Home/Compare/obsidian-llm-wiki-local vs mcp-local-rag

Comparison

obsidian-llm-wiki-local vs mcp-local-rag

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 mcp-local-rag if mcp-local-rag is designed for developers who prioritize privacy and ease of setup when performing semantic and keyword searches on local codebases and technical documents through MCP or CLI integration.

Markdown twin · obsidian-llm-wiki-local alternatives · mcp-local-rag alternatives

GraphCanon updated Aug 23, 2026

9views this month

obsidian-llm-wiki-local logo

obsidian-llm-wiki-local

kytmanov/obsidian-llm-wiki-local

799pushed May 26, 2026
vs
mcp-local-rag logo

mcp-local-rag

shinpr/mcp-local-rag

370pushed Aug 23, 2026

Trust & integrity

Signalobsidian-llm-wiki-localmcp-local-rag
Maintenance
Steady (78d since push)
As of Aug 12, 2026 · github_public_v1
Very active (0d since push)
As of Aug 23, 2026 · github_public_v1
Provenance
Not a fork · Personal account
As of Aug 12, 2026 · github_public_v1
Not a fork · Personal account
As of Aug 23, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Jul 15, 2026 · osv@v1
No published findings from this source as of 2026-08-09
As of Aug 9, 2026 · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

obsidian-llm-wiki-local
Local-first AI wiki that integrates Markdown notes with LLMs for auto-linking concepts and personal knowledge management.
mcp-local-rag
Local-first RAG server for developers with semantic and keyword search capabilities.

Stars

obsidian-llm-wiki-local
799
mcp-local-rag
370

Forks

obsidian-llm-wiki-local
125
mcp-local-rag
68

Open issues

obsidian-llm-wiki-local
2
mcp-local-rag
2

Language

obsidian-llm-wiki-local
Python
mcp-local-rag
TypeScript

Adopt for

obsidian-llm-wiki-local
Local-first AI wiki for auto-linking Markdown notes with LLMs in Obsidian, designed to maintain user privacy.
mcp-local-rag
mcp-local-rag is designed for developers who prioritize privacy and ease of setup when performing semantic and keyword searches on local codebases and technical documents through MCP or CLI integration.

Persona

obsidian-llm-wiki-local
-
mcp-local-rag
-

Runtime

obsidian-llm-wiki-local
-
mcp-local-rag
-

License

obsidian-llm-wiki-local
MIT
mcp-local-rag
MIT

Last pushed

obsidian-llm-wiki-local
May 26, 2026
mcp-local-rag
Aug 23, 2026

Categories

obsidian-llm-wiki-local
Data & Retrieval, Developer Tools
mcp-local-rag
Data & Retrieval, Developer Tools

Trust and health

Maintenance

obsidian-llm-wiki-local
Steady (60%)
mcp-local-rag
Very active (96%)

Days since push

obsidian-llm-wiki-local
78d
mcp-local-rag
0d

Stars delta

obsidian-llm-wiki-local
Unknown
mcp-local-rag
+18 (30d)

Open issues delta

obsidian-llm-wiki-local
Unknown
mcp-local-rag
-2 (30d)

OSV dependency advisories

obsidian-llm-wiki-local
No lockfile (source not queried)
mcp-local-rag
No published findings from this source as of 2026-08-09

Full report

obsidian-llm-wiki-local
Trust report
mcp-local-rag
Trust report

Choose obsidian-llm-wiki-local if…

  • obsidian-llm-wiki-local is primarily Python; mcp-local-rag is TypeScript.
  • 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.

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.

Choose mcp-local-rag if…

  • mcp-local-rag is primarily TypeScript; obsidian-llm-wiki-local is Python.
  • Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first.
  • mcp-local-rag ships an MCP server manifest.
  • When you need to perform both semantic and keyword-based search operations within a local, privacy-focused environment tailored specifically for handling codebases and technical documentation.

When NOT to use mcp-local-rag

  • When you do not require a privacy-first approach and are willing to rely on cloud-based solutions that might offer more extensive feature sets beyond just keyword and semantic searches.
  • If your use case involves scaling search capabilities across multiple remote databases or servers, as mcp-local-rag is best suited for local data only.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: obsidian-llm-wiki-local 799 · mcp-local-rag 370 (synced Aug 12, 2026).

Common questions

What is the difference between obsidian-llm-wiki-local and mcp-local-rag?
obsidian-llm-wiki-local: Local-first AI wiki that integrates Markdown notes with LLMs for auto-linking concepts and personal knowledge management.. mcp-local-rag: Local-first RAG server for developers with semantic and keyword search capabilities.. See the comparison table for live GitHub stats and shared categories.
When should I choose obsidian-llm-wiki-local over mcp-local-rag?
Choose obsidian-llm-wiki-local over mcp-local-rag when obsidian-llm-wiki-local is primarily Python; mcp-local-rag is TypeScript; 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.
When should I choose mcp-local-rag over obsidian-llm-wiki-local?
Choose mcp-local-rag over obsidian-llm-wiki-local when mcp-local-rag is primarily TypeScript; obsidian-llm-wiki-local is Python; Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first; mcp-local-rag ships an MCP server manifest; When you need to perform both semantic and keyword-based search operations within a local, privacy-focused environment tailored specifically for handling codebases and technical documentation.
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 mcp-local-rag?
When you do not require a privacy-first approach and are willing to rely on cloud-based solutions that might offer more extensive feature sets beyond just keyword and semantic searches. If your use case involves scaling search capabilities across multiple remote databases or servers, as mcp-local-rag is best suited for local data only.
Is obsidian-llm-wiki-local or mcp-local-rag more popular on GitHub?
obsidian-llm-wiki-local has more GitHub stars (799 vs 370). Stars measure visibility, not whether either tool fits your constraints.
Are obsidian-llm-wiki-local and mcp-local-rag open source?
Yes - both are open-source projects on GitHub (obsidian-llm-wiki-local: MIT, mcp-local-rag: MIT).
Where can I find alternatives to obsidian-llm-wiki-local or mcp-local-rag?
GraphCanon lists graph-backed alternatives at obsidian-llm-wiki-local alternatives and mcp-local-rag alternatives (obsidian-llm-wiki-local markdown twin, mcp-local-rag markdown twin), 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 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 mcp-local-rag?
obsidian-llm-wiki-local: Steady. mcp-local-rag: Very active. 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 mcp-local-rag?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: obsidian-llm-wiki-local trust report; mcp-local-rag trust report.

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