Comparison
skyagi vs TradingAgents
Verdict
Pick skyagi when skyagi is primarily TypeScript; TradingAgents is Python; pick TradingAgents when tradingAgents is primarily Python; skyagi is TypeScript.
Markdown twin · skyagi alternatives · TradingAgents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | skyagi | TradingAgents |
|---|---|---|
| Maintenance | Dormant (1023d 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 criticals As of 1d · osv@v1 | No lockfile As of 1d · none |
Tagline
- skyagi
- SkyAGI: Emerging human-behavior simulation capability in LLM
- TradingAgents
- Multi-Agents LLM Financial Trading Framework
Stars
- skyagi
- 777
- TradingAgents
- 92k
Forks
- skyagi
- 56
- TradingAgents
- 18k
Open issues
- skyagi
- 41
- TradingAgents
- 292
Language
- skyagi
- TypeScript
- TradingAgents
- Python
Adopt for
- skyagi
- -
- 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
- skyagi
- -
- TradingAgents
- -
Runtime
- skyagi
- -
- TradingAgents
- -
License
- skyagi
- Apache-2.0
- TradingAgents
- Apache-2.0
Last pushed
- skyagi
- Sep 21, 2023
- TradingAgents
- Jul 5, 2026
Categories
- skyagi
- AI Agents, LLM Frameworks
- TradingAgents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- skyagi
- Dormant (18%)
- TradingAgents
- Very active (96%)
Days since push
- skyagi
- 1023d
- TradingAgents
- 5d
Open issues (now)
- skyagi
- 41
- TradingAgents
- 292
Owner type
- skyagi
- User
- TradingAgents
- Organization
Security scan
- skyagi
- No criticals
- TradingAgents
- No lockfile
Full report
- skyagi
- Trust report
- TradingAgents
- Trust report
Choose skyagi if…
- skyagi is primarily TypeScript; TradingAgents is Python.
- Tags unique to skyagi: ai-agent, aigc, langchain, language-model.
- Leaner open-issue backlog (41).
When NOT to use skyagi
- Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi.
- 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…
- TradingAgents is primarily Python; skyagi is TypeScript.
- 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, multiagent, trading.
- 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 (litanlitudan/skyagi) · observed Jul 11, 2026
- GitHub forks (litanlitudan/skyagi) · observed Jul 11, 2026
- Last push (litanlitudan/skyagi) · observed Sep 21, 2023
- License file (Apache-2.0) · 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: skyagi 777 · TradingAgents 92k (synced Jul 11, 2026).
Common questions
- What is the difference between skyagi and TradingAgents?
- skyagi: SkyAGI: Emerging human-behavior simulation capability in LLM. TradingAgents: Multi-Agents LLM Financial Trading Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose skyagi over TradingAgents?
- Choose skyagi over TradingAgents when skyagi is primarily TypeScript; TradingAgents is Python; Tags unique to skyagi: ai-agent, aigc, langchain, language-model; Leaner open-issue backlog (41).
- When should I choose TradingAgents over skyagi?
- Choose TradingAgents over skyagi when TradingAgents is primarily Python; skyagi is TypeScript; 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, multiagent, trading; When your project involves complex multi-agent interactions specifically in the finance domain, utilizing LLMs to manage trading strategies.
- When should I avoid skyagi?
- Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. 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 skyagi or TradingAgents more popular on GitHub?
- TradingAgents has more GitHub stars (92,290 vs 777). Stars measure visibility, not whether either tool fits your constraints.
- Are skyagi and TradingAgents open source?
- Yes - both are open-source projects on GitHub (skyagi: Apache-2.0, TradingAgents: Apache-2.0).
- Where can I find alternatives to skyagi or TradingAgents?
- GraphCanon lists graph-backed alternatives at skyagi alternatives and TradingAgents alternatives (skyagi 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, skyagi or TradingAgents?
- skyagi: Dormant. 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 skyagi and TradingAgents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: skyagi trust report; TradingAgents trust report.