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
vs
Trust & integrity
| Signal | anything-llm | SuperPrompt |
|---|---|---|
| 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 (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- GitHub forks (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- Last push (Mintplex-Labs/anything-llm) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- GitHub forks (NeoVertex1/SuperPrompt) · observed Jul 11, 2026
- Last push (NeoVertex1/SuperPrompt) · observed Apr 26, 2026
- License file (unknown) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
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.