Graphiti VS Backscroll

Graphiti

Build personalized AI agents that learn from dynamic data

Search and ask across your ChatGPT, Claude and Gemini history. Import your exports once, find any past conversation by meaning, and get answers pulled from your own chats with links back to the source.

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Graphiti

Website: github.com

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Backscroll

Website: backscroll.xyz

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Analysis of Graphiti

Overall verdict

Graphiti is a well-regarded open-source framework for building real-time, temporally-aware knowledge graphs, particularly useful for AI agents and applications that need persistent, evolving memory. It's actively maintained by Zep and has gained solid traction in the LLM and agent development community.

Why this product is good

Purpose-built for real-time knowledge graphs that update incrementally without full recomputation
Temporal awareness lets it track how facts and relationships change over time
Designed specifically for AI agent memory, enabling more context-aware and persistent applications
Integrates with LLMs and supports hybrid retrieval (semantic, keyword, and graph-based search)
Open-source with active development and backing from Zep, plus growing community adoption
Scalable architecture suitable for production use cases involving dynamic data

Recommended for

Developers building AI agents that need long-term, evolving memory
Teams creating LLM-powered applications requiring context-aware retrieval
Projects needing temporally-aware knowledge graphs that track changes over time
Use cases involving dynamic, frequently-updated data rather than static datasets
Engineers exploring alternatives to traditional RAG for more structured, relational context

Analysis of Backscroll

Overall verdict

Backscroll appears to be a niche crypto/blockchain-related tool or protocol, but there is limited verifiable public information available to comprehensively assess its quality, security, or reliability. Users should conduct thorough due diligence before engaging with it.

Why this product is good

Specific and verifiable details about Backscroll's features, team, and track record are not widely documented in accessible sources.
Crypto and Web3 projects often carry higher risk profiles, so unverified platforms warrant extra caution.
Without independent audits, user reviews, or established reputation signals, it's difficult to confirm its legitimacy or performance.
Any assessment would benefit from checking official documentation, community feedback, and security audit reports directly from the source.

Recommended for

Users who are willing to conduct independent research and due diligence before use.
Crypto-experienced individuals comfortable evaluating smart contract or protocol risk themselves.
Not recommended for beginners or those seeking well-established, thoroughly vetted platforms without further investigation.

Graphiti videos

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What is Graphiti Temporal Knowledge Graph?

Backscroll videos

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Category Popularity

0-100% (relative to Graphiti and Backscroll)

Graphiti

Backscroll

Developer Tools

100 100%

Developer Tools

0% 0

Chatbots

0 0%

Chatbots

100% 100

68 68%

32% 32

AI Tools

100 100%

AI Tools

0% 0

User comments

Share your experience with using Graphiti and Backscroll. For example, how are they different and which one is better?

Social recommendations and mentions

Based on our record, Graphiti seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Graphiti mentions (9)

Your AI Agent Forgets Everything After Every Session. Graphiti Fixes That.
Graphiti is an open-source framework by Zep for building and querying temporal context graphs for AI agents. It's the engine behind Zep's managed memory platform, but it's fully usable standalone. - Source: dev.to / about 1 month ago
I Tested 33 AI Memory Engines — Here's What Actually Works
Graphiti by Zep is the temporal knowledge graph. Its core insight: knowing the current state isn't enough. You need to know when things changed and what was true before. - Source: dev.to / 2 months ago
I Built Two Ollama Tools I Don't Actually Need Yet
Several services share the same Ollama instance on a dedicated host that homelab-agent is provisioning: LibreChat for interactive chat, a SearXNG MCP server for ML-reranked search, and three background embedding jobs — graphiti, jobsearch-mcp, and memsearch-watch. - Source: dev.to / 3 months ago
I Benchmarked Graphiti vs Mem0: The Hidden Cost of Context Blindness in AI Memory
It started with a 35,000-token "Master Prompt" that she maintained manually in Notion. Every time something changed in her life, she updated it by hand. That obviously didn't scale. So I moved to Graphiti, a knowledge graph framework that extracts entities and relationships from conversations automatically. - Source: dev.to / 4 months ago
Show HN: A file-based agent memory framework that works like skill
- *[Zep](https://github.com/getzep/graphiti)* uses graphs, which handle structure well but add complexity and maintenance overhead. - Source: Hacker News / 7 months ago

Backscroll mentions (0)

We have not tracked any mentions of Backscroll yet. Tracking of Backscroll recommendations started around Jun 2026.

What are some alternatives?

When comparing Graphiti and Backscroll, you can also consider the following products

cognee - Memory for AI Agents

Rewind - Rewind Backups is a top-rated cloud-to-cloud backup solution for SaaS applications. Back up, restore, and copy the critical information stored in your SaaS applications.

OpenAI - GPT-3 access without the wait

Mem - Capture and access information from anywhere

Kodingo - Project memory for AI-assisted development

ChatBetter - Use ChatGPT, Claude, and Gemini Side-By-Side