MARFT

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MARFT provides an integrated framework to define, train, and deploy multiple collaborating AI agents via reinforcement fine-tuning. It offers role management, memory modules, environment simulation, and evaluation pipelines. Developers and researchers can orchestrate multi-agent tasks, automate workflows, and benchmark performance with ease.
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MARFT

MARFT

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MARFT
MARFT provides an integrated framework to define, train, and deploy multiple collaborating AI agents via reinforcement fine-tuning. It offers role management, memory modules, environment simulation, and evaluation pipelines. Developers and researchers can orchestrate multi-agent tasks, automate workflows, and benchmark performance with ease.
Added on:
Social & Email:
Platform:
May 15 2025
--
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What is MARFT?

MARFT is a Python-based LLMs, enabling reproducible experiments and rapid prototyping of collaborative AI systems.

Who will use MARFT?

  • Machine learning engineers
  • AI researchers
  • Software developers
  • R&D teams
  • Product managers

How to use the MARFT?

  • Step1: Clone the repository or pip install marft.
  • Step2: Define agent roles and memory schema in a YAML or Python file.
  • Step3: Configure environment simulation and reward functions.
  • Step4: Run marft train to launch multi-agent RL fine-tuning.
  • Step5: Monitor metrics and adjust hyperparameters as needed.
  • Step6: Evaluate agents with marft eval and export trained models.
  • Step7: Deploy agents via marft deploy or integrate into your application.

Platform

  • mac
  • windows
  • linux

MARFT's Core Features & Benefits

The Core Features

  • Multi-agent orchestration API
  • Reinforcement fine-tuning pipelines
  • Role and memory management
  • Environment simulation toolkit
  • Customizable reward functions
  • Built-in evaluation metrics

The Benefits

  • Accelerates prototyping of collaborative AI
  • Ensures reproducible RL experiments
  • Modular and extensible architecture
  • Seamless integration with major LLMs
  • Comprehensive workflow automation

MARFT's Main Use Cases & Applications

  • Virtual customer support with multiple specialized agents
  • Automated negotiation and decision-making simulations
  • Research prototypes for multi-agent coordination
  • Task automation in business workflows
  • Complex problem solving with role-based agents

FAQs of MARFT

MARFT Company Information

MARFT Reviews

5/5
Do You Recommend MARFT? Leave a Comment Below!

MARFT's Main Competitors and alternatives?

  • Ray RLlib
  • LangChain Agents
  • OpenAI Multi-Agent Toolkit
  • Stable Baselines3
  • RLlib MultiAgent

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