Home/Compare/DecryptPrompt vs anything-llm

Comparison

DecryptPrompt vs anything-llm

Verdict

Pick DecryptPrompt when tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration; pick anything-llm when tags unique to anything-llm: no-code, agentic-ai, agent-computer, local-ai.

Markdown twin · DecryptPrompt alternatives · anything-llm alternatives

GraphCanon updated today

DecryptPrompt logo

DecryptPrompt

DSXiangLi/DecryptPrompt

3.4kpushed May 6, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

SignalDecryptPromptanything-llm
Maintenance
Steady (66d since push)
As of today · github_public_v1
Very active (0d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal 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
No lockfile
As of today · none

Tagline

DecryptPrompt
总结Prompt&LLM论文,开源数据&模型,AIGC应用
anything-llm
Self-hosted agent experience with deployment scripts for multiple environments

Stars

DecryptPrompt
3.4k
anything-llm
63k

Forks

DecryptPrompt
322
anything-llm
6.9k

Open issues

DecryptPrompt
1
anything-llm
320

Language

DecryptPrompt
-
anything-llm
JavaScript

Adopt for

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

Persona

DecryptPrompt
-
anything-llm
-

Runtime

DecryptPrompt
-
anything-llm
-

License

DecryptPrompt
-
anything-llm
MIT

Last pushed

DecryptPrompt
May 6, 2026
anything-llm
Jul 11, 2026

Categories

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

Trust and health

Maintenance

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

Days since push

DecryptPrompt
66d
anything-llm
0d

Open issues (now)

DecryptPrompt
1
anything-llm
320

Owner type

DecryptPrompt
User
anything-llm
Organization

Full report

DecryptPrompt
Trust report
anything-llm
Trust report

Choose DecryptPrompt if…

  • Tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration.
  • Also covers LLM Frameworks.
  • Leaner open-issue backlog (1).

When NOT to use DecryptPrompt

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

Choose anything-llm if…

  • Tags unique to anything-llm: no-code, agentic-ai, agent-computer, local-ai.
  • 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: DecryptPrompt 3.4k · anything-llm 63k (synced Jul 11, 2026).

Common questions

What is the difference between DecryptPrompt and anything-llm?
DecryptPrompt: 总结Prompt&LLM论文,开源数据&模型,AIGC应用. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories.
When should I choose DecryptPrompt over anything-llm?
Choose DecryptPrompt over anything-llm when Tags unique to DecryptPrompt: chain-of-thought, few-shot-learning, instruction-tuning, demonstration; Also covers LLM Frameworks; Leaner open-issue backlog (1).
When should I choose anything-llm over DecryptPrompt?
Choose anything-llm over DecryptPrompt when Tags unique to anything-llm: no-code, agentic-ai, agent-computer, local-ai; 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 avoid DecryptPrompt?
LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
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.
Is DecryptPrompt or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 3,422). Stars measure visibility, not whether either tool fits your constraints.
Are DecryptPrompt and anything-llm open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to DecryptPrompt or anything-llm?
GraphCanon lists graph-backed alternatives at DecryptPrompt alternatives and anything-llm alternatives (DecryptPrompt markdown twin, anything-llm 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, DecryptPrompt or anything-llm?
DecryptPrompt: Steady. anything-llm: 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 DecryptPrompt and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: DecryptPrompt trust report; anything-llm trust report.