by FlowElement-ai · MCP Server · ★ 2.4k
M-flow Graph RAG finds what's similar. M-flow finds what's relevant. 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 fundamental shift is this: existing systems build graphs but still retrieve by embedding distance. M-flow makes the graph the retrieval mechanism itself. RAG embeds chunks and ranks by vector similarity. GraphRAG goes further — it extracts entities, builds a knowledge graph, and generates community summaries.
| Stars | 2,389 |
| Forks | 238 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 57.65/100 |
| Open Issues | 19 |
| Last Updated | 2026-05-02 |
| Created | 2026-03-31 |
| Platforms | mcp, python |
| Est. Tokens | ~285k |
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 2.4k 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-ai/m_flow. The project has 2.4k stars and 238 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.