Software Alternatives, Accelerators & Startups

utterances VS Graphiti

Compare utterances VS Graphiti and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

utterances logo utterances

A lightweight comments widget built on GitHub issues.

Graphiti logo Graphiti

Build personalized AI agents that learn from dynamic data
  • utterances Landing page
    Landing page //
    2022-03-30
Not present

utterances features and specs

  • GitHub Authentication
    Utterances uses GitHub issues for comments, meaning users authenticate via GitHub. This can reduce spam and ensures that commenters have a verified identity.
  • Lightweight and Fast
    Utterances is designed to be lightweight and load quickly, benefiting site performance and user experience.
  • Markdown Support
    Since it leverages GitHub issues, users can write comments in Markdown, which many developers and technical users appreciate.
  • GitHub Integration
    Comments are managed through GitHub issues, making them easy to track, moderate, and integrate into your development workflow.
  • Open Source
    Utterances is open source, allowing developers to review the code, contribute, and customize it to their needs.

Possible disadvantages of utterances

  • Dependency on GitHub
    Comments are entirely reliant on GitHub's infrastructure, which means any downtime or issues with GitHub services can affect the commenting system.
  • Limited to GitHub Users
    Only users with GitHub accounts can comment, which may exclude or discourage participation from users who are not developers or familiar with GitHub.
  • No Anonymity
    Because commenting requires a GitHub account, users cannot comment anonymously, which might be a drawback for some communities.
  • Moderation Complexity
    Moderating comments requires managing GitHub issues, which can be cumbersome compared to dedicated comment moderation tools.
  • Feature Limitations
    Utterances is relatively simple and lacks advanced features found in other commenting systems, like rich media support, voting, or detailed analytics.

Graphiti features and specs

No features have been listed yet.

Analysis of utterances

Overall verdict

  • Utterances is generally considered a good option for integrating a commenting system.

Why this product is good

  • It is lightweight and doesn't add significant loading time to web pages.
  • Utterances uses GitHub issues to store comments, which integrates well for projects already using GitHub for version control.
  • Installation is straightforward, making it easy to implement on static sites, particularly those generated with Jekyll or Hugo.
  • The comments are stored on GitHub's infrastructure, which is reliable and robust.

Recommended for

  • Developers and bloggers already using GitHub for project hosting.
  • Technical blogs and sites generated with static site generators like Jekyll or Hugo.
  • Users who prefer a minimalistic and efficient commenting system over more feature-rich alternatives.
  • Those looking for an open-source, privacy-friendly commenting solution.

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

utterances videos

SEMANTICS-7: Utterances, Sentences & Propositions

Graphiti videos

What is Graphiti Temporal Knowledge Graph?

Category Popularity

0-100% (relative to utterances and Graphiti)
Social Networks
100 100%
0% 0
Developer Tools
0 0%
100% 100
Project Management
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, utterances should be more popular than Graphiti. It has been mentiond 53 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.

utterances mentions (53)

  • Adding Giscus Comments to Next.js Blog Pages
    Utterances: **The primary inspiration for giscus. It uses **GitHub Issues instead of Discussions to store comments. It is extremely lightweight but does not support threaded replies as natively as giscus. - Source: dev.to / 5 months ago
  • [TIL][Jekyll] Replacing Disqus with utterances for GitHub issue comments
    Title: [TIL][Jekyll] Removing Disqus and switching to utteranc to use github issue as article comments Published: false Date: 2021-05-14 00:00:00 UTC Tags: Canonical_url: http://www.evanlin.com/jekyll-remove-disqus/ --- ![](http://www.evanlin.com/images/2021/github_comment.jpg) ## Preface: ![](https://jekyllrb.com/img/jekyll-og.png) The escalation of the pandemic disrupted the original travel plans, but... - Source: dev.to / about 5 years ago
  • Add Utterances Comment System in Next.js App in App Router
    'use client'; Import { useEffect, useRef } from 'react'; Const Comments = ({ issueTerm }) => { const commentsSection = useRef(null); useEffect(() => { const script = document.createElement('script'); script.src = 'https://utteranc.es/client.js'; script.async = true; script.crossOrigin = 'anonymous'; script.setAttribute('repo', 'shade-cool/article'); script.setAttribute('issue-term',... - Source: dev.to / about 2 years ago
  • Converting BlogCFC blog to Eleventy
    Handling New Comments: There are excellent lightweight comment utilities available for managing comments on your eleventy blog. I personally use Utterances, but Giscus is also a great alternative. - Source: dev.to / over 2 years ago
  • Unleash Your Dev Blog: Write More with GitHub Issues as Your CMS
    We can use utteranc.es, a lightweight comment widget built on GitHub Issues to integrate authed comments in our blog. - Source: dev.to / over 2 years ago
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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 โ€” 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 โ€” 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
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What are some alternatives?

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

Commento - A fast, bloat-free comments system to foster discussion on your website

cognee - Memory for AI Agents

DISQUS - Disqus is a global comment system that improves discussion on websites and connects conversations across the web.

OpenAI - GPT-3 access without the wait

giscus - A comments system powered by GitHub Discussions. Let visitors leave comments and reactions on your website via GitHub!

Kodingo - Project memory for AI-assisted development