Introduction to Synara

The Prompt-as-Code architecture for enterprise AI Agents.

Status: Active & Maintained. Requires Python 3.10+

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-ai

Recommended for isolated project environments.

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