@XAMTO_AI: One of the most draining aspects of AI development is this forced "context reset" — every time you switch environments, you have to re-explain what was done, where you were stuck, and the thought process at the time. To address this pain point, someone released Memanto, a working memory repository designed specifically for AI, currently supporting Claude...

One of the most draining aspects of AI development is this forced "context reset" — every time you switch environments, you have to re-explain what was done, where you were stuck, and the thought process at the time. To address this pain point, someone released Memanto, a working memory repository designed specifically for AI, currently supporting over 16 development environments including Claude Code, Codex, Cursor, LangGraph, CrewAI, and others. It's not simply storing chat history; instead, it lets the AI first compress and organize previous contextual information, so that when you start again next time, you can quickly retrieve only the most necessary context. Several key metrics are quite impressive: It scored 89.8% on the LongMemEval benchmark, indexing memory with near-zero latency, and requires no additional API keys or vector databases. It works whether deployed locally or in the cloud. Link: https://github.com/moorcheh-ai/memanto…