Home/Compare/CL4R1T4S vs anything-llm

Comparison

CL4R1T4S vs anything-llm

Verdict

Pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, anything-llm is MIT; pick anything-llm when license: anything-llm is MIT, CL4R1T4S is AGPL-3.0.

Markdown twin · CL4R1T4S alternatives · anything-llm alternatives

GraphCanon updated 1d

CL4R1T4S logo

CL4R1T4S

elder-plinius/CL4R1T4S

45kpushed Jun 15, 2026
vs
anything-llm logo

anything-llm

Mintplex-Labs/anything-llm

63kpushed Jul 11, 2026

Trust & integrity

SignalCL4R1T4Sanything-llm
Maintenance
Active (26d since push)
As of 1d · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Personal account
As of 1d · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
Security (OSV)
No lockfile
As of 1d · none
No lockfile
As of 1d · none

Tagline

CL4R1T4S
LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐
anything-llm
Self-hosted agent experience with deployment scripts for multiple environments

Stars

CL4R1T4S
45k
anything-llm
63k

Forks

CL4R1T4S
9.2k
anything-llm
6.9k

Open issues

CL4R1T4S
118
anything-llm
320

Language

CL4R1T4S
-
anything-llm
JavaScript

Adopt for

CL4R1T4S
-
anything-llm
Self-hosted AI agent experience with robust deployment scripts across multiple environments.

Persona

CL4R1T4S
-
anything-llm
-

Runtime

CL4R1T4S
-
anything-llm
-

License

CL4R1T4S
AGPL-3.0
anything-llm
MIT

Last pushed

CL4R1T4S
Jun 15, 2026
anything-llm
Jul 11, 2026

Categories

CL4R1T4S
AI Agents, LLM Frameworks
anything-llm
AI Agents, Inference & Serving

Trust and health

Maintenance

CL4R1T4S
Active (82%)
anything-llm
Very active (96%)

Days since push

CL4R1T4S
26d
anything-llm
0d

Open issues (now)

CL4R1T4S
118
anything-llm
320

Owner type

CL4R1T4S
User
anything-llm
Organization

Full report

CL4R1T4S
Trust report
anything-llm
Trust report

Choose CL4R1T4S if…

  • License: CL4R1T4S is AGPL-3.0, anything-llm is MIT.
  • Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini.
  • Also covers LLM Frameworks.

When NOT to use CL4R1T4S

  • 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.

Choose anything-llm if…

  • License: anything-llm is MIT, CL4R1T4S is AGPL-3.0.
  • 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.

Explore

Sources

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

GitHub stars on cards: CL4R1T4S 45k · anything-llm 63k (synced Jul 11, 2026).

Common questions

What is the difference between CL4R1T4S and anything-llm?
CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. 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 CL4R1T4S over anything-llm?
Choose CL4R1T4S over anything-llm when License: CL4R1T4S is AGPL-3.0, anything-llm is MIT; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Also covers LLM Frameworks.
When should I choose anything-llm over CL4R1T4S?
Choose anything-llm over CL4R1T4S when License: anything-llm is MIT, CL4R1T4S is AGPL-3.0; 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 avoid CL4R1T4S?
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.
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 CL4R1T4S or anything-llm more popular on GitHub?
anything-llm has more GitHub stars (63,100 vs 45,233). Stars measure visibility, not whether either tool fits your constraints.
Are CL4R1T4S and anything-llm open source?
Yes - both are open-source projects on GitHub (CL4R1T4S: AGPL-3.0, anything-llm: MIT).
Where can I find alternatives to CL4R1T4S or anything-llm?
GraphCanon lists graph-backed alternatives at CL4R1T4S alternatives and anything-llm alternatives (CL4R1T4S 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, CL4R1T4S or anything-llm?
CL4R1T4S: Active. 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 CL4R1T4S and anything-llm?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CL4R1T4S trust report; anything-llm trust report.