Agent Orchestrator Builder - Create your custom agents
Multi-agent architecture, RAG, MCP/SDK tools
🤖 Intelligent Agent Orchestration (RL-Driven)
It doesn't just execute tasks, it learns to optimize them.
- Dynamic Tool Selection: Use of reinforcement learning (RL) algorithms to automatically choose the most suitable MCP servers
- Continuous Learning: An integrated reward system improves resolution strategies over time
- Adaptive Strategies: Implementation of smart selectors (Epsilon-Greedy) to balance exploration and exploitation
🔍 Semantic Capability Search Engine (MCP Catalog)
Instantly find the perfect tool for your agent with our advanced search engine.
- Vector Search (RAG): High-performance FAISS indexing of the MCP catalog for fast and accurate search
- Cognitive Enrichment: LLM module that reformulates your requests to ensure the agent finds the right connectors
- Automatic Update: Synchronization with the official registry of MCP servers on GitHub
🎛️ Unified Control Interface (Gradio UI)
A modern graphical interface to configure and supervise your agents without touching code.
- Simplified Configuration: Manage your API keys, choose your LLM models (OpenAI, Ollama) in a few clicks
- Real-Time Monitoring: Track task execution and visualize interactions between orchestrator and MCP servers
- Workspace Management: Automatic creation and isolation of environments for each project
⚙️ Modular & Extensible Architecture
Built on the Model Context Protocol (MCP) standard, designed to integrate with everything.
Essential Servers Included:
- Filesystem: Secure Read/Write on local disk
- Local RAG: Indexing and querying of your own documents
- Dev Tools: Test execution, command line and Web access
Total Interoperability: Connect any MCP server to extend capabilities (Git, Databases, third-party APIs)
🔄 AI Model Flexibility
Hybrid Support: Use the power of the Cloud (GPT-4o, GPT-5) for complex tasks or switch to local (Ollama) for privacy and cost reduction.
Creation Workflow
- Ideation workshop → guided specification
- Code generation + tests (pytest, linters)
- Local or on-prem deployment