Comparison
CL4R1T4S vs TradingAgents
Verdict
Pick CL4R1T4S when license: CL4R1T4S is AGPL-3.0, TradingAgents is Apache-2.0; pick TradingAgents when license: TradingAgents is Apache-2.0, CL4R1T4S is AGPL-3.0.
Markdown twin · CL4R1T4S alternatives · TradingAgents alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | CL4R1T4S | TradingAgents |
|---|---|---|
| Maintenance | Active (26d since push) As of 1d · github_public_v1 | Very active (5d 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! 👐
- TradingAgents
- Multi-Agents LLM Financial Trading Framework
Stars
- CL4R1T4S
- 45k
- TradingAgents
- 92k
Forks
- CL4R1T4S
- 9.2k
- TradingAgents
- 18k
Open issues
- CL4R1T4S
- 118
- TradingAgents
- 292
Language
- CL4R1T4S
- -
- TradingAgents
- Python
Adopt for
- CL4R1T4S
- -
- TradingAgents
- Use TradingAgents for projects requiring a sophisticated framework to develop and deploy AI agents in financial market transactions leveraging Large Language Models. Avoid it if you need simpler tools or frameworks thatだ
Persona
- CL4R1T4S
- -
- TradingAgents
- -
Runtime
- CL4R1T4S
- -
- TradingAgents
- -
License
- CL4R1T4S
- AGPL-3.0
- TradingAgents
- Apache-2.0
Last pushed
- CL4R1T4S
- Jun 15, 2026
- TradingAgents
- Jul 5, 2026
Categories
- CL4R1T4S
- AI Agents, LLM Frameworks
- TradingAgents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- CL4R1T4S
- Active (82%)
- TradingAgents
- Very active (96%)
Days since push
- CL4R1T4S
- 26d
- TradingAgents
- 5d
Open issues (now)
- CL4R1T4S
- 118
- TradingAgents
- 292
Owner type
- CL4R1T4S
- User
- TradingAgents
- Organization
Full report
- CL4R1T4S
- Trust report
- TradingAgents
- Trust report
Choose CL4R1T4S if…
- License: CL4R1T4S is AGPL-3.0, TradingAgents is Apache-2.0.
- Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini.
- Leaner open-issue backlog (118).
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 TradingAgents if…
- License: TradingAgents is Apache-2.0, CL4R1T4S is AGPL-3.0.
- Requirements: Min 8 GB RAM; Python environment setup is required.; Deep understanding of finance and LLMs will enhance the utilization of this framework..
- Tags unique to TradingAgents: agent, finance, llm, multiagent.
- When your project involves complex multi-agent interactions specifically in the finance domain, utilizing LLMs to manage trading strategies.
When NOT to use TradingAgents
- If simplicity and ease of deployment are prioritized over advanced AI capabilities; TradingAgents' complexity might introduce unnecessary overhead.
- When the focus is on non-financial applications or when LLM integration isn't necessary, as this framework specializes in financial market trading with a multi-agent approach.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (elder-plinius/CL4R1T4S) · observed Jul 11, 2026
- GitHub forks (elder-plinius/CL4R1T4S) · observed Jul 11, 2026
- Last push (elder-plinius/CL4R1T4S) · observed Jun 15, 2026
- License file (AGPL-3.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (TauricResearch/TradingAgents) · observed Jul 11, 2026
- GitHub forks (TauricResearch/TradingAgents) · observed Jul 11, 2026
- Last push (TauricResearch/TradingAgents) · observed Jul 5, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: CL4R1T4S 45k · TradingAgents 92k (synced Jul 11, 2026).
Common questions
- What is the difference between CL4R1T4S and TradingAgents?
- CL4R1T4S: LEAKED SYSTEM PROMPTS FOR CHATGPT, CLAUDE, GEMINI, GROK, PERPLEXITY, CURSOR, LOVABLE, REPLIT, AND MORE! - AI SYSTEMS TRANSPARENCY FOR ALL! 👐. TradingAgents: Multi-Agents LLM Financial Trading Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose CL4R1T4S over TradingAgents?
- Choose CL4R1T4S over TradingAgents when License: CL4R1T4S is AGPL-3.0, TradingAgents is Apache-2.0; Tags unique to CL4R1T4S: agents, ai, chatgpt, gemini; Leaner open-issue backlog (118).
- When should I choose TradingAgents over CL4R1T4S?
- Choose TradingAgents over CL4R1T4S when License: TradingAgents is Apache-2.0, CL4R1T4S is AGPL-3.0; Requirements: Min 8 GB RAM; Python environment setup is required.; Deep understanding of finance and LLMs will enhance the utilization of this framework.; Tags unique to TradingAgents: agent, finance, llm, multiagent; When your project involves complex multi-agent interactions specifically in the finance domain, utilizing LLMs to manage trading strategies.
- 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 TradingAgents?
- If simplicity and ease of deployment are prioritized over advanced AI capabilities; TradingAgents' complexity might introduce unnecessary overhead. When the focus is on non-financial applications or when LLM integration isn't necessary, as this framework specializes in financial market trading with a multi-agent approach.
- Is CL4R1T4S or TradingAgents more popular on GitHub?
- TradingAgents has more GitHub stars (92,290 vs 45,233). Stars measure visibility, not whether either tool fits your constraints.
- Are CL4R1T4S and TradingAgents open source?
- Yes - both are open-source projects on GitHub (CL4R1T4S: AGPL-3.0, TradingAgents: Apache-2.0).
- Where can I find alternatives to CL4R1T4S or TradingAgents?
- GraphCanon lists graph-backed alternatives at CL4R1T4S alternatives and TradingAgents alternatives (CL4R1T4S markdown twin, TradingAgents 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 TradingAgents?
- CL4R1T4S: Active. TradingAgents: 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 TradingAgents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: CL4R1T4S trust report; TradingAgents trust report.