Software Alternatives & Startups

Fellow.app VS ContextForge.dev

Compare Fellow.app VS ContextForge.dev and see what are their differences

Fellow.app

Fellow is the most complete AI meeting management platform built for teams that want to move faster and smarter

Rating
0 reviews
Pricing
Freemium Free trial
ContextForge.dev

Stop re-explaining your project to Claude every session. ContextForge adds persistent memory to Claude Code, Cursor, and Copilot via MCP. Free tier, 3-minute setup.

Rating
0 reviews
Pricing
Freemium $9 / Monthly (Pro — 15k queries/mo, 5 collaborators)

Which is more popular?

ContextForge.dev might be a bit more popular than Fellow.app. We know about 2 links to it since March 2021 and only 2 links to Fellow.app.

social mentions
2 vs 2
Productivity popularity
97% vs 3%
alternatives listed
240+ vs 2

Base details

Website, pricing, platforms and company facts side by side.

Fellow.app
ContextForge.dev
Website fellow.ai contextforge.dev
Pricing
Freemium Free trial Official pricing
Freemium $9 / Monthly (Pro — 15k queries/mo, 5 collaborators) Official pricing
Platforms —
SaaS Web Mac Windows Linux +2
Company 2019 Startup from the United States · 2026
Listed in

About Fellow.app and ContextForge.dev

In their own words, as submitted to SaaSHub.

Fellow.app
ContextForge.dev

Fellow connects every meeting in your calendar to your AI recaps, agendas, and notes so that nothing slips through the cracks. Fellow fits seamlessly into your team’s existing daily flow with 50+ native integrations, browser extensions and a desktop app so everything you need before, during and...

Read more about Fellow.app

ContextForge is persistent, searchable memory for AI coding agents — built on the Model Context Protocol (MCP). Your AI assistant forgets everything when the session ends. ContextForge fixes that: save architectural decisions, naming conventions, and debugging context once, and any MCP client...

Read more about ContextForge.dev

Features and specs

What each product offers, as listed by its team.

Fellow.app 5 features
ContextForge.dev 6 features
  • Fellow's AI Meeting Copilot
    Fellow’s AI Meeting Copilot automatically records, transcribes, and summarizes your meetings while seamlessly integrating into your meeting workflow and favorite tools.
  • Ask Copilot
    Ask your Fellow Copilot any questions about the meeting and get answers to all your questions. You can even ask it things like “What should I follow up on next meeting?” or “What should I prioritize based on the discussion?”.
  • Collaborative Meeting Notes
    Collaborative agendas ensure everyone has the context and information to show up ready to contribute
  • Action Items
    Assign action items and sync them with your project management tools to ensure accountability and cross-functional alignment.
  • Meeting Guidelines
    Get your team working together to transform meetings across your organization with meeting best practices integrated into every Google or Outlook Calendar event.
  • Semantic Search
    Vector search (pgvector) — recall by meaning, not keywords
  • Git Integration
    Auto-ingests commits and PRs as searchable knowledge
  • MCP-Native
    Works with Claude Code, Cursor, Copilot, ChatGPT, Windsurf
  • Task Tracking
    Work items your agent can read, create, and update
  • Snapshots
    Version and restore your entire knowledge base
  • Team Sharing
    Shared spaces and memory across your team

Analysis

An editorial look at what each product does well and who it suits.

Fellow.app
ContextForge.dev

Overall verdict

  • Fellow.app is generally well-regarded for its user-friendly interface and robust feature set that supports efficient meeting management. Many users appreciate its ability to streamline meeting processes and improve team collaboration. However, the effectiveness of the app may vary depending on the specific needs and dynamics of the team using it.

Why this product is good

  • Fellow.app is a tool designed to enhance meeting productivity through features such as collaborative agendas, meeting notes, and action item tracking. It aims to facilitate better communication and follow-up by allowing teams to document discussions, decisions, and tasks effectively. It integrates with popular communication tools and fosters a culture of accountability and transparency.

Recommended for

    Fellow.app is recommended for teams and organizations looking to improve their meeting efficiency and effectiveness. It is particularly suited for managers, team leaders, and project coordinators who need a structured way to organize and follow up on meeting content and outcomes. Companies that often conduct remote meetings or have distributed teams may find the app especially beneficial.

Overall verdict

  • I don't have verified, specific information about ContextForge.dev, so I can't confirm its quality, features, or reputation with confidence. It may be a legitimate niche developer tool, but you should independently verify it before relying on it.

Why this product is good

  • I have no reliable data on this specific domain's product, pricing, reviews, or track record
  • The name suggests it may relate to 'context' management for AI/LLM development, but this is speculative
  • Unverified tools can carry risks around data security, support quality, and long-term viability
  • Small or new dev tool sites can be legitimate but lack the review history needed for a confident assessment

Recommended for

  • Users who independently research and verify the site's legitimacy first
  • Developers curious about niche AI/context-management tools who are comfortable testing new services
  • Not recommended for critical production use without due diligence, given the lack of verifiable information

Videos

Walkthroughs and reviews on video.

Fellow.app 2 videos + Add
ContextForge.dev 3 videos + Add

Fellow 4.5 Product Launch | April 2024

More videos

  • - Fellow AI Meeting Copilot

How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)

More videos

  • - Schedule AI Prompts on a Cron with ContextForge Routines
  • - Your AI Assistant Forgets Everything — Here's the Fix MCP Memory

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Fellow.app
ContextForge.dev
97% 97%
3% 3%
0% 0%
100% 100%
100% 100%
0% 0%
100% 100%
0% 0%

Questions & Answers

As answered by people managing Fellow.app and ContextForge.dev.

What makes your product unique?

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

Why should a person choose your product over its competitors?

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

How would you describe the primary audience of your product?

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

What's the story behind your product?

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

Which are the primary technologies used for building your product?

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.

User comments

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Reviews and articles

External articles and on-site reviews we used to compare the two products.

Fellow.app no reviews yet
ContextForge.dev no reviews yet

We have no reviews of ContextForge.dev yet. Be the first one to post

Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

Fellow.app 2 mentions
ContextForge.dev 2 mentions
  • Launch HN: Hypercontext (YC S21) – Meeting notes+actions+feedback+okrs, one app
    Looks a bit similar to Fellow.app (https://fellow.app), but I'm glad there's more choices/competition in this space (good for innovation and for users). - Source: Hacker News / over 5 years ago
  • Launch HN: Hera (YC S21) – macOS app to prepare, join and take notes in meetings
    You're entering a pretty crowded market. Have you taken a look at Fellow? https://fellow.app/ Just trying to figure out what makes this product better than the hundreds out there. - Source: Hacker News / over 5 years ago
  • Shared Memory for Multiple AI Coding Agents (What They Already Share, and What They Don't)
    Init links the folder to a project, so every agent working in that repo reads and writes the same memory, and it adds the rules that make sessions check who else is live before big changes. For Cursor, Copilot, Claude Desktop and... - Source: dev.to / 16 days ago
  • Why AI Coding Agents Contradict Earlier Decisions (and How to Stop It)
    I built ContextForge because I was losing this argument with my own agents several times a week. The idea is small: when we decide something, the agent saves the decision with the reason, in the project's memory. The next session, in... - Source: dev.to / about 1 month ago

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