From 5db93f5249539dabbc07bad60da69097fd692b77 Mon Sep 17 00:00:00 2001
From: Kye <kye@apacmediasolutions.com>
Date: Fri, 30 Jun 2023 18:31:14 -0400
Subject: [PATCH] swarms todo

---
 IDEAS.MD              |  5 +++++
 README.md             |  2 --
 swarms/utils/utils.py | 34 ++++++++++++++++++++++++++++++++++
 3 files changed, 39 insertions(+), 2 deletions(-)

diff --git a/IDEAS.MD b/IDEAS.MD
index 7661f868..284e8ba9 100644
--- a/IDEAS.MD
+++ b/IDEAS.MD
@@ -84,3 +84,8 @@ In the context of swarm LLMs, one could consider an **Omni-Vector Embedding Data
 
 
 
+
+# Repos
+[🐪CAMEL🐪](https://twitter.com/hwchase17/status/1645834030519296000)
+[MultiAgent](https://github.com/rumpfmax/Multi-GPT/blob/master/multigpt/multi_agent_manager.py)
+[AutoGPT](https://github.com/Significant-Gravitas/Auto-GPT)
\ No newline at end of file
diff --git a/README.md b/README.md
index 08a39492..e60add41 100644
--- a/README.md
+++ b/README.md
@@ -134,8 +134,6 @@ Here is the detailed roadmap of our priorities and planned features for the near
 
 5. **Task Completion and Evaluation Logic**: Include task completion logic with meta prompting, and evaluate task completion on a scale from 0.0 to 1.0.
 
-6. **Baby AGI Setup**: Set up Baby AGI with the AutoGPT instance as a tool for enhanced capabilities.
-
 7. **Ocean Integration**: Use the [Ocean](https://github.com/kyegomez/Ocean) vector database as the main embedding database for all the agents, both boss and worker.
 
 8. **Improved Communication**: Develop a universal vector database that is only used when a task is completed in this format `[TASK][COMPLETED]`.
diff --git a/swarms/utils/utils.py b/swarms/utils/utils.py
index 722169e3..10f40cc4 100644
--- a/swarms/utils/utils.py
+++ b/swarms/utils/utils.py
@@ -530,3 +530,37 @@ def get_token_ids_for_choose_model(model_name):
     res = list(set(res))
     return res
 ################# END
+
+
+
+
+
+################# MultiAgent
+
+from autogpt.agent import Agent
+from swarms.agents.swarms import worker_node
+
+class MultiAgent(worker_node):
+
+    def __init__(
+            self,
+            ai_name,
+            memory,
+            full_message_history,
+            prompt,
+            user_input,
+            agent_id
+    ):
+        super().__init__(
+            ai_name=ai_name,
+            memory=memory,
+            full_message_history=full_message_history,
+            next_action_count=0,
+            prompt=prompt,
+            user_input=user_input,
+        )
+        self.agent_id = agent_id
+        self.auditory_buffer = []  # contains the non processed parts of the conversation
+
+    def receive_message(self, speaker, message):
+        self.auditory_buffer.append((speaker.ai_name, message))
\ No newline at end of file