Comparison
SAM vs TradingAgents
Verdict
Pick SAM if sAM is an AI assistant for macOS systems with Apple Silicon built in Swift and supports local LLM models, offering installation via Homebrew; pick TradingAgents if tradingAgents is a Python-based framework for developing multi-agent systems for financial trading using LLMs, licensed under Apache-2.0.
Markdown twin · SAM alternatives · TradingAgents alternatives
GraphCanon updated Sep 20, 2026
8views this month
vs
Trust & integrity
| Signal | SAM | TradingAgents |
|---|---|---|
| Maintenance | Very active (1d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- SAM
- An AI assistant for everyone
- TradingAgents
- Multi-Agents LLM Financial Trading Framework
Stars
- SAM
- 130
- TradingAgents
- 107k
Forks
- SAM
- 6
- TradingAgents
- 21k
Open issues
- SAM
- 0
- TradingAgents
- 154
Language
- SAM
- Swift
- TradingAgents
- Python
Adopt for
- SAM
- SAM is an AI assistant for macOS systems with Apple Silicon built in Swift and supports local LLM models, offering installation via Homebrew.
- TradingAgents
- TradingAgents is a Python-based framework for developing multi-agent systems for financial trading using LLMs, licensed under Apache-2.0.
Persona
- SAM
- -
- TradingAgents
- -
Runtime
- SAM
- -
- TradingAgents
- -
License
- SAM
- GPL-3.0
- TradingAgents
- Apache-2.0
Last pushed
- SAM
- Sep 19, 2026
- TradingAgents
- Sep 18, 2026
Categories
- SAM
- AI Agents, LLM Frameworks
- TradingAgents
- AI Agents, LLM Frameworks
Trust and health
Days since push
- SAM
- 1d
- TradingAgents
- 0d
Open issues (now)
- SAM
- 0
- TradingAgents
- 154
Stars delta
- SAM
- 0 (30d)
- TradingAgents
- +9.0k (30d)
Open issues delta
- SAM
- 0 (30d)
- TradingAgents
- -210 (30d)
OSV dependency advisories
- SAM
- No lockfile (source not queried)
- TradingAgents
- No published findings from this source as of 2026-09-18
Full report
- SAM
- Trust report
- TradingAgents
- Trust report
Choose SAM if…
- SAM is primarily Swift; TradingAgents is Python.
- License: SAM is GPL-3.0, TradingAgents is Apache-2.0.
- Requirements: Min 4 GB RAM; For optimal use with local AI models, a system with 16GB+ RAM is recommended.; The system should be equipped with macOS 14.0 (Sonoma) or later..
- Tags unique to SAM: ai-assistants, apple-silicon, open-source.
- You should use SAM when you are working on a macOS system equipped with Apple Silicon as it is optimized for such hardware.
When NOT to use SAM
- Avoid using SAM if you are developing on an Intel-based Mac or any system running a different operating system as it is specifically designed for macOS and Apple Silicon.
- Do not opt for SAM if your project requires low memory consumption, because supporting local AI models typically demands high RAM (16GB+) and significant disk space.
Choose TradingAgents if…
- TradingAgents is primarily Python; SAM is Swift.
- License: TradingAgents is Apache-2.0, SAM is GPL-3.0.
- Tags unique to TradingAgents: agent, finance, llm, multiagent.
- TradingAgents ships Docker support for self-hosted deployment.
- Use TradingAgents when you need a framework that supports the development of multi-agent systems specifically for financial trading scenarios.
When NOT to use TradingAgents
- Avoid TradingAgents if your project does not involve financial trading or if you do not require a multi-agent system.
- Do not use TradingAgents if you are looking for a framework that does not support local models with Ollama, as this is a specific feature of TradingAgents.
- If you are not comfortable with Docker or prefer not to use containerization for your development environment, TradingAgents might not be the best choice.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (SyntheticAutonomicMind/SAM) · observed Sep 20, 2026
- GitHub forks (SyntheticAutonomicMind/SAM) · observed Sep 20, 2026
- Last push (SyntheticAutonomicMind/SAM) · observed Sep 19, 2026
- License file (GPL-3.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (TauricResearch/TradingAgents) · observed Sep 20, 2026
- GitHub forks (TauricResearch/TradingAgents) · observed Sep 20, 2026
- Last push (TauricResearch/TradingAgents) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: SAM 130 · TradingAgents 107k (synced Sep 20, 2026).
Common questions
- What is the difference between SAM and TradingAgents?
- SAM: An AI assistant for everyone. TradingAgents: Multi-Agents LLM Financial Trading Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose SAM over TradingAgents?
- Choose SAM over TradingAgents when SAM is primarily Swift; TradingAgents is Python; License: SAM is GPL-3.0, TradingAgents is Apache-2.0; Requirements: Min 4 GB RAM; For optimal use with local AI models, a system with 16GB+ RAM is recommended.; The system should be equipped with macOS 14.0 (Sonoma) or later.; Tags unique to SAM: ai-assistants, apple-silicon, open-source; You should use SAM when you are working on a macOS system equipped with Apple Silicon as it is optimized for such hardware.
- When should I choose TradingAgents over SAM?
- Choose TradingAgents over SAM when TradingAgents is primarily Python; SAM is Swift; License: TradingAgents is Apache-2.0, SAM is GPL-3.0; Tags unique to TradingAgents: agent, finance, llm, multiagent; TradingAgents ships Docker support for self-hosted deployment; Use TradingAgents when you need a framework that supports the development of multi-agent systems specifically for financial trading scenarios.
- When should I avoid SAM?
- Avoid using SAM if you are developing on an Intel-based Mac or any system running a different operating system as it is specifically designed for macOS and Apple Silicon. Do not opt for SAM if your project requires low memory consumption, because supporting local AI models typically demands high RAM (16GB+) and significant disk space.
- When should I avoid TradingAgents?
- Avoid TradingAgents if your project does not involve financial trading or if you do not require a multi-agent system. Do not use TradingAgents if you are looking for a framework that does not support local models with Ollama, as this is a specific feature of TradingAgents. If you are not comfortable with Docker or prefer not to use containerization for your development environment, TradingAgents might not be the best choice.
- Is SAM or TradingAgents more popular on GitHub?
- TradingAgents has more GitHub stars (107,378 vs 130). Stars measure visibility, not whether either tool fits your constraints.
- Are SAM and TradingAgents open source?
- Yes - both are open-source projects on GitHub (SAM: GPL-3.0, TradingAgents: Apache-2.0).
- Where can I find alternatives to SAM or TradingAgents?
- GraphCanon lists graph-backed alternatives at SAM alternatives and TradingAgents alternatives (SAM 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, SAM or TradingAgents?
- SAM: Very 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 SAM and TradingAgents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: SAM trust report; TradingAgents trust report.