AGPL-3.0 · Open Source

seitiate

Open infrastructure for AI that remembers how work actually happens.

Whether you are building coding tools, research workflows, or custom agent systems, the default pattern is the same: each session starts cold. Seitiate provides a durable layer for continuity, reusable capabilities, review, and portability so useful work can accumulate instead of resetting.

View architecture View on GitHub
Install — 60 secs to first value
pip install seitiate
seitiate init
# Want the source?
git clone https://github.com/seitiate/seitiate.git

Coding copilots

Pain: useful context lives in short-lived chats, scratch notes, and habits that never become system memory.
Seitiate gives AI-assisted work a durable layer for continuity, reusable capability packaging, and reviewable outputs.

Creative and research tools

Pain: systems can generate quickly but struggle to preserve decisions, standards, and project continuity over time.
Seitiate makes prior sources, prior work, and human choices reusable so later sessions begin with context instead of guesswork.

Custom stacks

Pain: teams can assemble prompts, tools, and models, but the resulting system is brittle, provider-bound, and hard to govern.
Seitiate adds an open layer for memory, capability composition, governance, and portability across models and deployments.

What changes when your AI remembers

Session 1
seitiate ask "write an intro for my video essay on memory"
Competent, but generic.
No awareness of the source material you trust, the choices you made last week, or the patterns you keep rejecting.
Session 50
seitiate ask "write an intro for my video essay on memory"
Starts from prior sources, accepted patterns, and earlier decisions. The work feels like a continuation of an existing practice instead of another cold start.
The difference is not just a better prompt. It is continuity.

What Seitiate provides

Seitiate is an open engine for building AI systems that can preserve useful context, package reusable capabilities, support review, and remain portable over time. It is designed for systems that need more than one-shot prompting.

The engine is intentionally model-agnostic and product-agnostic. Different products can sit on top of it, but the core responsibilities stay the same: remember what matters, make useful work reusable, and keep people in control of consequential outputs.

Start with pip install seitiate or explore the public architecture page for the system-level overview.

Public architecture at a glance

These are the public-facing responsibilities of the engine. The detailed implementation story lives in the repo, not on the marketing site.

• Durable memory

Seitiate preserves useful context from sources, prior work, and human decisions so later sessions can continue instead of restart.

• Capability composition

Reusable capabilities can be packaged, shared, and combined into larger flows rather than remaining one-off prompt fragments.

• Human-guided adaptation

The engine improves through real choices, corrections, and approvals instead of assuming every model output should be treated as final.

• Governance and review

Consequential work can be routed through explicit checks, policies, and review steps so quality and accountability stay visible.

• Portability

Seitiate is designed to stay useful across interfaces, products, and model providers rather than locking the whole system to one stack.

• Open engine boundary

The engine can power multiple experiences. Managed products may add workflow design and hosting, but the core memory and capability layer remains open.

Design principles

Continuity matters more than novelty

The goal is not another isolated AI moment. The goal is a system that improves because it can carry useful context forward.

Humans stay in charge of consequential work

AI can explore, suggest, and accelerate, but meaningful actions should remain reviewable and accountable to human judgment.

Reusable capabilities beat one-off prompting

Systems become more valuable when useful workflows can be packaged, improved, and reused instead of rediscovered in every session.

Open boundaries keep systems resilient

An engine should outlast any one model provider, interface choice, or deployment arrangement. Portability is part of the architecture.

Products can differ without locking the engine

Managed experiences can add UX, hosting, and curation, but the engine layer should remain understandable, contributor-friendly, and portable.

Want the managed product experience?

sakme is a managed product built on Seitiate. It adds hosting, workflow design, and a product experience on top of the same underlying engine direction.

Visit sakme.ai →