Home/Compare/anything-llm vs SuperPrompt

Comparison

anything-llm vs SuperPrompt

Verdict

Pick anything-llm when tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; pick SuperPrompt when tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts.

Markdown twin · anything-llm alternatives · SuperPrompt alternatives

GraphCanon updated today

anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026
vs
SuperPrompt logo

SuperPrompt

NeoVertex1/SuperPrompt

6.4kpushed Apr 26, 2026

Trust & integrity

Signalanything-llmSuperPrompt
Maintenance
Very active (0d since push)
As of 1d · github_public_v1
Steady (75d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 1d · github_public_v1
Not a fork · Personal account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

anything-llm
Self-hosted agent experience with deployment scripts for multiple environments
SuperPrompt
SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.

Stars

anything-llm
63k
SuperPrompt
6.4k

Forks

anything-llm
6.9k
SuperPrompt
574

Open issues

anything-llm
320
SuperPrompt
12

Language

anything-llm
JavaScript
SuperPrompt
-

Adopt for

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

Persona

anything-llm
-
SuperPrompt
-

Runtime

anything-llm
-
SuperPrompt
-

License

anything-llm
MIT
SuperPrompt
-

Last pushed

anything-llm
Jul 11, 2026
SuperPrompt
Apr 26, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

anything-llm
0d
SuperPrompt
75d

Open issues (now)

anything-llm
320
SuperPrompt
12

Owner type

anything-llm
Organization
SuperPrompt
User

Full report

anything-llm
Trust report
SuperPrompt
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 SuperPrompt if…

  • Tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts.
  • Also covers LLM Frameworks.
  • Leaner open-issue backlog (12).

When NOT to use SuperPrompt

  • 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 · SuperPrompt 6.4k (synced Jul 11, 2026).

Common questions

What is the difference between anything-llm and SuperPrompt?
anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. SuperPrompt: SuperPrompt is an attempt to engineer prompts that might help us understand AI agents.. See the comparison table for live GitHub stats and shared categories.
When should I choose anything-llm over SuperPrompt?
Choose anything-llm over SuperPrompt 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 SuperPrompt over anything-llm?
Choose SuperPrompt over anything-llm when Tags unique to SuperPrompt: ai, ml, prompt-engineering, prompts; Also covers LLM Frameworks; Leaner open-issue backlog (12).
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 SuperPrompt?
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 SuperPrompt more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 6,419). Stars measure visibility, not whether either tool fits your constraints.
Are anything-llm and SuperPrompt open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to anything-llm or SuperPrompt?
GraphCanon lists graph-backed alternatives at anything-llm alternatives and SuperPrompt alternatives (anything-llm markdown twin, SuperPrompt 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 SuperPrompt?
anything-llm: Very active. SuperPrompt: 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 SuperPrompt?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: anything-llm trust report; SuperPrompt trust report.