Enterprise AI App Developer Wanted

Seeking Development Partnership: Enterprise-Grade AI Agent Application
Project Overview
We are looking for a long-term development partner to create an enterprise-grade AI agent application based on open-source frameworks. This project aims to build a scalable, multi-agent system with advanced RAG capabilities and automation features for enterprise applications.
Technical Requirements
Based on Open-Source Technologies
We're looking to leverage established open-source projects such as:

OpenManus (https://github.com/mannaandpoem/OpenManus)
Microsoft AutoGen (https://github.com/microsoft/autogen)
CrewAI (https://github.com/joaomdmoura/crewAI)
n8n (https://github.com/n8n-io/n8n)

Core Features Required

Hierarchical RAG Knowledge Base

Implement a tiered, permission-based Retrieval-Augmented Generation system
Support for at least 4-5 levels of information hierarchy
Fine-grained access control for different organizational roles
Seamless integration with existing enterprise data sources


Multi-Agent Collaboration Framework

Enable specialized agents with different expertise to work together
Structured agent communication protocols
Role-based agent definition with customizable capabilities
Task delegation and orchestration between agents


Process Visualization

Real-time visualization of agent collaboration process
Interactive dashboard showing agent interactions and decision points
Transparent execution flow visible to non-technical users
Visual representation of complex workflows


System Automation Capabilities

Automate form filling, login procedures, and data entry
Web browser automation for enterprise applications
API integration with existing enterprise systems
Workflow automation across multiple platforms


Streaming Output

Implement streaming output for real-time visibility into agent thinking
Step-by-step process tracking for debugging purposes
Detailed logging of agent interactions and decisions
Ability to pause, review, and modify agent processes



Project Phases and Deliverables
We envision a phased implementation approach:

Phase 1 (Data Layer & Knowledge Base)

Establish hierarchical RAG architecture
Data integration from enterprise sources
Basic query capabilities demonstration


Phase 2 (Conversation & Search)

Enhanced search functionality
Agent role definitions and basic collaboration
Planning capabilities implementation


Phase 3 (Multi-Agent Orchestration)

Full multi-agent collaboration system
Visualization of agent interactions
Streaming output implementation


Phase 4 (Tool Usage & Automation)

External tool integration
System automation capabilities
End-to-end process automation



Partner Requirements
We're seeking a development partner with:

Proven experience with LLM agent frameworks (required)
Demonstrable previous work using the mentioned open-source technologies
Enterprise-level software architecture expertise
Understanding of RAG architectures and vector databases
Experience with agent orchestration and multi-agent systems
Strong background in process automation and visualization
Ability to deliver tangible results within 4-8 weeks for initial phases

Long-Term Collaboration
This project represents the beginning of a long-term partnership. We envision ongoing development, refinement, and expansion of the platform for various enterprise use cases.
Please include in your response:

Examples of similar systems you've built
Your experience with the mentioned open-source frameworks
Proposed implementation timeline
Team composition for this project
Your approach to making complex agent interactions visible to non-technical users

We look forward to partnering with a team that has practical experience and can deliver demonstrable results rather than just theoretical knowledge.