Operating Specifications
Portable, versioned definitions of how AI-enabled work should operate across signals, context, decisions, governance, execution, evidence, and outcomes.
Aegora gives developers a model for building capabilities, operating assets, and runtime integrations that can be governed, tested, versioned, reused, and deployed across enterprise environments.
The goal is not to replace full software-development environments. The goal is to give enterprise execution a durable contract for how governed work should run.
The platform focuses on governed operating assets rather than generic coding surfaces.
These artifacts connect design, build, deployment, runtime, and marketplace distribution.
Portable, versioned definitions of how AI-enabled work should operate across signals, context, decisions, governance, execution, evidence, and outcomes.
Reusable governed execution units with manifests, schemas, security expectations, runtime requirements, tests, and marketplace metadata.
Governed runtime assets that bind enterprise context, policy, approvals, capabilities, humans, and systems into one accountable execution model.
Connectors, APIs, LLMs, scripts, human tasks, and enterprise systems should participate through explicit contracts, permissions, evidence rules, and policy controls rather than bypassing the operating model.
Use Aegora Studio to define the path, package execution units through Developer Studio, and operate them in Runtime under policy and evidence controls.