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Fellow logoFellow
vs
Hjarni logoHjarni

Fellow vs Hjarni: Which is Better in 2026?

A comprehensive comparison of Fellow and Hjarni covering features, pricing, use cases, and which tool is the right choice for your needs.

⚡ Quick Verdict

Choose Fellow if:

  • You want more affordable paid plans (from $7/mo)
  • You need a broader feature set (9 features vs 5)
  • You need ai meeting copilot — auto-records, transcribes, and summarizes or collaborative meeting agendas (shared before meeting starts)

Choose Hjarni if:

  • You need full mcp and api access on every plan, including free or ai can search, read and write notes mid-conversation

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Fellow vs Hjarni: At a Glance

Attribute
Fellow
Hjarni
Pricing Model
Freemium
Freemium
Starting Price
Free plan + paid from $7/user/month
Free plan + paid from $10/month
Free Tier
✓ Yes
✓ Yes
Category
Productivity
Productivity
Features Count
9 features
5 features
Shared Features
0 features in common

Pricing Comparison: Fellow vs Hjarni

Understanding the pricing differences between Fellow and Hjarni is crucial for making the right choice. Here's how their plans compare side by side.

Fellow Pricing

Free$0forever
Pro$7/user/month
Business$10/user/month
EnterpriseCustom
View full Fellow pricing →

Hjarni Pricing

Free$0forever
Pro is$10/month
Teams is$20/month
a team of three is$60/month
A personal Pro plan stays separate from a teamSee website
EnterpriseCustom
View full Hjarni pricing →

💡 Pricing takeaway: Both Fellow and Hjarni offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.

Feature-by-Feature Comparison

Here's how every feature from Fellow and Hjarni stacks up.

Feature
Fellow
Hjarni
AI Meeting Copilot — auto-records, transcribes, and summarizes
Collaborative meeting agendas (shared before meeting starts)
Action item assignment with deadline tracking
1:1 meeting templates and recurring check-in flows
Manager feedback and team performance tools
Employee recognition and shoutouts
Integration with Slack, Asana, Jira, HubSpot, Salesforce
Meeting effectiveness score and analytics
Meeting templates library (200+)
Full MCP and API access on every plan, including free
AI can search, read and write notes mid-conversation
Every AI edit is visible and undoable
Markdown export at any time; EU-hosted, no training on your notes
Folder-level and brain-level AI instructions

What Makes Each Tool Unique

🔵 Unique to Fellow

Features available in Fellow but not in Hjarni:

  • AI Meeting Copilot — auto-records, transcribes, and summarizes
  • Collaborative meeting agendas (shared before meeting starts)
  • Action item assignment with deadline tracking
  • 1:1 meeting templates and recurring check-in flows
  • Manager feedback and team performance tools
  • Employee recognition and shoutouts
  • Integration with Slack, Asana, Jira, HubSpot, Salesforce
  • Meeting effectiveness score and analytics
  • Meeting templates library (200+)

🟣 Unique to Hjarni

Features available in Hjarni but not in Fellow:

  • Full MCP and API access on every plan, including free
  • AI can search, read and write notes mid-conversation
  • Every AI edit is visible and undoable
  • Markdown export at any time; EU-hosted, no training on your notes
  • Folder-level and brain-level AI instructions

Use Case Recommendations

Best for: Fellow

Fellow is an AI-powered meeting management platform used by teams at Shopify, Hubspot, and Twitter. It combines collaborative meeting agendas, AI-generated meeting notes and summaries, action item tracking, and manager feedback tools into a single workspace. Fellow's AI Meeting Copilot auto-records and transcribes meetings, generates structured summaries, assigns action items, and syncs with your team's task management tools. It also includes 1:1 meeting templates, team check-in workflows, and employee recognition features — making it more of a team performance tool than just a note-taker.

Ideal use cases:

  • Teams or individuals who need ai meeting copilot — auto-records, transcribes, and summarizes
  • Teams or individuals who need collaborative meeting agendas (shared before meeting starts)
  • Teams or individuals who need action item assignment with deadline tracking
  • Teams or individuals who need 1:1 meeting templates and recurring check-in flows
  • Anyone focused on meeting-management workflows
  • Anyone focused on 1-on-1 workflows
Try Fellow

Best for: Hjarni

Hjarni is a hosted Markdown knowledge base that exists to give ChatGPT and Claude a long-term memory you own. The problem it targets is the one every heavy assistant user hits: you explain your codebase, your house, your research corpus or your company's history to the model, the conversation ends, and the next one starts from zero. Hjarni gives the model a place to write things down and read them back. It exposes the whole base over MCP and a REST API, so the assistant can search notes, fetch a specific one, and update it mid-conversation — the product's own examples show Claude noticing that a stored fact is stale, updating the note, and the next conversation already knowing. Underneath it is a plain notes app: folders, tags, search, file attachments, and AI instructions that can be set at the whole-brain level or per folder, which the model then inherits. The ownership guarantees are the selling point and are stated plainly — every AI edit is visible and undoable, notes export to Markdown at any time, data is hosted in the EU on Hetzner, encrypted in transit and at rest, and the vendor does not train on your notes. It is listed in both the ChatGPT Apps Directory and the Claude Connectors Directory.

Ideal use cases:

  • Teams or individuals who need full mcp and api access on every plan, including free
  • Teams or individuals who need ai can search, read and write notes mid-conversation
  • Teams or individuals who need every ai edit is visible and undoable
  • Teams or individuals who need markdown export at any time; eu-hosted, no training on your notes
  • Anyone focused on mcp-server workflows
  • Anyone focused on knowledge-base workflows
Try Hjarni

Other Productivity Tools to Consider

Fellow and Hjarni aren't the only options. Here are other popular tools in the same space:

🏷️

Is one of these your tool?

This page ranks for "Fellow vs Hjarni" — buyers comparing the two land here, and ChatGPT and Perplexity cite it. Claim your listing for $19 one-time — no subscription, nothing to cancel — and get a Featured badge, top placement in your category, and a permanent dofollow backlink. Prefer it ongoing? Monthly is one click away on the next page.

Frequently Asked Questions

Is Fellow better than Hjarni?

It depends on your needs. Fellow offers 9 key features including AI Meeting Copilot — auto-records, transcribes, and summarizes and Collaborative meeting agendas (shared before meeting starts), while Hjarni provides 5 features including Full MCP and API access on every plan, including free and AI can search, read and write notes mid-conversation. Fellow uses a freemium model with a free tier, while Hjarni is freemium with free access available. Choose based on which features and pricing model align with your requirements.

Is Fellow cheaper than Hjarni?

Fellow is cheaper, starting at $7/user/month compared to Hjarni's $10/month. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.

Can I use Fellow and Hjarni together?

Yes, many users combine Fellow and Hjarni in their workflow. Fellow excels at ai meeting copilot — auto-records, transcribes, and summarizes, while Hjarni shines with full mcp and api access on every plan, including free. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.

What's the main difference between Fellow and Hjarni?

While both are productivity tools, Fellow emphasizes ai meeting copilot — auto-records, transcribes, and summarizes, whereas Hjarni is known for full mcp and api access on every plan, including free. The best choice depends on your specific workflow and feature priorities.

Learn More

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