Synthora

Open-source framework for LLM-driven AI research.

PRICING STARTS

$

0

/ Month

INDUSTRY

Technology

PRICING TYPE

Free

ABOUT

Synthora is a lightweight and extensible open-source framework designed for developing Large Language Model (LLM)-driven agents and conducting Autonomous Language Model (ALM) research. It provides essential components to build, test, and evaluate agents, aiming to simplify the assembly of an agent with a single configuration, thereby minimizing the effort in building, tuning, and sharing agents.

USE CASES

Autonomous Agents: Develop agents capable of independent decision-making and task execution, suitable for applications requiring minimal human intervention.

Research and Development: Facilitate ALM research by providing a flexible platform to experiment with various agent architectures and workflows.

Data Generation: Utilize Synthora's workflow system to generate data, including Supervised Fine-Tuning (SFT) data using methods like Chain of Thought (CoT) and Tree of Thought (ToT).

CORE FEATURES

Agent Framework: Synthora offers a comprehensive agent framework supporting various predefined agent types, such as CoT, ToT, and ReAct. These agents can operate independently or collaboratively in multi-agent systems.

Modular Design: The framework's modularity allows for seamless integration of tools and supports both synchronous and asynchronous workflows, facilitating rapid prototyping and customization.

Workflow System: Synthora's powerful workflow system enables the orchestration of agents to solve various problems, allowing users to define their workflows with a high level of flexibility.

Tool Integration: Agents can be equipped with tools to enhance their capabilities, and Synthora provides multiple methods to convert Python functions or classes into tools that agents can invoke.

CATEGORY

AI Agents Framework

USEFUL FOR

AI Engineers