
Amurex
Open-source AI assistant that unifies knowledge search and meeting workflows.
Amurex is an open-source AI copilot designed to live in the background of your existing tools. It unifies knowledge search across connected apps and automates meeting capture and follow-up tasks. It can be self-hosted for data control and privacy.
Key Features
- Unified search across connected apps (Notion, Google Drive, Obsidian, and more)
- Meetings on Autopilot: records, transcribes, summarizes, and tracks action items
- Inbox categorization and email prioritization
- Self-hosted, open-source architecture for data control
- Local-mode/inference options (Ollama) with flexible AI backends (OpenAI, Groq, Mistral)
Use Cases
- Personal knowledge management: search across notes, docs, and sources from multiple tools
- Meeting automation: capture transcripts, generate summaries, and assign follow-ups
- Email triage and workflow orchestration within your existing toolchain
Limitations and Considerations
- Requires self-hosted backend and proper API keys (OpenAI, Groq, etc.) to run online or LOCAL mode for local inference
- Setup can be complex: involves Supabase/PostgreSQL, Redis, and containerized services
- Local inference requires Ollama and related local dependencies
- Open-source licensing (AGPL-3.0) and data residency depend on how you deploy
Conclusion Amurex combines cross-tool search with automated meeting workflows in a privacy-conscious, open-source package and supports flexible self-hosted deployments. It is actively developed with multiple AI backends and deployment options to suit professional workflows.
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Redis
Uvicorn
Docker
Python runtime