--- title: "just-chat vs TradingAgents" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/longevity-genie-just-chat-vs-tauricresearch-tradingagents" tools: ["longevity-genie-just-chat", "tauricresearch-tradingagents"] --- # just-chat vs TradingAgents *GraphCanon updated Jul 12, 2026* ## Verdict Pick just-chat if just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions; pick TradingAgents if 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. [just-chat](https://github.com/longevity-genie/just-chat) reports 74 GitHub stars, 13 forks, and 2 open issues, last pushed Nov 22, 2025. [TradingAgents](https://arxiv.org/pdf/2412.20138) has 92k stars, 18k forks, and 292 open issues, last pushed Jul 5, 2026. Figures are from public GitHub metadata via [just-chat's repository](https://github.com/longevity-genie/just-chat) and [TradingAgents's repository](https://github.com/TauricResearch/TradingAgents). | | [just-chat](/tools/longevity-genie-just-chat.md) | [TradingAgents](/tools/tauricresearch-tradingagents.md) | | --- | --- | --- | | Tagline | Make your LLM agent and chat with it simple and fast! | Multi-Agents LLM Financial Trading Framework | | Stars | 74 | 92,290 | | Forks | 13 | 17,836 | | Open issues | 2 | 292 | | Language | Python | Python | | Adopt for | just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Developer Tools | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [just-chat](/tools/longevity-genie-just-chat.md) | [TradingAgents](/tools/tauricresearch-tradingagents.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 230d | 5d | | Open issues (now) | 2 | 292 | | Full report | [trust report](/tools/longevity-genie-just-chat/trust.md) | [trust report](/tools/tauricresearch-tradingagents/trust.md) | ## Decision facts: just-chat - **Adopt for:** just-chat is a Python framework for setting up an LLM-based AI agent using Docker or Podman for quick chat interactions. It supports customization and provides detailed installation instructions. ## Decision facts: TradingAgents - **Requirements:** Min 8 GB RAM; Python environment setup is required.; Deep understanding of finance and LLMs will enhance the utilization of this framework. - **Adopt for:** 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 ## Choose when ### Choose just-chat if… - Tags unique to just-chat: chatbot, docker composition, llm-agent, podman support. - Also covers Developer Tools. - just-chat ships Docker support for self-hosted deployment. - When you need to quickly set up and interact with an LLM-based AI agent without extensive configuration. ### 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: agent, finance, llm, multiagent. - Also covers LLM Frameworks. - When your project involves complex multi-agent interactions specifically in the finance domain, utilizing LLMs to manage trading strategies. ## When NOT to use just-chat - If your workflow does not support Docker or Podman, as these are the only supported deployment environments. - When you are using Ubuntu 22.04 with the default Podman version (v3), which requires manual installation since it is not fully compatible with just-chat's setup. ## 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. ## 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: chatbot, docker composition, llm-agent, podman support; Also covers Developer Tools; just-chat ships Docker support for self-hosted deployment; When you need to quickly set up and interact with an LLM-based AI agent without extensive configuration. ### 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: agent, finance, llm, multiagent; Also covers LLM Frameworks; 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? If your workflow does not support Docker or Podman, as these are the only supported deployment environments. When you are using Ubuntu 22.04 with the default Podman version (v3), which requires manual installation since it is not fully compatible with just-chat's setup. ### 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](/tools/longevity-genie-just-chat/alternatives) and [TradingAgents alternatives](/tools/tauricresearch-tradingagents/alternatives) ([just-chat markdown twin](/tools/longevity-genie-just-chat/alternatives.md), [TradingAgents markdown twin](/tools/tauricresearch-tradingagents/alternatives.md)), 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](/compare/longevity-genie-just-chat-vs-tauricresearch-tradingagents.md) 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](/tools/longevity-genie-just-chat/trust); [TradingAgents trust report](/tools/tauricresearch-tradingagents/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=longevity-genie-just-chat`](/api/graphcanon/graph?tool=longevity-genie-just-chat) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_