Home/Compare/agency vs langchaingo

Comparison

agency vs langchaingo

Verdict

Pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques; pick langchaingo if langChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Markdown twin · agency alternatives · langchaingo alternatives

GraphCanon updated 4d

agency logo

agency

neurocult/agency

514pushed Jan 8, 2025
vs
langchaingo logo

langchaingo

tmc/langchaingo

9.6kpushed Jan 11, 2026

Trust & integrity

Signalagencylangchaingo
Maintenance
Dormant (589d since push)
As of 4d · github_public_v1
Slowing (208d since push)
As of 2w · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Personal account
As of 2w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
Published findings
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

agency
Library for exploring Large Language Models and generative AI in Go
langchaingo
LangChain for Go, the easiest way to write LLM-based programs in Go

Stars

agency
514
langchaingo
9.6k

Forks

agency
36
langchaingo
1.1k

Open issues

agency
4
langchaingo
410

Language

agency
Go
langchaingo
Go

Adopt for

agency
Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
langchaingo
LangChainGo simplifies the integration of Large Language Models into Go projects through easy-to-use APIs and composability.

Persona

agency
-
langchaingo
-

Runtime

agency
-
langchaingo
-

License

agency
MIT
langchaingo
MIT

Last pushed

agency
Jan 8, 2025
langchaingo
Jan 11, 2026

Categories

agency
AI Agents, LLM Frameworks
langchaingo
Developer Tools, LLM Frameworks

Trust and health

Maintenance

agency
Dormant (18%)
langchaingo
Slowing (36%)

Days since push

agency
589d
langchaingo
208d

Open issues (now)

agency
4
langchaingo
410

Stars delta

agency
+2 (30d)
langchaingo
Unknown

Open issues delta

agency
0 (30d)
langchaingo
Unknown

Owner type

agency
Organization
langchaingo
User

OSV dependency advisories

agency
No lockfile (source not queried)
langchaingo
Published findings

Full report

langchaingo
Trust report

Choose agency if…

  • Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository..
  • Tags unique to agency: agents, generative-ai, language-models, neural-networks.
  • Also covers AI Agents.
  • If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.

When NOT to use agency

  • Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
  • Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.

Choose langchaingo if…

  • Tags unique to langchaingo: ai, golang, langchain.
  • Also covers Developer Tools.
  • - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.

When NOT to use langchaingo

  • - If your project strictly adheres to another programming language where other implementations of LangChain are available.
  • - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.

Explore

Sources

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

GitHub stars on cards: agency 514 · langchaingo 9.6k (synced Aug 21, 2026).

Common questions

What is the difference between agency and langchaingo?
agency: Library for exploring Large Language Models and generative AI in Go. langchaingo: LangChain for Go, the easiest way to write LLM-based programs in Go. See the comparison table for live GitHub stats and shared categories.
When should I choose agency over langchaingo?
Choose agency over langchaingo when Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: agents, generative-ai, language-models, neural-networks; Also covers AI Agents; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
When should I choose langchaingo over agency?
Choose langchaingo over agency when Tags unique to langchaingo: ai, golang, langchain; Also covers Developer Tools; - You are working on a project that requires LLM-based capabilities, but prefer to code in Go.
When should I avoid agency?
Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
When should I avoid langchaingo?
- If your project strictly adheres to another programming language where other implementations of LangChain are available. - When your application requires heavy customization at the framework level that might not be directly supported within LangChainGo’s current implementation.
Is agency or langchaingo more popular on GitHub?
langchaingo has more GitHub stars (9,600 vs 514). Stars measure visibility, not whether either tool fits your constraints.
Are agency and langchaingo open source?
Yes - both are open-source projects on GitHub (agency: MIT, langchaingo: MIT).
Where can I find alternatives to agency or langchaingo?
GraphCanon lists graph-backed alternatives at agency alternatives and langchaingo alternatives (agency markdown twin, langchaingo 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, agency or langchaingo?
agency: Dormant. langchaingo: 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 agency and langchaingo?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agency trust report; langchaingo trust report.

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