Speaker Diarization vs fortemi

Real-time speaker diarization with automatic enrollment, transcription, and speaker tracking for multi-party conversations

Self-hosted AI knowledge base with hybrid semantic search (pgvector + FTS + RRF), MCP server, multi-provider LLM inference (Ollama, OpenAI, OpenRouter, llama.cpp), multimodal ingestion (vision, audio transcription, speaker diarization), and knowledge graph. Rust + PostgreSQL.

Models

MCP Servers

5

—

—

Python

—

MIT

—

—

—

46

1