Comparison
aquila vs grepai
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 grepai if grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Markdown twin · aquila alternatives · grepai alternatives
GraphCanon updated 1d · 85 views this month
vs
Trust & integrity
| Signal | aquila | grepai |
|---|---|---|
| Maintenance | Dormant (817d since push) As of 3w · github_public_v1 | Steady (61d 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 lockfile (source not queried) As of 1mo · 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
- grepai
- Semantic Search & Call Graphs for AI Agents (100% Local)
Stars
- aquila
- 379
- grepai
- 1.8k
Forks
- aquila
- 26
- grepai
- 152
Open issues
- aquila
- 13
- grepai
- 97
Language
- aquila
- HTML
- grepai
- C
Adopt for
- aquila
- Aquila is an efficient neural search engine designed for indexing latent vectors and JSON metadata while performing k-NN searches.
- grepai
- grepai is designed for developing local semantic search and call graphs for AI agents with an emphasis on privacy.
Persona
- aquila
- -
- grepai
- -
Runtime
- aquila
- -
- grepai
- -
License
- aquila
- -
- grepai
- MIT license, allowing for wide usage in both open-source and proprietary applications without restrictions on redistribution.
Last pushed
- aquila
- May 6, 2024
- grepai
- Jun 22, 2026
Categories
- aquila
- Data & Retrieval, Vector Databases
- grepai
- Developer Tools, Vector Databases
Trust and health
Maintenance
- aquila
- Dormant (18%)
- grepai
- Steady (60%)
Days since push
- aquila
- 817d
- grepai
- 61d
Open issues (now)
- aquila
- 13
- grepai
- 97
Stars delta
- aquila
- Unknown
- grepai
- +36 (30d)
Open issues delta
- aquila
- Unknown
- grepai
- +1 (30d)
Owner type
- aquila
- Organization
- grepai
- User
Full report
- aquila
- Trust report
- grepai
- Trust report
Choose aquila if…
- aquila is primarily HTML; grepai is C.
- Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors.
- Also covers Data & Retrieval.
- 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 grepai if…
- grepai is primarily C; aquila is HTML.
- Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires..
- Tags unique to grepai: ai, claude-code, cli, code-search.
- Also covers Developer Tools.
- When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
When NOT to use grepai
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality.
- If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
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 (yoanbernabeu/grepai) · observed Aug 22, 2026
- GitHub forks (yoanbernabeu/grepai) · observed Aug 22, 2026
- Last push (yoanbernabeu/grepai) · observed Jun 22, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: aquila 379 · grepai 1.8k (synced Aug 2, 2026).
Common questions
- What is the difference between aquila and grepai?
- aquila: Efficient Neural Search Engine. grepai: Semantic Search & Call Graphs for AI Agents (100% Local). See the comparison table for live GitHub stats and shared categories.
- When should I choose aquila over grepai?
- Choose aquila over grepai when aquila is primarily HTML; grepai is C; Tags unique to aquila: approximate-nearest-neighbor-search, embedding, faiss, feature-vectors; Also covers Data & Retrieval; 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 grepai over aquila?
- Choose grepai over aquila when grepai is primarily C; aquila is HTML; Pricing: Available at no cost due to its MIT licensing, with the scope of use limited only by any dependencies it requires.; Tags unique to grepai: ai, claude-code, cli, code-search; Also covers Developer Tools; When you need to develop a system that prioritizes local processing without cloud dependencies, which is essential in highly regulated environments where data privacy and security are paramount.
- 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 grepai?
- Not suitable if your application requires real-time updates from cloud-based services, as grepai operates entirely locally without any online components for updating its functionality. If the development team prefers not to deal with C language implementation details,grepai might be less attractive given that other tools may support more modern or higher-level languages like Python.
- Is aquila or grepai more popular on GitHub?
- grepai has more GitHub stars (1,825 vs 379). Stars measure visibility, not whether either tool fits your constraints.
- Are aquila and grepai open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to aquila or grepai?
- GraphCanon lists graph-backed alternatives at aquila alternatives and grepai alternatives (aquila markdown twin, grepai 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 grepai?
- aquila: Dormant. grepai: Steady. 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 grepai?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: aquila trust report; grepai trust report.