MainMemory, a memcached clone and generic server framework
Wannabe Main Memory Database and More. Contribute to ademakov/MainMemory development by creating an account on GitHub.
MainMemory, a memcached clone and generic server framework launched on January 11, 2016 with 7 votes and more than 50% of that year's launches. The site was still online in September 2026, 10 years on.
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MainMemory – Wannabe Main Memory Database and More2017 · github.com · ▲21Wannabe Main Memory Database and More. Contribute to ademakov/MainMemory development by creating an account on GitHub.
I open-sourced the in-memory PostgreSQL I built at work for E2E tests2024 · github.com · ▲379In-memory Postgres for unit/E2E tests. Contribute to hexclave/pgmock development by creating an account on GitHub.

Supermemory2024 · supermemory.ai · ▲689Claude Code forgets your preferences and codebase every session. Here
Mem0 – open-source Memory Layer for AI apps2024 · github.com · ▲201Hey HN! We're Taranjeet and Deshraj, the founders of Mem0 (https://mem0.ai). Mem0 adds a stateful memory layer to AI applications, allowing them to remember user interactions, preferences, and context over time. This enables AI apps to deliver increasingly personalized and intelligent experiences that evolve with every interaction. There’s a demo video at https://youtu.be/VtRuBCTZL1o and a playground to try out at https://app.mem0.ai/playground. You'll need to sign up to use the playground – this helps ensure responses are more tailored to you by…
Sub-millisecond VM sandboxes using CoW memory forkingMar 2026 · github.com · ▲311I wanted to see how fast an isolated code sandbox could start if I never had to boot a fresh VM. So instead of launching a new microVM per execution, I boot Firecracker once with Python and numpy already loaded, then snapshot the full VM state. Every execution after that creates a new KVM VM backed by a `MAP_PRIVATE` mapping of the snapshot memory, so Linux gives me copy-on-write pages automatically. That means each sandbox starts from an already-running Python process inside a real VM, runs the code, and exits. These are real KVM VMs, not containers: separate guest kernel, separate guest…
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