AI-MEMORY is the premiere Long-term memory for AI coding agents. Quit Claude Code…
This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.
AI-MEMORY is the premiere Long-term memory for AI coding agents. Quit Claude Code mid-task, start Codex in the same directory, continue without re-explaining the architecture, the failed approaches, or the open questions. With proper memory consolidation, Wiki-based documentation accessible to your team. Multi-user support for shared memory and much more. It support all main harnesses, all operating systems. Run stand-alone in your machine for single-user, run self-hosted for your team, all open source, no shady cloud-backing necessary: you own your knowledge. This project is constantly moni
Posted by Fabio Makita (91.5k followers) 20 h ago · 302 likes · 31k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: ai-memory.
More dev work like this
- Need a second model for a Codex subtask — without changing your controller? — @DanKornas
- This will never get old. — @blizaine
- We reverse-engineered Instinct's memory system and implemented it with supermemory's… — @supermemory
- Grok @bot is now my personal app developer. It’s bringing my 6 year old iOS code up to… — @IowaTesla
- You can run locally Google's Nano Banano 2 level Image model Qwen-Image-2.1 on RTX 3090… — @0x0SojalSec
- Qwen just released Qwen-Image-2.1, and this is exactly why open models matter. — @aijoey
- Hahaha sooo cool.. have intermittent but continuous context compaction working.. that… — @u1tra_instinct
- When the cost of error is high, trust is everything. — @github
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 16.1k posts from 4.9k X accounts over the last 21 days, 1.8k tools, 12 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-20 19:24 UTC. Full method.