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Comparison

anything-llm vs go-streams

Verdict

Pick anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows; pick go-streams if go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications.

Markdown twin · anything-llm alternatives · go-streams alternatives

GraphCanon updated Sep 20, 2026

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

★ 66kpushed Sep 17, 2026
vs
go-streams logo

go-streams

reugn/go-streams

★ 2.2kpushed Jan 14, 2026

Trust & integrity

Signalanything-llmgo-streams
Maintenance
Very active (0d since push)
As of Sep 18, 2026 · github_public_v1
Slowing (245d since push)
As of Sep 17, 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 17, 2026 · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of Sep 18, 2026 · osv@v1
No lockfile (source not queried)
As of Jul 15, 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
anything-llm trust reportgo-streams trust reportTrust methodology

Tagline

anything-llm
Self-hosted AI agent experience
go-streams
lightweight stream processing library for Go

Stars

anything-llm
66k
go-streams
2.2k

Forks

anything-llm
7.3k
go-streams
174

Open issues

anything-llm
315
go-streams
12

Language

anything-llm
JavaScript
go-streams
Go

Adopt for

anything-llm
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
go-streams
go-streams is a lightweight stream processing library for Go that simplifies constructing and executing data pipelines and streaming applications.

Persona

anything-llm
-
go-streams
-

Runtime

anything-llm
-
go-streams
-

License

anything-llm
MIT License, allowing for free use, modification, and distribution.
go-streams
MIT

Last pushed

anything-llm
Sep 17, 2026
go-streams
Jan 14, 2026

Categories

anything-llm
AI Agents, Developer Tools, Inference & Serving
go-streams
Data & Retrieval, Developer Tools

Trust and health

Maintenance

anything-llm
Very active (96%)
go-streams
Slowing (36%)

Days since push

anything-llm
0d
go-streams
245d

Open issues (now)

anything-llm
315
go-streams
12

Stars delta

anything-llm
+1.5k (30d)
go-streams
0 (30d)

Open issues delta

anything-llm
-4 (30d)
go-streams
+1 (30d)

Owner type

anything-llm
Organization
go-streams
User

Full report

anything-llm
Trust report
go-streams
Trust report

Choose anything-llm if…

  • anything-llm is primarily JavaScript; go-streams is Go.
  • Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure..
  • Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment..
  • Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai.
  • Also covers AI Agents, Inference & Serving.
  • When you need a local-first AI agent experience that you can fully control and customize.

When NOT to use anything-llm

  • If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
  • When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
GitHubDetails

Choose go-streams if…

  • go-streams is primarily Go; anything-llm is JavaScript.
  • Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code.
  • Also covers Data & Retrieval.
  • When you need a lightweight solution for handling streams in Go projects.

When NOT to use go-streams

  • In scenarios where a more robust framework with extended features beyond lightweight streams is required.
  • For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools.
GitHubDetails

Explore

anything-llm trust report →go-streams trust report →AI Agents category →Developer Tools category →Inference & Serving category →Data & Retrieval 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: anything-llm 66k · go-streams 2.2k (synced Sep 20, 2026).

Common questions

What is the difference between anything-llm and go-streams?
anything-llm: Self-hosted AI agent experience. go-streams: lightweight stream processing library for Go. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over go-streams?
Choose anything-llm over go-streams when anything-llm is primarily JavaScript; go-streams is Go; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers AI Agents, Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize.
When should I choose go-streams over anything-llm?
Choose go-streams over anything-llm when go-streams is primarily Go; anything-llm is JavaScript; Tags unique to go-streams: aerospike, data-pipeline, kafka, low-code; Also covers Data & Retrieval; When you need a lightweight solution for handling streams in Go projects.
When should I avoid anything-llm?
If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
When should I avoid go-streams?
In scenarios where a more robust framework with extended features beyond lightweight streams is required. For projects preferring languages other than Go, as go-streams is exclusively for Go applications and does not offer similar functionality out-of-the-box compared to language-agnostic tools.
Is anything-llm or go-streams more popular on GitHub?
anything-llm has more GitHub stars (66,167 vs 2,172). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and go-streams open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, go-streams: MIT).
Where can I find alternatives to anything-llm or go-streams?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and go-streams alternatives (anything-llm markdown twin, go-streams 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, anything-llm or go-streams?
anything-llm: Very active. go-streams: 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 anything-llm and go-streams?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; go-streams trust report.

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