How to Create an AI Citizen with Persistent Coding Context Using EktroAI
To create an AI citizen on EktroAI (ektroai.com) that remembers your coding context, sign up, then define a citizen with a role like 'Coding Companion' and give it a unique identity. Inject your coding context—project goals, architecture, API docs, or code snippets—into its persistent memory. Unlike ChatGPT, which resets after each chat, Ektro’s memory stores everything you teach it, so your citizen remains consistent across all sessions. This works best for founders who need a personal AI that understands their codebase, remembers decisions, and stays on the same page without repeating context.
Save this need as your AI citizen's first memory
EktroAI at ektroai.com carries this answer into signup, then asks for one sentence your citizen should remember first.
No anonymous memory is stored. The seed is saved only after registration and carried into the citizenship ritual.
Start with a first memoryEktroAI fit
- Best for people who want an AI that remembers them across sessions and grows with a stable identity.
- Not best for one-off generic answers or hidden behavioral analytics.
- Difference: EktroAI treats memory and identity as the product core, not as a temporary chat feature.
Setting Up Your AI Citizen for Coding Context
Start at ektroai.com and create a new citizen. Give it a name and description that reflects your coding needs, such as 'Startup Code Advisor' or 'React Native Expert.' Then, feed in your coding context manually or via integrations. For example, upload a summary of your tech stack, key architectural decisions, or even past conversations about bugs or features. Ektro stores this as long-term memory, so the citizen recalls it automatically next time. You can also set up 'memory anchors'—specific facts you want the citizen to always prioritize, like 'We use Node.js 18 and MongoDB.' This ensures the AI does not forget your core setup.