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AgentIndex
remote-mcp-server logo
remote-mcp-server
★ 166
vs
floop logo
floop
★ 26

remote-mcp-server vs floop

remote-mcp-server: The Glean Remote MCP Server securely connects enterprise knowledge with AI assistants and developer tools. It implements the Model Context Protocol to provide real-time, permission-aware access to company documents, people, and data.; floop: floop provides persistent memory for AI coding agents, allowing them to learn from corrections and maintain consistency across sessions. It extracts reusable behaviors from your feedback and activates them contextually using spreading activation, much like how the brain retrieves memories.

01

TL;DR

remote-mcp-server logo
remote-mcp-serverRAG / Knowledge Base · ★ 166

Integrate enterprise knowledge with AI assistants (LLMs).

Read remote-mcp-server full review →
floop logo
floopRAG / Knowledge Base · ★ 26

Teach an AI agent new behaviors or corrections based on its mistakes.

Read floop full review →
02

Side-by-Side Comparison

Field
remote-mcp-server logoremote-mcp-server
floop logofloop
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 166
★ 26
License
MIT
Apache-2.0
Install Command
git clone https://github.com/gleanwork/remote-mcp-server.git
go install github.com/nvandessel/feedback-loop/cmd/floop@latest
Updated
6mo ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
Remote Server, Model Context Protocol, Enterprise Knowledge
AI Agents, Persistent Memory, Feedback Loop
03

Features

remote-mcp-server logoremote-mcp-server
01Enterprise Knowledge Access
02People & Expertise Discovery
03Permission-Aware
04OAuth 2.0 Authentication
05Streamable HTTP Transport
floop logofloop
01Learns from user corrections to build durable behaviors.
02Activates behaviors based on file type, task, and semantic relevance.
03Uses graph-based memory retrieval inspired by cognitive science (spreading activation).
04Optimizes context injection to stay within token limits.
05Offers a comprehensive CLI with JSON output for agent consumption.
04

Use Cases

remote-mcp-server logoremote-mcp-server
↳Integrate enterprise knowledge with AI assistants (LLMs).
↳Provide secure data access for developer tools and agents.
↳Enable natural language interaction with company documents and people.
↳Facilitate information retrieval while respecting access permissions.
floop logofloop
↳Teach an AI agent new behaviors or corrections based on its mistakes.
↳Manage and inspect the stored behaviors and their relationships.
↳Integrate with AI coding tools (e.g., Claude Code, Cursor) to provide dynamic context.
↳Generate context-aware prompts for AI agents based on the current project and task.
FAQ

FAQ

What is the difference between remote-mcp-server and floop?
Both remote-mcp-server and floop are in the RAG / Knowledge Base category. remote-mcp-server has 166 stars, while floop has 26 stars.
Which is better, remote-mcp-server or floop?
The best choice depends on your use case. Choose remote-mcp-server if Integrate enterprise knowledge with AI assistants (LLMs)., and floop if Teach an AI agent new behaviors or corrections based on its mistakes..
Is remote-mcp-server free or open source?
Yes, remote-mcp-server is open source on GitHub (MIT).
Is floop free or open source?
Yes, floop is open source on GitHub (Apache-2.0).
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