A protocol for autonomous LLM agents to navigate complex toolsets via semantic landmarks.
Project description
🌌 Elemm (Element Mapping) v2
Autonomous. Efficient. Reliable.
Elemm is a next-generation protocol for AI agents, designed to bridge the gap between static tool definitions and autonomous complex reasoning. It optimizes token consumption, reduces execution latency, and provides a robust self-healing framework for agentic workflows.
🚀 Key Features
- Semantic Landmarks: Group tools into logical namespaces for better discovery.
- High-Performance Sequencing: Execute multi-step chains in a single LLM turn.
- SmartRepair Engine: Provide agents with actionable remedies for protocol errors.
- Variable Piping: Seamless data flow between tools with zero-latency resolution.
- Python-First Workflow: Define tools via decorators and Pydantic models with automatic schema generation.
- Benchmark Proven: Up to 90% token savings and 70% fewer turns compared to standard MCP.
📚 Documentation
- Getting Started: Install and run your first landmark.
- Developer Guide: Build your own tools with decorators and Pydantic.
- Architecture Overview: Deep dive into the Elemm philosophy.
- Protocol Specification: Technical details for implementers.
- Benchmarking Results: See how Elemm crushes standard MCP.
🏎️ Quick Start (The Easy Way)
- Install:
pip install elemm - Connect: Add
mcp.pyto your Claude Desktop config:
"elemm": {
"command": "python3",
"args": ["/path/to/elemm/examples/mcp.py", "http://localhost:8000"]
}
Note: Make sure your Elemm-powered site is running on port 8000.
⚖️ License
Copyright (C) 2026 Marc Stöcker. GPLv3 License. See LICENSE for details.
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