AgentIndex icon
AgentIndex
floop logo
floop
★ 26
vs
deep-research logo
deep-research
★ 4.7k

floop vs deep-research

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.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

floop logo
floopRAG / Knowledge Base · ★ 26

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

Read floop full review →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
floop logofloop
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 26
★ 4.7k
License
Apache-2.0
MIT
Install Command
go install github.com/nvandessel/feedback-loop/cmd/floop@latest
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
2mo ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
AI Agents, Persistent Memory, Feedback Loop
AI Research, LLM, Privacy-focused
03

Features

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.
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

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.
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between floop and deep-research?
Both floop and deep-research are in the RAG / Knowledge Base category. floop has 26 stars, while deep-research has 4.7k stars.
Which is better, floop or deep-research?
The best choice depends on your use case. Choose floop if Teach an AI agent new behaviors or corrections based on its mistakes., and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is floop free or open source?
Yes, floop is open source on GitHub (Apache-2.0).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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Related

Alternatives to floop →Alternatives to deep-research →floop details →deep-research details →