hermes - 💡(How to fix) Fix [Feature]: LangFlow low-code to replace all hardcoded flows [1 participants]

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NousResearch/hermes-agent#13711Fetched 2026-04-22 08:04:29
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Problem or Use Case

I'd like to be able to quickly modify my agent’s internal flows in the runtime with Low-Code.

Proposed Solution

Implement LangFlow that manages all the agents’ previously hardcoded internal flows, so they can be changed by a human via UI or with another coding agent at runtime without the need to restart. This is also paving the way for the agent being able to self-improve and modify itself.

Alternatives Considered

No response

Feature Type

Configuration option

Scope

Large (new module or significant refactor)

Contribution

  • I'd like to implement this myself and submit a PR

Debug Report (optional)

Resources

extent analysis

TL;DR

Implementing LangFlow to manage internal flows in the runtime environment is likely the most viable solution to achieve the desired low-code modification capability.

Guidance

  • Review the LangFlow documentation and repository (https://github.com/langflow-ai/langflow) to understand its capabilities and integration requirements.
  • Explore the Hyperagents project (https://github.com/facebookresearch/Hyperagents) for potential insights into agent self-improvement and modification.
  • Consider the scope of the implementation, as it is classified as a large module or significant refactor, and plan accordingly.
  • Evaluate the feasibility of submitting a PR for the implementation, as indicated by the contributor's intention.

Example

No code snippet is provided due to the lack of specific technical details in the issue.

Notes

The solution implies a significant architectural change, and its implementation may require substantial development and testing efforts. The contributor should ensure they have a thorough understanding of the LangFlow and Hyperagents projects before proceeding.

Recommendation

Apply workaround: Implement LangFlow to manage internal flows, as it seems to be the most promising approach to achieve the desired low-code modification capability, and the contributor has expressed interest in implementing it themselves.

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