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THE SEMANTIC STATE LAYER FOR AI

Learn once.Remember forever.

Coyra is the context backbone for agentic work. The human sets direction, the AI does the work, and Coyra keeps the project's understanding current, structured, and continuous across sessions, models, and agents.

What the work teaches stays with the project.
  1. Conversation / work
  2. Fold
  3. Semantic project state
  4. Future AI / agent

02 · The context problem

The work continues.
The context needs to follow.

When AI works without durable context, it can repeat earlier analysis, contradict a decision, or drift from the goal. Long projects span more than one conversation, model, or agent.

Rebuilding context takes effort. Handwritten documentation can go stale without anyone noticing, and separate conversations do not naturally share one project truth.

Context windows are temporary. Project knowledge shouldn't be.

03 · Semantic State

Keep the understanding.
Carry it forward.

Instead of preserving the conversation, Coyra preserves what the conversation means.

Your AI interprets the work. Coyra keeps the resulting project understanding structured, versioned, and available for what comes next.

  1. Fragmented context
  2. Semantic interpretation
  3. Canonical project state
  4. Minimum sufficient context

04 · SSC / SMR / SSR

A cycle that keeps the project current.

SSC · Semantic State Cycle

The complete lifecycle: retrieve context, do the work, and integrate what changed into project understanding.

SMR · Semantic Map Retrieval

Retrieves the minimum sufficient context for the work ahead.

SSR · Semantic State Reconciliation

Integrates resulting knowledge back into canonical project state.

The Semantic State Cycle repeats with each round of work.
  1. Semantic State
  2. SMR
  3. AI Work
  4. SSR
  5. Semantic State
A proprietary semantic lifecycle for persistent, token-efficient AI context.

05 · Context efficiency

Maximum understanding.
Minimum tokens.

Start from the project understanding the work needs. Relevant, structured context gives AI a basis for action without carrying every conversation into every request.

The aim is sufficient understanding with less unnecessary context, while preserving the decisions that matter.

06 · Continuity

Pick up the project.
Keep the thread.

One project state. Any AI.

A new session or a different compatible AI can work from the same evolving project understanding. The decisions stay with the project.

Shared context across compatible clients
  1. Claude · Codex · ChatGPT · other compatible AI · future API clients
  2. Coyra
  3. Shared project state

07 · Project overview and progress

See where the project stands.

Follow what is being worked on, what is finished, and what needs your attention. The project overview brings progress and decisions into view so you can set the next direction.

Explore the product →

08 · Use cases

For work that lasts beyond a conversation.

Software development

Keep implementation decisions and project context available as AI builds and changes software.

Product strategy

Carry goals, tradeoffs, and product decisions into the next round of work.

Marketing

Keep positioning, audience understanding, and campaign decisions connected across sessions.

Sales

Give ongoing account and proposal work a consistent understanding of goals and decisions.

Research

Retain findings and the reasoning behind them as the investigation develops.

Consulting

Keep each engagement’s understanding continuous across analysis, recommendations, and delivery.

Operations

Carry process knowledge and operational decisions forward as work changes.

09 · Pricing

Start with a project.
Build from there.

See full pricing →

Free — $0

Evaluation and solo use.

Pro — $10/month

Individual professional use.

10 · Articles

More on working with lasting context.

No articles have been published yet. This will be a place to learn about project continuity and work with AI.

Visit Articles →

11 · Start with Coyra

Give the next session
a project to remember.

Start free