Home/Compare/awesome-vector-database vs chromem-go

Comparison

awesome-vector-database vs chromem-go

Verdict

Pick awesome-vector-database if a curated list of works on vector databases and high-dimensional structure searching without any implementation details; 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-database alternatives · chromem-go alternatives

GraphCanon updated today

awesome-vector-database logo

awesome-vector-database

dangkhoasdc/awesome-vector-database

355pushed Jul 20, 2026
vs
chromem-go logo

chromem-go

philippgille/chromem-go

1.0kpushed May 17, 2026

Trust & integrity

Signalawesome-vector-databasechromem-go
Maintenance
Very active (3d since push)
As of 4w · github_public_v1
Slowing (96d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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-database
A curated list of works on high dimensional structure/vector search and databases
chromem-go
Embeddable vector database for Go with Chroma-like interface.

Stars

awesome-vector-database
355
chromem-go
1.0k

Forks

awesome-vector-database
27
chromem-go
75

Open issues

awesome-vector-database
6
chromem-go
18

Language

awesome-vector-database
-
chromem-go
Go

Adopt for

awesome-vector-database
A curated list of works on vector databases and high-dimensional structure searching without any implementation details.
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-database
-
chromem-go
-

Runtime

awesome-vector-database
-
chromem-go
-

License

awesome-vector-database
CC0-1.0
chromem-go
MPL-2.0

Last pushed

awesome-vector-database
Jul 20, 2026
chromem-go
May 17, 2026

Categories

awesome-vector-database
Vector Databases
chromem-go
Vector Databases

Trust and health

Maintenance

awesome-vector-database
Very active (96%)
chromem-go
Slowing (36%)

Days since push

awesome-vector-database
3d
chromem-go
96d

Open issues (now)

awesome-vector-database
6
chromem-go
18

Stars delta

awesome-vector-database
Unknown
chromem-go
+14 (30d)

Open issues delta

awesome-vector-database
Unknown
chromem-go
+1 (30d)

Full report

awesome-vector-database
Trust report
chromem-go
Trust report

Choose awesome-vector-database if…

  • License: awesome-vector-database is CC0-1.0, chromem-go is MPL-2.0.
  • Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search.
  • If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.

When NOT to use awesome-vector-database

  • To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools.
  • If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides.

Choose chromem-go if…

  • License: chromem-go is MPL-2.0, awesome-vector-database is CC0-1.0.
  • 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 on cards: awesome-vector-database 355 · chromem-go 1.0k (synced Jul 24, 2026).

Common questions

What is the difference between awesome-vector-database and chromem-go?
awesome-vector-database: A curated list of works on high dimensional structure/vector search and databases. 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-database over chromem-go?
Choose awesome-vector-database over chromem-go when License: awesome-vector-database is CC0-1.0, chromem-go is MPL-2.0; Tags unique to awesome-vector-database: approximate-nearest-neighbor-search, embedding-similarity, embeddings-similarity, nearest-neighbor-search; If you require a comprehensive overview of vector database projects and research papers, as it aggregates information from various sources across the field.
When should I choose chromem-go over awesome-vector-database?
Choose chromem-go over awesome-vector-database when License: chromem-go is MPL-2.0, awesome-vector-database is CC0-1.0; 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-database?
To find ready-to-use implementations or specific product releases; this repository serves more as a collection of references rather than real-world tools. If you are looking for direct integration code snippets or detailed tutorials, since the tool is centered on listing and curating resources without delving into practical guides.
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-database or chromem-go more popular on GitHub?
chromem-go has more GitHub stars (1,047 vs 355). Stars measure visibility, not whether either tool fits your constraints.
Are awesome-vector-database and chromem-go open source?
Yes - both are open-source projects on GitHub (awesome-vector-database: CC0-1.0, chromem-go: MPL-2.0).
Where can I find alternatives to awesome-vector-database or chromem-go?
GraphCanon lists graph-backed alternatives at awesome-vector-database alternatives and chromem-go alternatives (awesome-vector-database 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-database or chromem-go?
awesome-vector-database: Very 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-database and chromem-go?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-vector-database trust report; chromem-go trust report.

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