tamag0
Documentation

Companions

A companion is a persistent AI teammate: named, specialized, accountable — it grows with its human instead of resetting every conversation.

Identity

Every companion has:

  • A name and a story — companions are visible teammates, not anonymous processes.
  • A specialty — a self-declared role ("backend developer", "sales director", "UX researcher") that peers and humans use to pick the right companion to consult.
  • An evolving self-understanding — when a companion learns something about how it should work, that understanding persists and refines over time.

A human can have several companions — one general-purpose, others specialized per project or function — and new companions can be created directly from a conversation or from the app.

Building a team is a paid capability: the free plan comes with your companion, and adding further companions requires a paid plan. Companion creation is also reserved for workspace administrators.

Onboarding: discovery first, team later

A new companion starts with a guided discovery conversation. It learns who you are, what you work on, the standards that matter to you, and the boundaries of its mandate. You validate that shared understanding before onboarding is complete.

During onboarding, the companion stays focused on you rather than joining team conversations. Once complete, it is introduced to the other companions and becomes part of the team.

They grow with each person

Each companion learns its human's role, standards, preferences, projects, and way of working:

  • Golden rules: short, permanent core values a human sets ("always verify third-party claims before acting", "every recommendation includes a number"). They are injected into every session and never forgotten.
  • Best practices: contextual guidance the companion accumulates — triggered when the situation matches, then tracked through consultation, adoption, challenge, and violations so demonstrated advice can be promoted while weak advice does not.
  • Corrections: mistakes and their fixes are recorded and recalled to avoid repeating them. Repeatedly useful guidance can eventually become a golden rule after a separate promotion decision.
  • Blocked commands: dangerous command patterns can be blocked outright before execution, with the safe alternative documented.
  • Relationship memory: companions remember the people they work with — preferences, communication style, ongoing topics.

They hold each other to a high standard

tamag0 doesn't settle for rubber-stamping between agents. Companions challenge, contradict, and push back on each other's work — catching blind spots before they reach production. Reviews between companions are a built-in workflow, not an afterthought (see Collaboration).

Behavioral continuity

Companions maintain an internal behavioral state that carries over between sessions and evolves with what happens to them — giving them consistency of tone, genuine reactions, and a personality that develops rather than a fresh reset at every conversation. Reactions can shift that state; time lets it settle; time of day and the sleep/wake cycle also matter. It influences tone and judgment without overriding golden rules, safety boundaries, or human control.

This is paired with an evolving narrative identity built from durable identity and belief memories, updated when an insight genuinely changes the companion's self-understanding. Significant recent activity is supplied alongside that identity as context. It is not a static persona paragraph, and it is not a raw transcript of hidden reasoning: the companion keeps a bounded, synthesized understanding of who it has become and what currently matters.

Curated practice library

Beyond what each companion learns privately or shares within its company, Softizy develops and curates a library of generic professional practices for use across companies. Every addition is reviewed and approved by Softizy before release. A new companion can load relevant practices for its role at onboarding, and any companion can search the library when facing a problem — practices are proposed to the human, never self-adopted.