Best Multi-agent Architecture AI Tools & Models - Premium Multi-agent Architecture News

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Multi-Agent Systems Do Not Always Improve Efficiency, Google and MIT Research Reveals the Truth

Research indicates that multi-agent systems exhibit significant performance fluctuations, with task type being a key factor. Centralized architectures perform better in parallel tasks.....

9.1k 1 hours ago

Microsoft Launches Agent Lightning: A New AI Framework to Help Train Large Language Models with Reinforcement Learning

Microsoft launches the open-source framework Agent Lightning, which uses reinforcement learning to optimize multi-agent systems. The framework does not require changes to existing architectures and can convert real agent behaviors into reinforcement learning transitions, improving the performance of strategies in large-scale language models. It models agents as partially observable Markov decision processes, using the current input as an observation, model calls as actions, and introducing a reward mechanism.

16k 2 days ago

Microsoft Launches Agent Lightning: A New AI Framework to Help Train Large Language Models with Reinforcement Learning

Tongyi Lab Launches the New Generation Agent Development Framework AgentScope 1.0

AgentScope 1.0, a new multi-agent dev framework, simplifies agent development with full lifecycle support and a three-layer architecture for enhanced security and efficiency.....

11.5k 1 days ago

Tongyi Lab Launches the New Generation Agent Development Framework AgentScope 1.0

Microsoft Releases Agent Lightning Reinforcement Learning Framework, Claims It Can Train Any AI Agent System

Microsoft Research launches the Agent Lightning reinforcement learning framework, innovatively using a decoupled design to solve AI agent training challenges. The framework abstracts the agent execution process into a unified interface, supporting standardized training for AI agents with different architectures. The accompanying LightningRL algorithm can effectively allocate task rewards. Testing shows that the framework performs well in tasks such as text-to-SQL and RAG question answering, supporting multi-agent collaboration and complex tool calls. Its training-agent separation architecture provides a platform for AI agent training.

7.8k yesterday

Models

Grok 4 Fast

Xai

$1.4

Input tokens/M

$3.5

Output tokens/M

Context Length

qwen3-vl-235b-a22b-thinking

Alibaba

Input tokens/M

$20

Output tokens/M

Context Length

qwen3-coder-plus

Alibaba

Input tokens/M

$16

Output tokens/M

Context Length

Doubao-Seed-Translation

Bytedance

$1.2

Input tokens/M

$3.6

Output tokens/M

Context Length

Qwen3-Next-80B-A3B-Instruct

Alibaba

Input tokens/M

Output tokens/M

256

Context Length

Kimi-K2

Moonshot

Input tokens/M

$16

Output tokens/M

256

Context Length

Doubao-1.5-pro-32k

Bytedance

$0.8

Input tokens/M

Output tokens/M

128

Context Length

Grok Code Fast 1

Xai

$1.4

Input tokens/M

$10.5

Output tokens/M

256

Context Length

DeepSeek-V3.1

Deepseek

Input tokens/M

$12

Output tokens/M

128

Context Length

Hunyuan-T1-latest

Tencent

Input tokens/M

Output tokens/M

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gpt-oss-20b

Openai

$0.4

Input tokens/M

Output tokens/M

128

Context Length

Qwen3-30B-A3B-Instruct-2507

Alibaba

$0.75

Input tokens/M

Output tokens/M

256

Context Length

GPT-5

Openai

$8.75

Input tokens/M

$70

Output tokens/M

400

Context Length

Qwen3-235B-A22B-Instruct-2507

Alibaba

Input tokens/M

Output tokens/M

Context Length

GPT OSS 120B

Openai

$0.63

Input tokens/M

$3.15

Output tokens/M

131

Context Length

qwen3-coder-flash

Alibaba

Input tokens/M

Output tokens/M

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Hunyuan-Large-Vision

Tencent

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GLM-4.5-Flash

Chatglm

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Output tokens/M

128

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GLM-4.5-AirX

Chatglm

Input tokens/M

Output tokens/M

128

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GLM-4.5-X

Chatglm

Input tokens/M

$16

Output tokens/M

128

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MCP

Swarms API MCP Server

The Swarms API is a REST API for building, deploying, and managing multi-agent systems. It supports multiple AI models and swarm architectures, providing functions such as real-time monitoring, batch processing, and task scheduling.

python

10.4k

2.5points

Gaia X

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

typescript

7.7k

2.5points

Multi_orchestrator_mcp

Enterprise-level multi-agent orchestration MCP server for coordinating professional agents in architecture, quality, cloud, and prompt to achieve autonomous software development, testing, and deployment, with self-healing, authentication, and analysis capabilities.

python

5.9k

2.0points

Mcp Scope

This project is the documentation repository for the Multi-agent Control Platform (MCP). It uses GitHub Actions to achieve automated deployment and includes documentation structure, local testing methods, and deployment architecture descriptions.

kotlin

8.3k

2.0points

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