Memfit AI - Open-Source Cybersecurity AI Agent Orchestration Framework: Persistent Knowledge, Visible Action

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Persistent Knowledge, Visible Action

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What is Memfit AI?

Memfit AI is the open-source cybersecurity AI Agent orchestration framework of the Yaklang ecosystem, built on a recursive dual-engine (ReAct + Plan) architecture for security automation and code auditing.

Recursive Dual-Engine Architecture
Memfit AI utilizes a professional recursive dual-engine architecture that deeply integrates ReAct dynamic reasoning with Plan-Execute strategic planning, enabling deterministic execution of complex tasks through recursive nesting.

•ReAct Real-Time Reasoning Engine: Think, act, and adjust simultaneously, dynamically responding to task changes.

•Plan-Execute Strategic Planning Engine: Global perspective, precise breakdown, systematic execution.

•Recursive Nesting Architecture: Intelligent decomposition of large tasks, precise execution of small tasks, progressively advancing towards the goal.

Memfit AI Overview
Goals and Outcomes
High Interaction Alignment with User Need
High Certainty and Structured Task Execution Process
Adaptive Based on Task Goals and Environment
Memfit AI VS Traditional AI Agent

How the recursive dual-engine compares to single-engine agent architectures

Dimension
Memfit AI
Next-Gen
Omni-functional intelligent agent enterprise-level solutions
Traditional AI Agent
Traditional Solutions
Basic tool-type limited scenario applications
Core Architecture
Recursive dual-engine: ReAct + Plan-Execute deep integration, recursive nested execution
Single reasoning engine, linear execution
Task Planning
AI-generated strategic planning → User review → Task tree decomposition → Parallel/serial execution
No planning or simple planning, direct execution
Task Decomposition
Intelligent recursive decomposition, step-by-step progression, independent and controllable sub-tasks
Linear task chain, no nesting capability
Skill System
Rich preset skill library + Custom skill extensions
Basic tool invocation, limited expansion
Memory Mechanism
Intelligent memory system + RAG knowledge enhancement + Long-term memory
Simple contextual memory, no persistence
Execution Mode
Multiple focus modes (in-depth research, rapid execution, creative exploration, etc.)
Single execution mode
Controllability
User review mechanism, manual intervention at key nodes
Automatic execution, lack of control points
Transparency
Complete execution chain traceability, deterministic logs
Basic execution logs

Core Architecture

Memfit AI is built around five key components that work in concert to deliver intelligent security capabilities.

Architecture Diagram

Frequently Asked Questions

What is Memfit AI?

Memfit AI is the open-source cybersecurity AI Agent orchestration framework of the Yaklang ecosystem. Built on a recursive dual-engine (ReAct + Plan) architecture, it provides memory/RAG, tools/Forges and spin-detection capabilities for security automation and code auditing, with 30+ pages of bilingual documentation.

Which operating systems does Memfit AI support?

Memfit AI supports macOS (Intel and Apple Silicon), Windows and Linux, with installers in .dmg, .exe and .AppImage formats available from the official downloads page.

Is Memfit AI free and open source?

Yes. The Memfit AI client is free, and the engine is open source under the Apache-2.0 license, designed and maintained by the Yaklang team.

How does the recursive dual-engine work?

The Plan engine decomposes and schedules tasks while the ReAct engine reasons and acts in real time; the two recurse into each other — large tasks are decomposed intelligently, small tasks are executed precisely — with 17 built-in focus modes (deep research, fast execution, and more).