Comparison
awesome-vector-search vs chromem-go
Verdict
Pick awesome-vector-search if curated collection of vector search-related resources including libraries, services, and research papers; pick chromem-go if chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities.
Markdown twin · awesome-vector-search alternatives · chromem-go alternatives
GraphCanon updated today
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Trust & integrity
| Signal | awesome-vector-search | chromem-go |
|---|---|---|
| Maintenance | Active (17d since push) As of 4w · github_public_v1 | Slowing (96d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of today · 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
- awesome-vector-search
- Collections of vector search related libraries, service and research papers
- chromem-go
- Embeddable vector database for Go with Chroma-like interface.
Stars
- awesome-vector-search
- 1.6k
- chromem-go
- 1.0k
Forks
- awesome-vector-search
- 123
- chromem-go
- 75
Open issues
- awesome-vector-search
- 14
- chromem-go
- 18
Language
- awesome-vector-search
- -
- chromem-go
- Go
Adopt for
- awesome-vector-search
- Curated collection of vector search-related resources including libraries, services, and research papers.
- chromem-go
- Chromem-go is an embeddable vector database for Go that provides a Chroma-like interface with no third-party dependencies, suitable for applications needing in-memory persistence and cosine similarity search capabilities
Persona
- awesome-vector-search
- -
- chromem-go
- -
Runtime
- awesome-vector-search
- -
- chromem-go
- -
License
- awesome-vector-search
- MIT
- chromem-go
- MPL-2.0
Last pushed
- awesome-vector-search
- Jul 6, 2026
- chromem-go
- May 17, 2026
Categories
- awesome-vector-search
- Vector Databases
- chromem-go
- Vector Databases
Trust and health
Maintenance
- awesome-vector-search
- Active (82%)
- chromem-go
- Slowing (36%)
Days since push
- awesome-vector-search
- 17d
- chromem-go
- 96d
Open issues (now)
- awesome-vector-search
- 14
- chromem-go
- 18
Stars delta
- awesome-vector-search
- Unknown
- chromem-go
- +14 (30d)
Open issues delta
- awesome-vector-search
- Unknown
- chromem-go
- +1 (30d)
Owner type
- awesome-vector-search
- Organization
- chromem-go
- User
Full report
- awesome-vector-search
- Trust report
- chromem-go
- Trust report
Choose awesome-vector-search if…
- License: awesome-vector-search is MIT, chromem-go is MPL-2.0.
- Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning.
- You need a comprehensive overview of vector search technology.
When NOT to use awesome-vector-search
- Require real-time vector search service implementation details outside listed libraries.
- Seeking detailed code tutorials rather than a list of resources.
Choose chromem-go if…
- License: chromem-go is MPL-2.0, awesome-vector-search is MIT.
- Requirements: Min 0.5 GB RAM.
- Tags unique to chromem-go: chroma, cosine-similarity, embeddings, in-memory.
- If you are building applications in Go and require an in-memory vector database without additional third-party libraries.
When NOT to use chromem-go
- Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options.
- Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (currentslab/awesome-vector-search) · observed Jul 23, 2026
- GitHub forks (currentslab/awesome-vector-search) · observed Jul 23, 2026
- Last push (currentslab/awesome-vector-search) · observed Jul 6, 2026
- License file (MIT) · observed Jul 23, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (philippgille/chromem-go) · observed Aug 21, 2026
- GitHub forks (philippgille/chromem-go) · observed Aug 21, 2026
- Last push (philippgille/chromem-go) · observed May 17, 2026
- License file (MPL-2.0) · observed Aug 21, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-vector-search 1.6k · chromem-go 1.0k (synced Jul 23, 2026).
Common questions
- What is the difference between awesome-vector-search and chromem-go?
- awesome-vector-search: Collections of vector search related libraries, service and research papers. chromem-go: Embeddable vector database for Go with Chroma-like interface.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-vector-search over chromem-go?
- Choose awesome-vector-search over chromem-go when License: awesome-vector-search is MIT, chromem-go is MPL-2.0; Tags unique to awesome-vector-search: awesome, awesome-list, knn-search, machine-learning; You need a comprehensive overview of vector search technology.
- When should I choose chromem-go over awesome-vector-search?
- Choose chromem-go over awesome-vector-search when License: chromem-go is MPL-2.0, awesome-vector-search is MIT; Requirements: Min 0.5 GB RAM; Tags unique to chromem-go: chroma, cosine-similarity, embeddings, in-memory; If you are building applications in Go and require an in-memory vector database without additional third-party libraries.
- When should I avoid awesome-vector-search?
- Require real-time vector search service implementation details outside listed libraries. Seeking detailed code tutorials rather than a list of resources.
- When should I avoid chromem-go?
- Avoid Chromem-go if you seek a traditional, disk-based persistence model as it primarily supports in-memory operations with optional persistence options. Chromem-go is not the best choice if your application requires heavy concurrent load and large-scale data handling which might surpass the in-memory capability limits of this library.
- Is awesome-vector-search or chromem-go more popular on GitHub?
- awesome-vector-search has more GitHub stars (1,576 vs 1,047). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-vector-search and chromem-go open source?
- Yes - both are open-source projects on GitHub (awesome-vector-search: MIT, chromem-go: MPL-2.0).
- Where can I find alternatives to awesome-vector-search or chromem-go?
- GraphCanon lists graph-backed alternatives at awesome-vector-search alternatives and chromem-go alternatives (awesome-vector-search markdown twin, chromem-go 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, awesome-vector-search or chromem-go?
- awesome-vector-search: Active. chromem-go: 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 awesome-vector-search and chromem-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-search trust report; chromem-go trust report.