Your coding agents accumulate months of valuable context in local conversation history. When you switch agents or start fresh, that context is lost.
The import tool reads history from your coding agent(s) and sends it to Audaxic Memory.
Details:
https://t.co/aqvOJgyETu
Audaxic memory is the cheapest memory layer. You can start for Free.
You can change your plan to a paid plan whenever you want, or you can just continue free.
I have published a Claude Code plugin for Audaxic Memory, it automatically save conversation facts and retrieve them when needed.
Get an API key on: https://t.co/uVyNZcdcTM
Install Plugin:
https://t.co/YsrXNHQXyV
Using Audaxic Memory can be a solution. Everyone can start for free. No credit card required.
For Codex, I recommend using the Codex plugin of Audaxic Memory instead of MCP.
I encountered an error on our status page and used DeepSeek V4 Flash to debug. First time using it. My impression is very good, especially considering the cost.
I have published a Codex plugin for Audaxic Memory, it automatically save conversation facts and retrieve them when needed. No MCP needed, only plugin.
Get an API key on https://t.co/uVyNZcdcTM
Install MCP and Plugin:
https://t.co/NhLYBEPFxc
Science and engineering are often more amazing than magic.
They built a model that's just as intelligent but cheaper. That's fantastic engineering.
I'm offering the same system as Mem0 at up to 50% off. That's also engineering.
🚨 DeepSeek V4 Flash GA is coming and the numbers are absurd.
DeepSWE: 7.3 ➡️ 54.4. That's 7.5x over the preview 🤯
Cybergym: 38.7 ➡️ 76.7
AutomationBench: 10.8 ➡️ 25.1
And it beats GLM-5.2 on all 8 shared benchmarks 🧹
This could REPLACE GLM 5.2 on my 4 Sparks and Instead Run 2 Instances of it !
🚀 DeepSeek-V4-Flash Official API is now LIVE in public beta!
🔷 We’ve massively upgraded its Agent capabilities—benchmark scores are now far surpassing the V4-Pro-Preview. Check out the massive performance leap below! 👇
🔷 The official V4-Flash now natively supports the Responses API format and is fully adapted for Codex!
Check out the configuration details in our official API docs: https://t.co/smCwQZMeiq