Planning to apply a Multi-agent with supervisor architecture where one manager agents uses Tavily-search agent, Youtube-search agent, Wikipedia-search agent, arXiv-search agent, and document generation agent as team members.
Expect time reduction, token consumption minimization, and result improvement through this.
The code applying this architecture can be found in the AgentTeam branch. #3
However, it is currently very unstable and the code is not clean.
Initial development and prompt creation for each search engine agent completed
Applying to the agent stage of the existing workflow.
Currently, each agent is implemented separately in each file with LangGraph.
Previously, LLM summarized the results of each search engine separately, but now testing results by integrating all search results and passing them to LLM.
Future Plans
[ ] Clarify and advance the overall code and design.
[ ] Integrate the multi-agent architecture into the existing agent workflow.
[ ] Optimize the collaboration method between the manager agent and team member agents.
[ ] Optimize the communication method between the manager agent and team member agents.
[ ] Clarify and advance the roles and responsibilities of each agent.
[ ] Compare and test the final document results with the previous version.
Overview
Current Situation
Future Plans
[ ] Clarify and advance the overall code and design.
[ ] Integrate the multi-agent architecture into the existing agent workflow.
[ ] Optimize the collaboration method between the manager agent and team member agents.
[ ] Optimize the communication method between the manager agent and team member agents.
[ ] Clarify and advance the roles and responsibilities of each agent.
[ ] Compare and test the final document results with the previous version.