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the modern spam protection

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, ContextForge.dev seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | mosparo.io | contextforge.dev |
| Pricing | ||
| Platforms | ||
| Company | 2023 | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


What is mosparo? mosparo is the modern solution for protecting your online forms from spam. The protection method is quite simple: mosparo blocks spam using rules matching the form’s data. The detection method is comparable to an e-mail spam filter. Usable by everybody This modern spam protection...
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.


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


No analysis of mosparo yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
A short explanation about mosparo and how it works.
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 mosparo and ContextForge.dev.
mosparo's answer
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.
mosparo's answer
Our audience is everybody with a website and a form on the website. Spam bots don't care about what kind of form you have; they like to spam you anyway.
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.
mosparo's answer
mosparo is
and a lot more...
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.
mosparo's answer
mosparo was founded in May 2021. We needed spam protection for a form on the homepage of a website. Because of data privacy, we wanted a self-hosted solution. So we started to search for spam protection solutions. While there are some solutions, a lot of these solutions use either a puzzle to recognize humans or are built into a system and are not available everywhere.
After some more research, we found that these puzzle solutions do not work for people with disabilities and are, therefore, not accessible. Today, every website should be accessible – but when you have a form, you must decide between accessibility, data privacy, and spam.
Because of this experience, we started to think about a new spam protection system that solves the problems with accessibility and data privacy and is free to use and installable on every regular web hosting.
mosparo – the modern spam protection – was born.
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.
mosparo's answer
The combination of a self-hosted, accessible, and free-to-use solution is not available from other software.
There are a lot of hosted solutions. Some of them are accessible, some not. Some are free, some not. There are also a lot of self-hosted solutions, but they usually use non-accessible methods like guessing characters or icons.
A solution that is accessible, free-to-use, self-hosted, and data-saving is pretty 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.
Share your experience with using mosparo and ContextForge.dev. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking mosparo since Jan 2023.
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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