AgentRecall-MCP vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
AgentRecall-MCP by Goldentrii | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 252 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsDeveloper ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | this month | this month |
AgentRecall-MCP · Summary
AgentRecall provides AI session memory with Think-Execute-Reflect quality loops to enable persistent, compounding memory for AI agents.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
AgentRecall-MCP · Use cases
- Persistent memory for AI agents working across multiple sessions
- Knowledge management for development teams using Claude or similar AI tools
- Bootstrap import from existing memory systems like Claude AutoMemory
filesystem · Use cases
- Enable AI models to read and write project files during development
- Allow Claude or other MCP clients to browse and analyze codebases
- Provide secure sandboxed access to specific directories for content generation
AgentRecall-MCP · Install
Installation
- Install the MCP server via npm:
npm install -g agent-recall-mcp- Add to Claude Desktop configuration:
{
"mcpServers": {
"agent-recall": {
"command": "npx",
"args": ["agent-recall-mcp"]
}
}
}- Run
/arbootstrapto import existing memory systems and projects.
filesystem · Install
Installation
Using NPX
{
"mcpServers": {
"filesystem": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-filesystem",
"/path/to/allowed/directory"
]
}
}
}Using Docker
{
"mcpServers": {
"filesystem": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
"mcp/filesystem",
"/projects"
]
}
}
}VS Code Extension
Click the installation buttons in the README to install directly in VS Code.