Issue with Memory Implementation in ReWOO Agent

[frankliu098]

I'm trying to implement both Short and Long term Memory with the ReWOO Agent. Below is the configuration I used in my ReWOO Agent YAML file. However, when I conduct multiple conversations with the agent through Gentopia's interface, the LLM doesn't seem to retain memory as expected.

memory:
  memory_type: chroma
  conversation_threshold: 2      # first-level memory
  reasoning_threshold: 2         # second-level memory
  params:
    index: main
    top_k: 2

Can anyone confirm if the Short and Long term Memory has been correctly implemented for the ReWOO Agent, or if there's something I'm missing in my configuration?

[github-actions]

Greetings! Thanks for your first issue!

[billxbf]

Yes long-term memory is not yet implemented with ReWOO as it is mainly used for target specific tasks instead of lengthy conversations. An openai_memory type agent is the only one with complete implementation on long- and short-term memories.

If you target an app with long conversations, I recommend using openai_memory as a main and rewoo as plugin for specific tasks