
Appliku
Coolify
DigitalOcean
Zeabur
Netlify
Flightcontrol.dev
Heroku
Pulumi
Supermemory
Mem
Mem0
OpenMemory
Mengram
Unabyss
Notion
Pieces for Developers
Appliku is the managed Heroku alternative for teams that want to own their infrastructure.
Deploy Django, Python, Rails, and Node apps to a server you own, on any cloud, with the same push-to-deploy workflow you'd get from a hosted platform.
Connect a GitHub or GitLab repo and Appliku handles the rest: Docker builds, Nginx, automatic SSL via Let's Encrypt, managed PostgreSQL and Redis, and background workers (Celery). Every git push ships with zero-downtime restarts.
Appliku
SupermemoryNo features have been listed yet.
No Supermemory videos yet. You could help us improve this page by suggesting one.
Appliku's answer
Against hosted platforms like Heroku, Render, Fly.io, and Railway, you keep control of cost and avoid lock-in because you own the server and pay your cloud provider directly, and your apps stay always on with no cold starts. Against self-hosted open-source tools like Coolify, Dokku, and Kamal, Appliku manages the platform and the server for you, so patching, backups, and deploys never become your job, and there is no control panel of ours running on your server. Support is direct and fast, often from the founder, and on any paid plan we migrate your first app live.
Appliku's answer
Appliku gives you the Heroku experience, git push to deploy, managed databases, automatic SSL, on a server you own instead of a platform you rent. You bring your own cloud account (DigitalOcean, AWS, Hetzner, or any VPS) and Appliku fully manages that server for you: setup, updates, and keeping it healthy. You get hosted-platform convenience without the hosted-platform cost, the lock-in, or the job of managing servers yourself.
Appliku's answer
Django and Python teams, agencies, and technical founders who want to deploy and run web apps on servers they own without managing those servers themselves. It ranges from solo developers and early-stage startups to small and mid-size engineering teams, and it is an especially strong fit for teams leaving Heroku who want the same push-to-deploy workflow at a lower cost. FastAPI, Rails, and Next.js are supported too.
Appliku's answer
Appliku started in 2019 to solve a problem its founder kept running into: developers love how easy Heroku makes deployment but dislike the cost and the lock-in, while going the do-it-yourself route on a raw VPS means taking on server management they never wanted. Appliku bridges the two: the push-to-deploy simplicity of a hosted platform, on infrastructure you own and control, with the servers fully managed for you.
Appliku's answer
Appliku is built with Python and Django, using Django REST Framework for its API and Celery for background and scheduled tasks, backed by PostgreSQL and Redis. It runs in Docker on Linux. Appliku deploys and hosts itself using Appliku, on a server we own, so the platform runs on exactly the same stack and workflow we give our customers.
Makes it easy to deploy without binding you to some start-up-company servers. All hosted on Amazon in my case.
Based on our record, Appliku seems to be a lot more popular than Supermemory. While we know about 54 links to Appliku, we've tracked only 4 mentions of Supermemory. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Unfortunately, this is the main downside of choosing Django over other options targeted at personal websites. With Blaze.horse, Iโve tried to set you up for an easy time, but itโs still fiddlier than it ought to be. There are some up-and-coming projects that give me hope, such as Button and Appliku, but Iโm personally happy with Fly for now. - Source: dev.to / almost 2 years ago
Also you can watch logs for current processes without logging into SSH. Check it out: https://appliku.com. Source: over 2 years ago
I'm using https://appliku.com/ for my deployments. They have a free tier and it set's up everything for you but you need to be using docker. Source: about 3 years ago
For 4 years I am grinding on making the best deployment tool for python/Django apps. Still excited about it :) https://appliku.com. Source: about 3 years ago
We at https://appliku.com went with NextJS + DRF (drf-spectacular, open api codegen) and it is amazing. Source: over 3 years ago
This is usually a challenge that any developer has to take care of when building an AI agent. In fact, managing the context is one of the hardest problems when working with AI agents and there are many companies like SuperMemory, Mem0 which have invested both resources and time to solve this problem. - Source: dev.to / 19 days ago
Memory. I use Supermemory for this. Before, Pipa loaded context files and knew to update them. A memory tool adds teammate-like recall: goals, preferences, latest business state, and small details that should carry across runs. Good memory tools also know how to supersede and delete memories, which matters once the agent has more autonomy. - Source: dev.to / about 2 months ago
We wire everything up with Vision Agents as the voice agent framework, Stream for WebRTC audio and video, OpenAI Realtime for speech in and speech out, Anam so the agent shows up as a face on the video, and Supermemory so answers come from search over your uploaded documents instead of guesswork. The code stays small and most of the behavior lives in one registered function that asks the memory store for relevant... - Source: dev.to / 3 months ago
My friends and I are working on https://supermemory.ai, an AI second brain to help you remember content from saved webpages and notes. - Source: Hacker News / almost 2 years ago
Coolify - An open-source, hassle-free, self-hostable Heroku & Netlify alternative.
Mem - Capture and access information from anywhere
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
Mem0 - Your private, local memory layer for all AI tools
Zeabur - Deploy painlessly and scale infinitely with just one click
OpenMemory - Give AI agents long-term memory.