---
title: "memory-bank-mcp vs arcade-mcp"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/alioshr-memory-bank-mcp-vs-arcadeai-arcade-mcp"
tools: ["alioshr-memory-bank-mcp", "arcadeai-arcade-mcp"]
---

# memory-bank-mcp vs arcade-mcp

*GraphCanon updated Jul 27, 2026*

## Verdict

Pick memory-bank-mcp if memory-bank-mcp is an MCP server implementation enabling remote memory bank management inspired by Cline Memory Bank; pick arcade-mcp if arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol.

[memory-bank-mcp](https://www.npmjs.com/package/@allpepper/memory-bank-mcp) reports 915 GitHub stars, 84 forks, and 17 open issues, last pushed Aug 20, 2025. [arcade-mcp](https://docs.arcade.dev) has 981 stars, 101 forks, and 16 open issues, last pushed Jul 26, 2026. Figures are from public GitHub metadata via [memory-bank-mcp's repository](https://github.com/alioshr/memory-bank-mcp) and [arcade-mcp's repository](https://github.com/ArcadeAI/arcade-mcp).

| | [memory-bank-mcp](/tools/alioshr-memory-bank-mcp.md) | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) |
| --- | --- | --- |
| Tagline | A Model Context Protocol (MCP) server for remote memory bank management | MCP Server Framework and Tool Development Library for Custom Agent Capabilities |
| Stars | 915 | 981 |
| Forks | 84 | 101 |
| Open issues | 17 | 16 |
| Language | TypeScript | Python |
| Adopt for | memory-bank-mcp is an MCP server implementation enabling remote memory bank management inspired by Cline Memory Bank. | Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT |
| Categories | Vector Databases | AI Agents |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [memory-bank-mcp](/tools/alioshr-memory-bank-mcp.md) | [arcade-mcp](/tools/arcadeai-arcade-mcp.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Very active (96%) |
| Days since push | 340d | 0d |
| Open issues (now) | 17 | 16 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/alioshr-memory-bank-mcp/trust.md) | [trust report](/tools/arcadeai-arcade-mcp/trust.md) |

## Decision facts: memory-bank-mcp

- **Adopt for:** memory-bank-mcp is an MCP server implementation enabling remote memory bank management inspired by Cline Memory Bank.

## Decision facts: arcade-mcp

- **Requirements:** Min 4 GB RAM
- **Adopt for:** Arcade-MCP is an MCP Server Framework and Tool Development Library specifically built for incorporating custom capabilities into AI agents using the Model Context Protocol.

## Choose when

### Choose memory-bank-mcp if…

- memory-bank-mcp is primarily TypeScript; arcade-mcp is Python.
- Tags unique to memory-bank-mcp: antrophic, claude, cline, cline-memory-bank.
- Also covers Vector Databases.
- memory-bank-mcp ships Docker support for self-hosted deployment.
- memory-bank-mcp ships an MCP server manifest.
- When your application requires a Model Context Protocol (MCP) server that supports remote management of a memory bank, with inspiration from the Cline Memory Bank architecture.

### Choose arcade-mcp if…

- arcade-mcp is primarily Python; memory-bank-mcp is TypeScript.
- Requirements: Min 4 GB RAM.
- Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, python.
- Also covers AI Agents.
- When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.

## When NOT to use memory-bank-mcp

- Avoid usage if your project's primary language is not compatible with or does not benefit from TypeScript, which memory-bank-mcp uses.
- If your application framework is incompatible with the Model Context Protocol (MCP) that this tool implements, then it should be avoided as it may cause undue integration challenges.

## When NOT to use arcade-mcp

- If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity.
- When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.

## Common questions

### What is the difference between memory-bank-mcp and arcade-mcp?

memory-bank-mcp: A Model Context Protocol (MCP) server for remote memory bank management. arcade-mcp: MCP Server Framework and Tool Development Library for Custom Agent Capabilities. See the comparison table for live GitHub stats and shared categories.

### When should I choose memory-bank-mcp over arcade-mcp?

Choose memory-bank-mcp over arcade-mcp when memory-bank-mcp is primarily TypeScript; arcade-mcp is Python; Tags unique to memory-bank-mcp: antrophic, claude, cline, cline-memory-bank; Also covers Vector Databases; memory-bank-mcp ships Docker support for self-hosted deployment; memory-bank-mcp ships an MCP server manifest; When your application requires a Model Context Protocol (MCP) server that supports remote management of a memory bank, with inspiration from the Cline Memory Bank architecture.

### When should I choose arcade-mcp over memory-bank-mcp?

Choose arcade-mcp over memory-bank-mcp when arcade-mcp is primarily Python; memory-bank-mcp is TypeScript; Requirements: Min 4 GB RAM; Tags unique to arcade-mcp: ai, arcade-ai, mcp-framework, python; Also covers AI Agents; When you need to build detailed, custom interactions between your AI agent and a structured environment that requires specific context management capabilities through the MCP protocol.

### When should I avoid memory-bank-mcp?

Avoid usage if your project's primary language is not compatible with or does not benefit from TypeScript, which memory-bank-mcp uses. If your application framework is incompatible with the Model Context Protocol (MCP) that this tool implements, then it should be avoided as it may cause undue integration challenges.

### When should I avoid arcade-mcp?

If your project does not involve interaction with an environment that relies on the Model Context Protocol for its core functionality, Arcade-MCP may offer unnecessary complexity. When working in environments where direct support and integration of tools are crucial, arcade-mcp might have less support compared to more mainstream AI agent frameworks.

### Is memory-bank-mcp or arcade-mcp more popular on GitHub?

arcade-mcp has more GitHub stars (981 vs 915). Stars measure visibility, not whether either tool fits your constraints.

### Are memory-bank-mcp and arcade-mcp open source?

Yes - both are open-source projects on GitHub (memory-bank-mcp: MIT, arcade-mcp: MIT).

### Where can I find alternatives to memory-bank-mcp or arcade-mcp?

GraphCanon lists graph-backed alternatives at [memory-bank-mcp alternatives](/tools/alioshr-memory-bank-mcp/alternatives) and [arcade-mcp alternatives](/tools/arcadeai-arcade-mcp/alternatives) ([memory-bank-mcp markdown twin](/tools/alioshr-memory-bank-mcp/alternatives.md), [arcade-mcp markdown twin](/tools/arcadeai-arcade-mcp/alternatives.md)), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at [this comparison](/compare/alioshr-memory-bank-mcp-vs-arcadeai-arcade-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, memory-bank-mcp or arcade-mcp?

memory-bank-mcp: Slowing. arcade-mcp: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

### Where are the full trust reports for memory-bank-mcp and arcade-mcp?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memory-bank-mcp trust report](/tools/alioshr-memory-bank-mcp/trust); [arcade-mcp trust report](/tools/arcadeai-arcade-mcp/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=alioshr-memory-bank-mcp`](/api/graphcanon/graph?tool=alioshr-memory-bank-mcp)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_
