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Comparison

chroma vs chromem-go

Verdict

Pick chroma if chroma is an open-source data infrastructure for AI, offering vector, hybrid, and full-text search capabilities. It supports multiple programming languages and provides a simple API for managing collections and querying; 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.

Markdown twin · chroma alternatives · chromem-go alternatives

GraphCanon updated Sep 20, 2026

17views this month

chroma logo

chroma

chroma-core/chroma

★ 29kpushed Sep 17, 2026
vs
chromem-go logo

chromem-go

philippgille/chromem-go

★ 1.1kpushed Sep 6, 2026

Trust & integrity

Signalchromachromem-go
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Active (13d since push)
As of Sep 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 18, 2026 · github_public_v1
Not a fork · Personal account
As of Sep 20, 2026 · github_public_v1
OSV dependency advisories
Published findings
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
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
chroma trust reportchromem-go trust reportTrust methodology

Tagline

chroma
Search infrastructure for AI
chromem-go
Embeddable vector database for Go with Chroma-like interface.

Stars

chroma
29k
chromem-go
1.1k

Forks

chroma
2.5k
chromem-go
77

Open issues

chroma
864
chromem-go
17

Language

chroma
Rust
chromem-go
Go

Adopt for

chroma
Chroma is an open-source data infrastructure for AI, offering vector, hybrid, and full-text search capabilities. It supports multiple programming languages and provides a simple API for managing collections and querying.
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

chroma
-
chromem-go
-

Runtime

chroma
-
chromem-go
-

License

chroma
Chroma is licensed under the Apache-2.0 license, which is a permissive free software license.
chromem-go
MPL-2.0

Last pushed

chroma
Sep 17, 2026
chromem-go
Sep 6, 2026

Categories

chroma
Data & Retrieval, Vector Databases
chromem-go
Vector Databases

Trust and health

Maintenance

chroma
Very active (96%)
chromem-go
Active (82%)

Days since push

chroma
0d
chromem-go
13d

Open issues (now)

chroma
864
chromem-go
17

Stars delta

chroma
+422 (30d)
chromem-go
+25 (30d)

Open issues delta

chroma
+118 (30d)
chromem-go
0 (30d)

Owner type

chroma
Organization
chromem-go
User

OSV dependency advisories

chroma
Published findings
chromem-go
No lockfile (source not queried)

Full report

chroma
Trust report
chromem-go
Trust report

Typed relationship

chroma alternative chromem-goBoth chromadb and chromem-go serve as vector database solutions but are implemented in different programming languages (Python vs Go) with similar interfaces.

Choose chroma if…

  • chroma is primarily Rust; chromem-go is Go.
  • License: chroma is Apache-2.0, chromem-go is MPL-2.0.
  • Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available..
  • Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database..
  • Both chromadb and chromem-go serve as vector database solutions but are implemented in different programming languages (Python vs Go) with similar interfaces.
  • Tags unique to chroma: agents, ai, ai-agents, database.
  • Also covers Data & Retrieval.
  • chroma ships Docker support for self-hosted deployment.
  • When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.

When NOT to use chroma

  • If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with.
  • When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search.
  • If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack.
  • When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
GitHubDetails

Choose chromem-go if…

  • chromem-go is primarily Go; chroma is Rust.
  • License: chromem-go is MPL-2.0, chroma is Apache-2.0.
  • Requirements: Min 0.5 GB RAM.
  • Both chromadb and chromem-go serve as vector database solutions but are implemented in different programming languages (Python vs Go) with similar interfaces.
  • 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.
GitHubDetails

Explore

chroma trust report →chromem-go trust report →Data & Retrieval category →Vector Databases category →All comparisonsStack workflowsTrending tools

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: chroma 29k · chromem-go 1.1k (synced Sep 20, 2026).

Common questions

What is the difference between chroma and chromem-go?
chroma: Search infrastructure for AI. 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 chroma over chromem-go?
Choose chroma over chromem-go when chroma is primarily Rust; chromem-go is Go; License: chroma is Apache-2.0, chromem-go is MPL-2.0; Pricing: Chroma is open-source and free to use, but it also offers a hosted service called Chroma Cloud, which is cost-effective and scalable, with $5 of free credits available.; Requirements: Min 1 GB RAM; Chroma can be installed via pip for Python and npm for JavaScript.; For client-server mode, you can run Chroma with a specified path for the database.; Both chromadb and chromem-go serve as vector database solutions but are implemented in different programming languages (Python vs Go) with similar interfaces; Tags unique to chroma: agents, ai, ai-agents, database; Also covers Data & Retrieval; chroma ships Docker support for self-hosted deployment; When you need a simple and efficient API for creating collections, adding documents, and querying data with vector, hybrid, and full-text search capabilities.
When should I choose chromem-go over chroma?
Choose chromem-go over chroma when chromem-go is primarily Go; chroma is Rust; License: chromem-go is MPL-2.0, chroma is Apache-2.0; Requirements: Min 0.5 GB RAM; Both chromadb and chromem-go serve as vector database solutions but are implemented in different programming languages (Python vs Go) with similar interfaces; 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 chroma?
If you need a solution that is tightly integrated with a specific database system that Chroma does not support or integrate with. When you require a more complex or specialized search infrastructure that offers features beyond vector, hybrid, and full-text search. If you are working in an environment where Rust is not a preferred language, and you need a tool that is more aligned with your existing tech stack. When you need a solution that is not open-source and prefer proprietary software with dedicated support and features.
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 chroma or chromem-go more popular on GitHub?
chroma has more GitHub stars (29,320 vs 1,058). Stars measure visibility, not whether either tool fits your constraints.
Are chroma and chromem-go open source?
Yes - both are open-source projects on GitHub (chroma: Apache-2.0, chromem-go: MPL-2.0).
Where can I find alternatives to chroma or chromem-go?
GraphCanon lists graph-backed alternatives at chroma alternatives and chromem-go alternatives (chroma 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, chroma or chromem-go?
chroma: Very active. chromem-go: 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 chroma and chromem-go?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: chroma trust report; chromem-go trust report.

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