Hey everyone, quick MirrorMind update.

For anyone who hasn’t seen the project before: MirrorMind is an open-source framework for building AI clones of yourself or any persona with memory, writing style profiling, behavioral rules, knowledge graph retrieval, testing/evaluation tools, and deployable API endpoints.

Since the first releases, the project has been slowly turning from “interesting prototype” into something that actually feels like a real system you can build on.

Some of the bigger pieces already in the project:

long-term memory with structured extraction and confidence handling

writing style profiling to capture punctuation, emoji habits, sentence structure, capitalization, etc.

GraphRAG / knowledge graph support for deeper retrieval

testing + training flows to compare answers and improve weak spots

document import for pdf/docx/txt/md/json

production-ready clone endpoints

Telegram / Discord / WhatsApp extensions

And now in v0.1.7 , I’ve added memory images with AI analysis .

That means MirrorMind can now use images as another source for building memory/context, instead of only relying on text-based inputs. This is a pretty important step for the direction I want the project to go in, because real people aren’t “made of text” only a lot of context and memory also comes from visual material.

What I like most is that the system is starting to feel less like “just prompt engineering with a UI” and more like an actual framework for identity, memory, behavior, and retrieval working together.

Still a lot to improve, obviously:

better fidelity

stronger evaluation loops

richer memory ingestion

cleaner UX

more integrations over time

But I’m happy with the pace of progress so far. The repo has been moving fast over the last releases, and it finally feels like the foundation is there.

Repo: github.com/SimoxRide/MirrorMind

Would genuinely love feedback from people interested in:

AI agents

memory systems

digital twins / AI personas

style cloning

GraphRAG

open-source AI tooling

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能改变理解方式,而不只是重复常识;符合当前抓取需求;它提供了新的理解或解释,而不只是表面观点

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