Comparison
mcp-local-rag vs agentic-awesome-skills
Verdict
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; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · mcp-local-rag alternatives · agentic-awesome-skills alternatives
GraphCanon updated Sep 20, 2026
11views this month
vs
Trust & integrity
| Signal | mcp-local-rag | agentic-awesome-skills |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No published findings from this source as of 2026-08-09 As of Aug 9, 2026 · osv@v1 | No published findings from this source as of 2026-07-11 As of Jul 11, 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
- mcp-local-rag
- Local-first RAG server for developers with semantic and keyword search capabilities.
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- mcp-local-rag
- 400
- agentic-awesome-skills
- 47k
Forks
- mcp-local-rag
- 74
- agentic-awesome-skills
- 6.8k
Open issues
- mcp-local-rag
- 2
- agentic-awesome-skills
- 1
Language
- mcp-local-rag
- TypeScript
- agentic-awesome-skills
- Python
Adopt for
- 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.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- mcp-local-rag
- -
- agentic-awesome-skills
- -
Runtime
- mcp-local-rag
- -
- agentic-awesome-skills
- -
License
- mcp-local-rag
- MIT
- agentic-awesome-skills
- MIT
Last pushed
- mcp-local-rag
- Sep 20, 2026
- agentic-awesome-skills
- Sep 19, 2026
Categories
- mcp-local-rag
- Data & Retrieval, Developer Tools
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- mcp-local-rag
- 2
- agentic-awesome-skills
- 1
Stars delta
- mcp-local-rag
- +48 (30d)
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- mcp-local-rag
- -2 (30d)
- agentic-awesome-skills
- -11 (30d)
OSV dependency advisories
- mcp-local-rag
- No published findings from this source as of 2026-08-09
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
Full report
- mcp-local-rag
- Trust report
- agentic-awesome-skills
- Trust report
Shared compatibility
- Cursor · mcp-local-rag: Works with Cursor · agentic-awesome-skills: Works with Cursor
- Node.js · mcp-local-rag: Node.js runtime · agentic-awesome-skills: Node.js runtime
Choose mcp-local-rag if…
- mcp-local-rag is primarily TypeScript; agentic-awesome-skills is Python.
- Tags unique to mcp-local-rag: hybrid-search, local-first, privacy-first, semantic-search.
- Also covers Data & Retrieval.
- 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.
Choose agentic-awesome-skills if…
- agentic-awesome-skills is primarily Python; mcp-local-rag is TypeScript.
- Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills..
- Requirements: Min 2 GB RAM.
- Tags unique to agentic-awesome-skills: ai-agents, developer-tools.
- Also covers AI Agents.
- - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
When NOT to use agentic-awesome-skills
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services.
- - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (shinpr/mcp-local-rag) · observed Sep 20, 2026
- GitHub forks (shinpr/mcp-local-rag) · observed Sep 20, 2026
- Last push (shinpr/mcp-local-rag) · observed Sep 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Sep 20, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Sep 19, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mcp-local-rag 400 · agentic-awesome-skills 47k (synced Sep 20, 2026).
Common questions
- What is the difference between mcp-local-rag and agentic-awesome-skills?
- mcp-local-rag: Local-first RAG server for developers with semantic and keyword search capabilities.. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose mcp-local-rag over agentic-awesome-skills?
- Choose mcp-local-rag over agentic-awesome-skills when mcp-local-rag is primarily TypeScript; agentic-awesome-skills is Python; Tags unique to mcp-local-rag: hybrid-search, local-first, privacy-first, semantic-search; Also covers Data & Retrieval; 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 choose agentic-awesome-skills over mcp-local-rag?
- Choose agentic-awesome-skills over mcp-local-rag when agentic-awesome-skills is primarily Python; mcp-local-rag is TypeScript; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: ai-agents, developer-tools; Also covers AI Agents; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks.
- 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.
- When should I avoid agentic-awesome-skills?
- - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library.
- Is mcp-local-rag or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (46,613 vs 400). Stars measure visibility, not whether either tool fits your constraints.
- Are mcp-local-rag and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (mcp-local-rag: MIT, agentic-awesome-skills: MIT).
- Where can I find alternatives to mcp-local-rag or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at mcp-local-rag alternatives and agentic-awesome-skills alternatives (mcp-local-rag markdown twin, agentic-awesome-skills 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, mcp-local-rag or agentic-awesome-skills?
- mcp-local-rag: Very active. agentic-awesome-skills: 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 mcp-local-rag and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mcp-local-rag trust report; agentic-awesome-skills trust report.