Comparison
aquila vs mcp-local-rag
Verdict
Pick aquila if aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches; 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 · aquila alternatives · mcp-local-rag alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | aquila | mcp-local-rag |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Very active (0d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-08-09 As of 2w · 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
- aquila
- Efficient Neural Search Engine
- mcp-local-rag
- Local-first RAG server for developers with semantic and keyword search capabilities.
Stars
- aquila
- 379
- mcp-local-rag
- 370
Forks
- aquila
- 26
- mcp-local-rag
- 68
Open issues
- aquila
- 13
- mcp-local-rag
- 2
Language
- aquila
- HTML
- mcp-local-rag
- TypeScript
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- 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
- aquila
- -
- mcp-local-rag
- -
Runtime
- aquila
- -
- mcp-local-rag
- -
License
- aquila
- -
- mcp-local-rag
- MIT
Last pushed
- aquila
- May 6, 2024
- mcp-local-rag
- Aug 23, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- mcp-local-rag
- Data & Retrieval, Developer Tools
Trust and health
Maintenance
- aquila
- Dormant (18%)
- mcp-local-rag
- Very active (96%)
Days since push
- aquila
- 817d
- mcp-local-rag
- 0d
Open issues (now)
- aquila
- 13
- mcp-local-rag
- 2
Stars delta
- aquila
- Unknown
- mcp-local-rag
- +18 (30d)
Open issues delta
- aquila
- Unknown
- mcp-local-rag
- -2 (30d)
Owner type
- aquila
- Organization
- mcp-local-rag
- User
OSV dependency advisories
- aquila
- No lockfile (source not queried)
- mcp-local-rag
- No published findings from this source as of 2026-08-09
Full report
- aquila
- Trust report
- mcp-local-rag
- Trust report
Choose aquila if…
- aquila is primarily HTML; mcp-local-rag is TypeScript.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- Also covers Vector Databases.
- When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary
When NOT to use aquila
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration
- In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
Choose mcp-local-rag if…
- mcp-local-rag is primarily TypeScript; aquila is HTML.
- Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first.
- Also covers Developer Tools.
- 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 (Aquila-Network/aquila) · observed Aug 2, 2026
- GitHub forks (Aquila-Network/aquila) · observed Aug 2, 2026
- Last push (Aquila-Network/aquila) · observed May 6, 2024
- License file (unknown) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (shinpr/mcp-local-rag) · observed Aug 23, 2026
- GitHub forks (shinpr/mcp-local-rag) · observed Aug 23, 2026
- Last push (shinpr/mcp-local-rag) · observed Aug 23, 2026
- License file (MIT) · observed Aug 23, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Aug 9, 2026
GitHub stars on cards: aquila 379 · mcp-local-rag 370 (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and mcp-local-rag?
- aquila: Efficient Neural Search Engine. 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 aquila over mcp-local-rag?
- Choose aquila over mcp-local-rag when aquila is primarily HTML; mcp-local-rag is TypeScript; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Vector Databases; When deploying a solution that requires the processing of feature vectors in image or video search contexts, where efficiency in approximate nearest neighbor search is necessary.
- When should I choose mcp-local-rag over aquila?
- Choose mcp-local-rag over aquila when mcp-local-rag is primarily TypeScript; aquila is HTML; Tags unique to mcp-local-rag: agent-skills, hybrid-search, local-first, privacy-first; Also covers Developer Tools; 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 aquila?
- If the development team lacks experience with Docker, as Aquila's setup heavily relies on Docker images to run locally or in a big data configuration In scenarios where strict control over metadata and vector indexing is required beyond what JSON and latent vectors can provide
- 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 aquila or mcp-local-rag more popular on GitHub?
- aquila has more GitHub stars (379 vs 370). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and mcp-local-rag open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or mcp-local-rag?
- GraphCanon lists graph-backed alternatives at aquila alternatives and mcp-local-rag alternatives (aquila 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, aquila or mcp-local-rag?
- aquila: Dormant. 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 aquila and mcp-local-rag?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; mcp-local-rag trust report.