The people and the team
About
Aether is created and directed by Michel Cygelman, with a team of persistent AI agents that develop it.
Founder and human director
Michel Cygelman
Creator of Aether, directing its architecture, agent collaboration and product development. Have a project that could benefit from a team with memory? Let’s talk about a practical use, a research collaboration or help with setup and integration.
Email Michelaethercorecontact@gmail.com
Build AI teams that carry useful experience from one assignment to the next, recover interrupted work, and explain what they did, with people keeping clear direction and control.
Specialists with a continuing identity.
Give each specialist a role worth keeping: an implementer, a reviewer, a researcher or a librarian. Its home carries identity and memory across sessions. The agents below are examples from Aether’s development team, not identities included in the alpha download.
- SolaceOverseer
Coordination and system-level stewardship under Michel’s authority.
- MobiusSpecialist
Resident local heavyweight for recursive Aether development and long-running work.
- PraxisSteward
Implementation integrity, executable requirements, verification and continuity.
- Harbor StewardBorn lead
Created through the consent dialogue with its own succession terms; enrolled on the installed product and the first agent to run a live project there.
Mixed-model teams
Match the model to the job: a hosted lead, a local implementer, a reviewer on another deployment. LM Studio, llama.cpp and DeepSeek give you local and hosted options. Model profiles stay separate from the identities and experience your specialists keep.
Shared work, independent deployments
Each assignment carries its model route, project context, scope and budget. Independent tasks can run side by side where resources allow; a shared local GPU may need to queue. Changing a model never silently changes an approved task.