Home/Compare/anything-llm vs lakeFS

Comparison

anything-llm vs lakeFS

Verdict

Pick anything-llm when anything-llm is primarily JavaScript; lakeFS is Go; pick lakeFS when lakeFS is primarily Go; anything-llm is JavaScript.

Markdown twin · anything-llm alternatives · lakeFS alternatives

GraphCanon updated today

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026
vs
lakeFS logo

lakeFS

treeverse/lakeFS

5.4kpushed Jul 11, 2026

Trust & integrity

Signalanything-llmlakeFS
Maintenance
Very active (0d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No lockfile
As of today · none
5 low (5 low)
As of today · osv@v1

Tagline

anything-llm
Self-hosted agent experience with deployment scripts for multiple environments
lakeFS
lakeFS - Data version control for your data lake | Git for data

Stars

anything-llm
63k
lakeFS
5.4k

Forks

anything-llm
6.9k
lakeFS
461

Open issues

anything-llm
320
lakeFS
431

Language

anything-llm
JavaScript
lakeFS
Go

Adopt for

anything-llm
Self-hosted AI agent experience with robust deployment scripts across multiple environments.
lakeFS
-

Persona

anything-llm
-
lakeFS
-

Runtime

anything-llm
-
lakeFS
-

License

anything-llm
MIT
lakeFS
Apache-2.0

Last pushed

anything-llm
Jul 11, 2026
lakeFS
Jul 11, 2026

Categories

anything-llm
AI Agents, Inference & Serving
lakeFS
AI Agents, LLM Frameworks

Trust and health

Open issues (now)

anything-llm
320
lakeFS
431

Security scan

anything-llm
No lockfile
lakeFS
5 low (5 low)

Full report

anything-llm
Trust report

Choose anything-llm if…

  • anything-llm is primarily JavaScript; lakeFS is Go.
  • License: anything-llm is MIT, lakeFS is Apache-2.0.
  • Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm.
  • Also covers Inference & Serving.
  • When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.

When NOT to use anything-llm

  • Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments.
  • Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.

Choose lakeFS if…

  • lakeFS is primarily Go; anything-llm is JavaScript.
  • License: lakeFS is Apache-2.0, anything-llm is MIT.
  • Tags unique to lakeFS: apache-spark, apache-sparksql, aws-s3, azure-blob-storage.
  • Also covers LLM Frameworks.
  • lakeFS ships Docker support for self-hosted deployment.

When NOT to use lakeFS

  • AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Explore

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 63k · lakeFS 5.4k (synced Jul 11, 2026).

Common questions

What is the difference between anything-llm and lakeFS?
anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. lakeFS: lakeFS - Data version control for your data lake | Git for data. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over lakeFS?
Choose anything-llm over lakeFS when anything-llm is primarily JavaScript; lakeFS is Go; License: anything-llm is MIT, lakeFS is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more.
When should I choose lakeFS over anything-llm?
Choose lakeFS over anything-llm when lakeFS is primarily Go; anything-llm is JavaScript; License: lakeFS is Apache-2.0, anything-llm is MIT; Tags unique to lakeFS: apache-spark, apache-sparksql, aws-s3, azure-blob-storage; Also covers LLM Frameworks; lakeFS ships Docker support for self-hosted deployment.
When should I avoid anything-llm?
Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods.
When should I avoid lakeFS?
AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Is anything-llm or lakeFS more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 5,438). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and lakeFS open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, lakeFS: Apache-2.0).
Where can I find alternatives to anything-llm or lakeFS?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and lakeFS alternatives (anything-llm markdown twin, lakeFS 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 lakeFS?
anything-llm: Very active. lakeFS: Very 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 anything-llm and lakeFS?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; lakeFS trust report.