Home/Compare/anything-llm vs frai

Comparison

anything-llm vs frai

Verdict

Pick anything-llm when tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; pick frai when tags unique to frai: ai, ai-compliance, ai-governance, artificial-intelligence.

Markdown twin · anything-llm alternatives · frai alternatives

GraphCanon updated today

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026
vs
frai logo

frai

sebuzdugan/frai

51pushed Apr 25, 2026

Trust & integrity

Signalanything-llmfrai
Maintenance
Very active (0d since push)
As of 4d · github_public_v1
Steady (80d since push)
As of today · github_public_v1
Provenance
Not a fork · Organization account
As of 4d · github_public_v1
Not a fork · Personal account
As of today · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 4d · osv@v1
No published findings from this source as of 2026-07-15
As of today · 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

anything-llm
Self-hosted agent experience with deployment scripts for multiple environments
frai
Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.

Stars

anything-llm
63k
frai
51

Forks

anything-llm
6.9k
frai
4

Open issues

anything-llm
320
frai
0

Language

anything-llm
JavaScript
frai
JavaScript

Adopt for

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

Persona

anything-llm
-
frai
-

Runtime

anything-llm
-
frai
-

License

anything-llm
MIT
frai
MIT

Last pushed

anything-llm
Jul 11, 2026
frai
Apr 25, 2026

Categories

anything-llm
AI Agents, Inference & Serving
frai
AI Agents, LLM Frameworks, Vector Databases

Trust and health

Maintenance

anything-llm
Very active (96%)
frai
Steady (60%)

Days since push

anything-llm
0d
frai
80d

Open issues (now)

anything-llm
320
frai
0

Owner type

anything-llm
Organization
frai
User

OSV dependency advisories

anything-llm
No lockfile (source not queried)
frai
No published findings from this source as of 2026-07-15

Full report

anything-llm
Trust report

Choose anything-llm if…

  • 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 frai if…

  • Tags unique to frai: ai, ai-compliance, ai-governance, artificial-intelligence.
  • Also covers LLM Frameworks, Vector Databases.
  • Leaner open-issue backlog (0).

When NOT to use frai

  • 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.
  • Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

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 · frai 51 (synced Jul 11, 2026).

Common questions

What is the difference between anything-llm and frai?
anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. frai: Open-source toolkit for responsible AI: CLI + SDK to scan code, collect evidence, and generate model cards, risk files, evals, and RAG indexes.. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over frai?
Choose anything-llm over frai when 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 frai over anything-llm?
Choose frai over anything-llm when Tags unique to frai: ai, ai-compliance, ai-governance, artificial-intelligence; Also covers LLM Frameworks, Vector Databases; Leaner open-issue backlog (0).
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 frai?
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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.
Is anything-llm or frai more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 51). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and frai open source?
Yes - both are open-source projects on GitHub (anything-llm: MIT, frai: MIT).
Where can I find alternatives to anything-llm or frai?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and frai alternatives (anything-llm markdown twin, frai 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 frai?
anything-llm: Very active. frai: Steady. 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 frai?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; frai trust report.

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