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AgentIndex
atlas-mcp-server logo
atlas-mcp-server
★ 478
vs
floop logo
floop
★ 26

atlas-mcp-server vs floop

atlas-mcp-server: ATLAS (Adaptive Task & Logic Automation System) is an MCP server designed for LLM Agents to manage projects, tasks, and knowledge. It utilizes a 3-node architecture (Projects, Tasks, Knowledge) and a Neo4j graph database to provide comprehensive management capabilities and standardized communication.; 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

atlas-mcp-server logo
atlas-mcp-serverRAG / Knowledge Base · ★ 478

AI-driven project execution and coordination via LLM agents.

Read atlas-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
atlas-mcp-server logoatlas-mcp-server
floop logofloop
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 478
★ 26
License
Apache-2.0
Apache-2.0
Install Command
npm install
go install github.com/nvandessel/feedback-loop/cmd/floop@latest
Updated
1y ago
2mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
LLM Agents, Task Management, Project Management
AI Agents, Persistent Memory, Feedback Loop
03

Features

atlas-mcp-server logoatlas-mcp-server
01Comprehensive Project Tracking and Dependency Handling
02Full Task Lifecycle Management with Prioritization and Dependencies
03Structured Knowledge Repository with Domain Categorization and Citations
04Native Graph Database Integration using Neo4j for Robust Relationships and Scalability
05Unified Cross-Entity Search for Projects, Tasks, and Knowledge
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

atlas-mcp-server logoatlas-mcp-server
↳AI-driven project execution and coordination via LLM agents.
↳Automated management of development tasks and workflows by AI.
↳Centralized knowledge base creation and retrieval for intelligent systems.
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 atlas-mcp-server and floop?
Both atlas-mcp-server and floop are in the RAG / Knowledge Base category. atlas-mcp-server has 478 stars, while floop has 26 stars.
Which is better, atlas-mcp-server or floop?
The best choice depends on your use case. Choose atlas-mcp-server if AI-driven project execution and coordination via LLM agents., and floop if Teach an AI agent new behaviors or corrections based on its mistakes..
Is atlas-mcp-server free or open source?
Yes, atlas-mcp-server is open source on GitHub (Apache-2.0).
Is floop free or open source?
Yes, floop is open source on GitHub (Apache-2.0).
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