The Meeting Knowledge Assistant (MKA) is an AI-assisted desktop application that records meetings, creates high-quality transcripts and transforms them into structured knowledge.

Unlike traditional meeting assistants, MKA does not aim to replace human interaction during meetings. Its goal is to create an accurate, searchable and long-term knowledge base from spoken communication.

The project follows an "AI-first" architecture:

Audio → Transcription → Speaker Identification → AI Analysis → Structured Knowledge → Search

Core Features

Local audio recording
System audio + microphone recording
High quality transcription
Speaker diarization
AI-generated meeting minutes
Executive Summary
Action Items
Decision Tracking
Knowledge extraction
Local database
Full text search
Export (Markdown, PDF, DOCX)

Design Goals

High transcription quality
Modular architecture
Offline-first whenever practical
Replaceable AI components
Vendor independence
Long-term maintainability

Philosophy

The transcript is the primary asset.

Everything else (summaries, reports, action items, knowledge extraction) can always be regenerated using better AI models in the future.

Therefore:

Audio → Transcript is considered immutable.

AI output is considered reproducible.

Planned Architecture

Recorder ↓ Transcription ↓ Speaker Identification ↓ LLM Processing ↓ Knowledge Database ↓ Export

Current Status

Project planning.

No implementation has started yet.