Seeking Partner/Co-Founder + Devs — AIMED: editable, visual project memory (Glass-Box Context) for AI coding assistants (MCP)

Dec '25 (edited) • Hire Me / Looking For Work 💸

I built AIMED (AI Monitoring and Execution Dashboard): an MCP server + web dashboard that turns an AI coding assistant’s “memory” from a black box into a glass box you can inspect and edit.

Problem:

Most “chat with your codebase” / RAG tools are effectively read-only. You can’t clearly see what the assistant is using as context, and when it gets something wrong (hallucinates a dependency, misreads an architecture decision, repeats a bad pattern), you’re stuck retrying prompts and hoping retrieval improves.

The difference:

AIMED treats AI memory as a read-write project document you control.

• See the brain: visualize what context exists and how it’s connected (decisions, progress, patterns, custom data)

• Edit the brain: correct the project “truth” directly, so the next run uses the corrected context

• Manage, don’t guess: it’s like an admin panel / debugger for your AI’s context

What it is:

• MCP server (Python) + web UI (Next.js)

• Knowledge graph, searchable project memory, and CRUD for decisions/progress/patterns/custom data entries

• Focused on context control, token efficiency, and multi-workspace isolation

Status:

Working MVP.

What I’m looking for: