Theres no meta data in the memories

[philliplastcall]

⚠️ Search for existing issues first ⚠️

• I have searched the existing issues, and there is no existing issue for my problem

Which Operating System are you using?

Linux

Which version of Auto-GPT are you using?

Stable (branch)

GPT-3 or GPT-4?

GPT-3.5

Steps to reproduce 🕹

def add(self, data):
vector = get_ada_embedding(data)
### # no metadata here. We may wish to change that long term.
self.index.upsert([(str(self.vec_num), vector, {"raw_text": data})])
_text = f"Inserting data into memory at index: {self.vec_num}:\n data: {data}"
self.vec_num += 1
return _text

Current behavior 😯

it gets stuck in loops because it thinks failed repeated attempts are relevant and therefore should be tried again and again

Expected behavior 🤔

know he difference between good and evil...hell i'd take the difference between pass ad fail

Your prompt 📝

# Paste your prompt here

read important_info.txt

Your Logs 📒

it rolls down alone or in pairs, everyone wants a 

[Boostrix]

it gets stuck in loops because it thinks failed repeated attempts are relevant and therefore should be tried again and again
know he difference between good and evil...hell i'd take the difference between pass ad fail

for that to work, an outer/parent agent would need to be able to look at the objective in question and the state (log file) and output (files) of the sub-agent. I started doing some early experiments related to this: #3593 (comment)

The idea here would be split up objectives into "atomic" steps, whose completion status is logged to disk - so that the agent/task manager can observe progress (or lack thereof, to keep the loop running).

I am hoping, that in conjunction with hashing agent state, this could also be used to detect redundant looping, as per: #3668

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[github-actions]

This issue was closed automatically because it has been stale for 10 days with no activity.