Thanks to visit codestin.com
Credit goes to Github.com

Skip to content

yaklang/memfit-home

Repository files navigation

Memfit AI Architecture

Memfit AI

Recursive Dual-Engine Hybrid Architecture for Intelligent Agent Systems

Website Yaklang SSA

English | 中文


English

What is Memfit AI?

Memfit AI breaks through the limitations of single paradigms by innovatively adopting a Recursive Coupling of ReAct and Plan-Execute hybrid architecture. This architecture organically fuses macroscopic Strategic Planning with microscopic Tactical Execution through a Coordinator, achieving a unity of determinism and flexibility in task processing.

Core Architecture

Recursive Dual-Engine

Engine Layer Responsibility
Plan Engine Strategic Macroscopic deconstruction of tasks into structured Task Trees with temporal dependencies and logical associations
ReAct Engine Tactical Dynamic execution of atomic tasks through "Observation - Thought - Action" closed loops

Recursive Coupling Mechanism: When the ReAct engine encounters complex sub-problems, it dynamically triggers the Plan engine for Sub-planning. This recursive mechanism supports fractal expansion of tasks, adapting to business scenarios of arbitrary complexity.

Dual-Mode User Entry

  1. Coordinator Entry (Plan-Execute Mode)

    • For vague or complex tasks
    • Flow: User → Coordinator → Planning Loop → Review → Runtime → ReAct Loops
  2. ReAct Entry (Instant Execution Mode)

    • For clear, atomic instructions
    • Flow: User → ReAct Loop → Thought → Action → Observation

Key Components

  • Coordinator - System bus and lifecycle manager
  • ReActLoop - Minimal execution unit with "Reasoning-Acting" cycle
  • Tools & Forges - Standardized atomic capabilities and scenario-based AI Blueprints
  • Memory Triage - Intelligent long-term memory using C.O.R.E. P.A.C.T. Framework
  • RAG System - Active, agentic knowledge service with hybrid indexing

Reliability Assurance

  • Self-Reflection - Analyzes failures and generates correction plans
  • Spin Detection - Prevents infinite loops in actions or logic
  • Memory-Augmented Recovery - Retrieves historical error cases for decision support

Quick Links


中文

什么是 Memfit AI?

Memfit AI 突破了单一范式的局限,创新性地采用了 ReAct 与 Plan-Execute 递归耦合 的混合架构。该架构通过 Coordinator(协调器)将宏观的 战略规划 与微观的 战术执行 有机融合,实现了任务处理中确定性与灵活性的统一。

核心架构

递归式双引擎

引擎 层级 职责
Plan 引擎 战略层 将顶层目标拆解为具备时序依赖与逻辑关联的结构化 任务树
ReAct 引擎 战术层 通过 "观察 - 推理 - 行动" 的闭环机制动态执行原子任务

递归耦合机制: 当 ReAct 引擎遇到复杂子问题时,可动态触发 Plan 引擎进行 次级规划。这种递归调用机制支持任务的分形扩展,可适应任意复杂度的业务场景。

双模态用户入口

  1. Coordinator 入口 (Plan-Execute 模式)

    • 适用于模糊或复杂的任务
    • 流程:用户 → Coordinator → 规划循环 → 审查 → 运行时 → ReAct Loops
  2. ReAct 入口 (即时执行模式)

    • 适用于明确的原子化指令
    • 流程:用户 → ReAct Loop → 思考 → 行动 → 观察

关键组件

  • Coordinator - 系统总线与生命周期管理器
  • ReActLoop - 最小执行单元,驱动 "Reasoning-Acting" 循环
  • Tools & Forges - 标准化原子能力与场景化 AI 蓝图
  • Memory Triage - 基于 C.O.R.E. P.A.C.T. 框架的智能长期记忆
  • RAG System - 主动式代理化知识服务,支持混合索引

可靠性保障

  • 自我反思 - 分析失败原因并生成修正计划
  • 自旋检测 - 防止动作或逻辑死循环
  • 记忆增强恢复 - 检索历史相似错误案例辅助决策

快速链接


Built with Yaklang

Copyright © 2025 Memfit AI. All rights reserved.

About

homepage for memfit AI

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published