
Workable
Breezy.hr
Lever
LinkedIn Recruiter
Recruitee
Jobvite
SmartRecruiters
Greenhouse Software makes companies great at hiring.

Agentmemory
Mem0
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.

Which is more popular?
Based on our record, Greenhouse should be more popular than ContextForge.dev. It has been mentioned 4 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | greenhouse.com | contextforge.dev |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of Greenhouse yet.
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...
What each product offers, as listed by its team.


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


Overall verdict
Why this product is good
Recommended for
Greenhouse is recommended for small to large enterprises that prioritize a collaborative hiring process and need a reliable ATS to manage their recruitment pipeline effectively. It's especially beneficial for companies with high-volume hiring needs or those looking to integrate their ATS with other HR and recruitment tools.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
✅Greenhouse: Best Greenhouse (Buying Guide)
More videos
How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Greenhouse and ContextForge.dev.
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.
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.
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.
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.
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.
Share your experience with using Greenhouse and ContextForge.dev. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


The down-market exit. Breezy is what most documented Greenhouse leavers actually chose in my evidence log, and after running a real role through it I can see why: a drag-and-drop pipeline a hiring manager understands...
I only score tools I’ve run with my own account, so this list splits in two. Breezy HR, Manatal and now Tellent carry tested verdicts from their own hands-on reviews; the process is documented in how WiserStaff tests...
The step up rather than the step sideways: structured interview kits, scorecards and hiring analytics built for a dedicated talent function. It’s the name that kept appearing alongside Workable in the real buyer...
We have no reviews of ContextForge.dev yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


I applied a ton on LinkedIn and reached out to recruiters through there. greenhouse.io is also a good one. Otherwise, Google is your best friend, and I'd hand pick positions that make you apply directly on the company website rather than... Source: about 4 years ago
It's insane how shit some of these application forms are. Why can't every company have something like greenhouse.io so I don't have to make a fucking account to send you my resume and then fill out a bunch of the same info anyway. Source: about 4 years ago
Many jobs use services like greenhouse.io to post their jobs, and each job posting has an application form right on the listing. I'm applying to several companies where I'd be happy in several different positions (e.g. SWE on team X, SWE... Source: over 4 years ago
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
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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