
Convertfiles.ai
FFmpeg
Softorino π»π²
Compresto
CloudConvert
ConverterLizard
FileConverter.digital
Common Conversion in One Place

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 | uni-convert.com | contextforge.dev |
| Pricing | ||
| Platforms | β | |
| Company | Startup from Malaysia Β· 1 - 9 employees Β· 2025 | Startup from the United States Β· 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


Convert units, text, colors, files, and more with UniConvert β your fast, accurate, and easy-to-use online conversion tool.
ContextForge is persistent, searchable memory for AI coding agents β 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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How to Make Claude Run Automated Workflows (ContextForge Skills Tutorial)
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How often each product is chosen within a category, 0β100% relative to the other.


As answered by people managing UniConvert and ContextForge.dev.
UniConvert's answer
UniConvert brings together dozens of everyday conversion tools into one clean and free to use experience. What sets it apart is that everything runs entirely in your browser β no data gets uploaded, and no personal info is collected. Itβs fast, private, and always free to use.
ContextForge.dev's answer:
ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once β Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf β 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 β all through a single MCP server you add with one command.
UniConvert's answer
Most converter tools are cluttered with ads, limit file sizes, or require uploads and tracking. UniConvert removes all of that friction. You get a wide range of converters (files, colors, dev tools, units, finance, health, etc.) in one tab β with full privacy, no tracking, and instant results.
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.
UniConvert's answer
UniConvert is made for everyday internet users β from students and developers to designers and travelers. Anyone who finds themselves googling βconvert JPG to PDFβ or βHEX to RGBβ will feel right at home. Itβs for people who value simplicity, speed, and privacy.
ContextForge.dev's answer:
Software developers and engineering teams who use AI coding assistants β Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf β 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.
UniConvert's answer
It started as a weekend side project when I got tired of opening five different sites just to convert files, colors, and basic units. Most had heavy ads, weird limits, or slow loading times. So I built something lightweight, secure, and snappy β a tool I personally wanted to use daily.
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 β so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.
UniConvert's answer
UniConvert is completely free and doesnβt require login, so we donβt track or store user identities. But over 600+ users visited in May 2025 alone β mostly from organic reach. Itβs used by developers, students, digital workers, and creators worldwide.
UniConvert's answer
UniConvert is built using Nuxt 3, Vue.js, and Tailwind CSS. Everything is client-side, so thereβs no backend or data storage involved β which helps keep it private and fast.
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 UniConvert 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 UniConvert since Jun 2025.
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 / 17 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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