No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by FlowElement-xinliuyuansu · MCP Server · ★ 4.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is m_flow safe to install? View the security audit →
M-flow RAG matches chunks. GraphRAG structures context. M-flow scores evidence paths. Retrieval through reasoning and association — M-flow operates like a cognitive memory system. m-flow.ai · flowelement.ai · Quick Start · Architecture · Examples · OpenClaw Skill · Contact What is M-flow? The real shift is not whether a system builds a graph, but what the graph is allowed to do at retrieval time. Graph topology encodes relevance. In most RAG systems, retrieval is still dominated by similarity: the query is embedded, textual units are ranked by vector distance, and structure—if present—mainly helps organize, summarize, or expand context. Many GraphRAG systems add entities, relations, and community structure, but the graph often remains supportive rather than decisive in scoring. M-flow takes a different approach: the graph is the scoring engine. When a query arrives, vector search casts a wide net across multiple granularities to find entry points. Then the graph takes ove
| Stars | 4,511 |
| Forks | 259 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 58.7333919995158/100 |
| Open Issues | 13 |
| Last Updated | 2026-09-01 |
| Created | 2026-03-31 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
These tools work well together with m_flow for enhanced workflows:
Looking for a m_flow alternative? If you're comparing m_flow with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI
A memory OS that makes your OpenClaw agents more personal while saving tokens.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowl
A lightweight, rollbackable, and visual Long-Term Memory Server for MCP Agents. Say goodbye to Vector RAG and
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill r
Explore other popular mcp server tools:
m_flow is A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.. It is categorized as a MCP Server with 4.5k GitHub stars.
m_flow is primarily written in Python. It covers topics such as agent-memory, agentic-ai, ai-reasoning.
You can find installation instructions and usage details in the m_flow GitHub repository at github.com/FlowElement-xinliuyuansu/m_flow. The project has 4.5k stars and 259 forks, indicating an active community.
m_flow is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to m_flow on Agent Skills Hub include m_flow, code-graph-rag, EverMemOS. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: