Semantic Agent Communication Protocol (SACP)

SACP is a formal specification and practical messaging protocol for enabling modular, multi-agent systems powered by LLMs or other autonomous reasoning components. It defines a simple, strict, and extensible way for agents to:

• Interpret semantic goals
• Share structured execution plans
• Dynamically spawn new agents when capability gaps are found
• Exchange compact, machine-readable messages with predictable semantics

Key Features

• Structured [verb, tool, params] task planning format
• Support for dynamic agent discovery and embedding-based capability matching
• Built-in message lifecycle control, traceability, and error handling
• Designed to reduce verbosity and maximize agent chaining
• Model-agnostic (usable with GPT, Claude, Mistral, etc.)

Example Use Cases

• Travel planning (e.g., hotel search, visa prediction)
• Document summarization and analysis
• Multi-step code generation workflows
• AI-based research and knowledge retrieval agents

Repository Structure

• specification.md: Full SACP protocol definition
• whitepaper.md: Introductory overview and architectural rationale
• examples/: Sample SACP messages and agent behaviors
• templates/: LLM prompt templates for compliant agent creation
• schema/: JSON schemas for validating message structure

License

MIT License (see LICENSE file).

Status

SACP is currently in draft version v0.1. Contributions, critiques, and integrations are welcome via GitHub Issues.

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For more, see specification.md or the white paper.