMirror - **Requirements:** Min 8 GB RAM; Requires Docker - **Adopt for:** ArkhamMirror is a privacy-focused, self-hosted document intelligence platform with entity extraction and knowledge graph creation capabilities tailored for investigative journalists in air-gapped environments. ## Choose when ### Choose obsidian-llm-wiki-local if… - Tags unique to obsidian-llm-wiki-local: git-based-wiki, karpathy, knowledge-base, llm-knowledge-base. - When you require a self-contained wiki solution that uses local Large Language Models (LLMs) and keeps all data private. - More GitHub stars (827 vs 490) - visibility, not fit. ### Choose ArkhamMirror if… - Requirements: Min 8 GB RAM; Requires Docker. - Tags unique to ArkhamMirror: air-gapped, data-visualization, digital-forensics, docker. - ArkhamMirror ships Docker support for self-hosted deployment. - When handling sensitive data that requires strict privacy controls and confidentiality ## When NOT to use obsidian-llm-wiki-local - If you do not have a preference for using local LLMs over cloud-based solutions that might offer more powerful models. - When you are willing to share your data with external services for potentially better integration features or enhanced AI capabilities. ## When NOT to use ArkhamMirror - When you require cloud-based services or real-time collaboration features that are not available in a self-hosted solution - For general-purpose document intelligence tasks that do not involve investigative journalism or detailed privacy requirements - If your project's success depends on the integration with specific third-party APIs or cloud storage systems - In scenarios where continuous online data synchronization and real-time updates to central servers are essential ## Common questions ### What is the difference between obsidian-llm-wiki-local and ArkhamMirror? obsidian-llm-wiki-local: Local-first AI wiki that integrates Markdown notes with LLMs for auto-linking concepts and personal knowledge management.. ArkhamMirror: Local-first AI-powered document intelligence platform for investigative journalism. See the comparison table for live GitHub stats and shared categories. ### When should I choose obsidian-llm-wiki-local over ArkhamMirror? Choose obsidian-llm-wiki-local over ArkhamMirror when Tags unique to obsidian-llm-wiki-local: git-based-wiki, karpathy, knowledge-base, llm-knowledge-base; When you require a self-contained wiki solution that uses local Large Language Models (LLMs) and keeps all data private; More GitHub stars (827 vs 490) - visibility, not fit. ### When should I choose ArkhamMirror over obsidian-llm-wiki-local? Choose ArkhamMirror over obsidian-llm-wiki-local when Requirements: Min 8 GB RAM; Requires Docker; Tags unique to ArkhamMirror: air-gapped, data-visualization, digital-forensics, docker; ArkhamMirror ships Docker support for self-hosted deployment; When handling sensitive data that requires strict privacy controls and confidentiality. ### When should I avoid obsidian-llm-wiki-local? If you do not have a preference for using local LLMs over cloud-based solutions that might offer more powerful models. When you are willing to share your data with external services for potentially better integration features or enhanced AI capabilities. ### When should I avoid ArkhamMirror? When you require cloud-based services or real-time collaboration features that are not available in a self-hosted solution For general-purpose document intelligence tasks that do not involve investigative journalism or detailed privacy requirements If your project's success depends on the integration with specific third-party APIs or cloud storage systems In scenarios where continuous online data synchronization and real-time updates to central servers are essential ### Is obsidian-llm-wiki-local or ArkhamMirror more popular on GitHub? obsidian-llm-wiki-local has more GitHub stars (827 vs 490). Stars measure visibility, not whether either tool fits your constraints. ### Are obsidian-llm-wiki-local and ArkhamMirror open source? Yes - both are open-source projects on GitHub (obsidian-llm-wiki-local: MIT, ArkhamMirror: MIT). ### Where can I find alternatives to obsidian-llm-wiki-local or ArkhamMirror? GraphCanon lists graph-backed alternatives at [obsidian-llm-wiki-local alternatives](/tools/kytmanov-obsidian-llm-wiki-local/alternatives) and [ArkhamMirror alternatives](/tools/mantisfury-arkhammirror/alternatives) ([obsidian-llm-wiki-local markdown twin](/tools/kytmanov-obsidian-llm-wiki-local/alternatives.md), [ArkhamMirror markdown twin](/tools/mantisfury-arkhammirror/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/kytmanov-obsidian-llm-wiki-local-vs-mantisfury-arkhammirror.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, obsidian-llm-wiki-local or ArkhamMirror? obsidian-llm-wiki-local: Slowing. ArkhamMirror: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for obsidian-llm-wiki-local and ArkhamMirror? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [obsidian-llm-wiki-local trust report](/tools/kytmanov-obsidian-llm-wiki-local/trust); [ArkhamMirror trust report](/tools/mantisfury-arkhammirror/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kytmanov-obsidian-llm-wiki-local`](/api/graphcanon/graph?tool=kytmanov-obsidian-llm-wiki-local) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_