Introduction to Synara
The Prompt-as-Code architecture for enterprise AI Agents.
Synara Framework is a robust architecture for orchestrating autonomous Multi-Agent systems using a strict Prompt-as-Code philosophy. This framework controls behavior, optimizes context windows, and raises the reliability of AI Agents throughout the software development lifecycle by decoupling agent intelligence from rigid execution logic.
Core Principles
1Prompt-as-Code
Agent intelligence, behavior, and roles must be defined explicitly in Markdown files with YAML frontmatter, completely decoupled from Python execution code.
2Context Engineering
Deliver exactly what the agent needs through a Context Pack (intentional context compression), rather than stuffing the entire codebase.
3No Vibes Allowed
Force the AI to perform structured, step-by-step planning and reasoning before writing any code. Assumptions are blocked.
4Anti-Slop Output
Constraint the output format via an Output Contract, automatically rejecting wordy or redundant responses.
Installation
Synara provides a standalone CLI (synara-ai) that should be installed per-project within a virtual environment.
# Requires Python >= 3.10
cd my-project
python3 -m venv .venv
source .venv/bin/activate
pip install synara-aiRecommended for isolated project environments.
Upgrading
To upgrade an existing synara-ai installation to the latest version within your project's virtual environment:
cd my-project
source .venv/bin/activate
pip install --upgrade synara-ai
# Update local templates to match the new registry
synara-ai update