Comparison
just-chat vs TradingAgents
Verdict
Pick just-chat when tags unique to just-chat: llama, chat, deepseek, agents; pick TradingAgents when requirements: Min 8 GB RAM; Python environment setup is required.; Deep understanding of finance and LLMs will enhance the utilization of this framework..
Markdown twin · just-chat alternatives · TradingAgents alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | just-chat | TradingAgents |
|---|---|---|
| Maintenance | Slowing (230d 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 lockfile As of today · none | No lockfile As of today · none |
Tagline
- just-chat
- Make your LLM agent and chat with it simple and fast!
- TradingAgents
- Multi-Agents LLM Financial Trading Framework
Stars
- just-chat
- 74
- TradingAgents
- 92k
Forks
- just-chat
- 13
- TradingAgents
- 18k
Open issues
- just-chat
- 2
- TradingAgents
- 292
Language
- just-chat
- Python
- TradingAgents
- Python
Adopt for
- just-chat
- -
- 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
- just-chat
- -
- TradingAgents
- -
Runtime
- just-chat
- -
- TradingAgents
- -
License
- just-chat
- Apache-2.0
- TradingAgents
- Apache-2.0
Last pushed
- just-chat
- Nov 22, 2025
- TradingAgents
- Jul 5, 2026
Categories
- just-chat
- AI Agents, LLM Frameworks
- TradingAgents
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- just-chat
- Slowing (36%)
- TradingAgents
- Very active (96%)
Days since push
- just-chat
- 230d
- TradingAgents
- 5d
Open issues (now)
- just-chat
- 2
- TradingAgents
- 292
Full report
- just-chat
- Trust report
- TradingAgents
- Trust report
Choose just-chat if…
- Tags unique to just-chat: llama, chat, deepseek, agents.
- just-chat ships Docker support for self-hosted deployment.
- Leaner open-issue backlog (2).
When NOT to use just-chat
- Last GitHub push was 231 days ago (slowing maintenance, Nov 22, 2025). Validate activity before betting a new project on just-chat.
- 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…
- 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: multiagent, llm, finance, 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 (longevity-genie/just-chat) · observed Jul 11, 2026
- GitHub forks (longevity-genie/just-chat) · observed Jul 11, 2026
- Last push (longevity-genie/just-chat) · observed Nov 22, 2025
- 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: just-chat 74 · TradingAgents 92k (synced Jul 11, 2026).
Common questions
- What is the difference between just-chat and TradingAgents?
- just-chat: Make your LLM agent and chat with it simple and fast!. TradingAgents: Multi-Agents LLM Financial Trading Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose just-chat over TradingAgents?
- Choose just-chat over TradingAgents when Tags unique to just-chat: llama, chat, deepseek, agents; just-chat ships Docker support for self-hosted deployment; Leaner open-issue backlog (2).
- When should I choose TradingAgents over just-chat?
- Choose TradingAgents over just-chat when 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: multiagent, llm, finance, trading; When your project involves complex multi-agent interactions specifically in the finance domain, utilizing LLMs to manage trading strategies.
- When should I avoid just-chat?
- Last GitHub push was 231 days ago (slowing maintenance, Nov 22, 2025). Validate activity before betting a new project on just-chat. 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 just-chat or TradingAgents more popular on GitHub?
- TradingAgents has more GitHub stars (92,290 vs 74). Stars measure visibility, not whether either tool fits your constraints.
- Are just-chat and TradingAgents open source?
- Yes - both are open-source projects on GitHub (just-chat: Apache-2.0, TradingAgents: Apache-2.0).
- Where can I find alternatives to just-chat or TradingAgents?
- GraphCanon lists graph-backed alternatives at just-chat alternatives and TradingAgents alternatives (just-chat 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, just-chat or TradingAgents?
- just-chat: Slowing. 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 just-chat and TradingAgents?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: just-chat trust report; TradingAgents trust report.