Comparison
screenpipe vs TradingAgents
Verdict
Pick screenpipe when screenpipe is primarily Rust; TradingAgents is Python; pick TradingAgents when tradingAgents is primarily Python; screenpipe is Rust.
Markdown twin · screenpipe alternatives · TradingAgents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | screenpipe | TradingAgents |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Very active (5d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No lockfile As of today · none |
Tagline
- screenpipe
- YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps
- TradingAgents
- Multi-Agents LLM Financial Trading Framework
Stars
- screenpipe
- 20k
- TradingAgents
- 92k
Forks
- screenpipe
- 1.9k
- TradingAgents
- 18k
Open issues
- screenpipe
- 133
- TradingAgents
- 292
Language
- screenpipe
- Rust
- TradingAgents
- Python
Adopt for
- screenpipe
- -
- 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
- screenpipe
- -
- TradingAgents
- -
Runtime
- screenpipe
- -
- TradingAgents
- -
License
- screenpipe
- Other
- TradingAgents
- Apache-2.0
Last pushed
- screenpipe
- Jul 11, 2026
- TradingAgents
- Jul 5, 2026
Categories
- screenpipe
- AI Agents, LLM Frameworks, Speech & Audio
- TradingAgents
- AI Agents, LLM Frameworks
Trust and health
Days since push
- screenpipe
- 0d
- TradingAgents
- 5d
Open issues (now)
- screenpipe
- 133
- TradingAgents
- 292
Security scan
- screenpipe
- No MCP manifest
- TradingAgents
- No lockfile
Full report
- screenpipe
- Trust report
- TradingAgents
- Trust report
Choose screenpipe if…
- screenpipe is primarily Rust; TradingAgents is Python.
- License: screenpipe is Other, TradingAgents is Apache-2.0.
- Tags unique to screenpipe: agents, agi, ai, ai-memory.
- Also covers Speech & Audio.
When NOT to use screenpipe
- 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; screenpipe is Rust.
- License: TradingAgents is Apache-2.0, screenpipe is Other.
- 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 (screenpipe/screenpipe) · observed Jul 11, 2026
- GitHub forks (screenpipe/screenpipe) · observed Jul 11, 2026
- Last push (screenpipe/screenpipe) · observed Jul 11, 2026
- License file (Other) · 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: screenpipe 20k · TradingAgents 92k (synced Jul 11, 2026).
Common questions
- What is the difference between screenpipe and TradingAgents?
- screenpipe: YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps. TradingAgents: Multi-Agents LLM Financial Trading Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose screenpipe over TradingAgents?
- Choose screenpipe over TradingAgents when screenpipe is primarily Rust; TradingAgents is Python; License: screenpipe is Other, TradingAgents is Apache-2.0; Tags unique to screenpipe: agents, agi, ai, ai-memory; Also covers Speech & Audio.
- When should I choose TradingAgents over screenpipe?
- Choose TradingAgents over screenpipe when TradingAgents is primarily Python; screenpipe is Rust; License: TradingAgents is Apache-2.0, screenpipe is Other; 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 screenpipe?
- 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 screenpipe or TradingAgents more popular on GitHub?
- TradingAgents has more GitHub stars (92,290 vs 19,760). Stars measure visibility, not whether either tool fits your constraints.
- Are screenpipe and TradingAgents open source?
- Yes - both are open-source projects on GitHub (screenpipe: Other, TradingAgents: Apache-2.0).
- Where can I find alternatives to screenpipe or TradingAgents?
- GraphCanon lists graph-backed alternatives at screenpipe alternatives and TradingAgents alternatives (screenpipe 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, screenpipe or TradingAgents?
- screenpipe: 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 screenpipe and TradingAgents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: screenpipe trust report; TradingAgents trust report.