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Why ekoDB / Agents
The backend that builds itself
Chat with an agent, describe what you want, and it designs and builds the backend for you, running directly on ekoDB with almost no setup to get started.
Getting started
From nothing to chatting with your agent in minutes
Most agent setups mean self-hosting on your own hardware or wiring together a runtime yourself. ekoDB's agent server is managed: download a client and click through a few steps.
Spin up an agent server
Fully managed. Put it in the same region as the database server it will work with.
Download a client
Desktop app or terminal client, whichever fits how you work.
Connect your account and servers
Pick the database server the agent works on, and the agent server that runs it.
Add your model key
Bring your own OpenAI, Anthropic, or Gemini key. It stays server-side.
Create an agent and start chatting
Configure it and start working. One agent server can host many agents.
What your agents can do
Real capability, not a chat wrapper
Designs and builds your backend
Describe what you need. Your agent proposes and creates schemas, server-side functions, and the structures behind them.
Manages and scales deployments
Monitors, tunes, and scales what you have running, within the limits you set.
Chats with your data
Answers questions from your own collections using native RAG and vector search, with no separate pipeline to build.
Works toward goals and schedules
Real workflows rather than one-off prompts: routine maintenance, testing, and more, running on their own.
Comes with built-in tools
File operations, web search, HTTP fetch, persistent memory, and reusable templates, out of the box.
Tunes and debugs itself
Explains slow queries, spots a missing index and creates it, and reads server logs to find problems. Tuning that usually needs a specialist happens in the conversation.
Built for real backends
Built for production, not just a demo
Purpose-built for the platform it runs on
There are some genuinely impressive tools that let you chat with an AI and get a working app in minutes. What they build on, though, is a generic backend that was never meant to carry a production enterprise system, so they are excellent for a fast prototype and hit a ceiling once real complexity, scale, or governance requirements arrive.
ekoDB's agents are built for the platform they run on, and know its data engine, schemas, and functions directly. Going from pilot to production means growing what you already have rather than migrating off the foundation you started on. We are not there for every use case yet, but that is the direction we are building in.
Model agnostic
Bring the model you already trust
Your agents are not tied to one provider. Connect your own key and pick from a wide range of models.
Two ways to use them
For your team or your customers
An in-house dev and ops assistant
Run agents for your own team, to build, maintain, monitor, and support your deployment day to day.
Embedded, customer-facing agents
Deploy an agent inside your own product so your customers can chat with your data directly.
Control model
Automation with control
ekoDB does the repetitive backend work and proposes changes. You keep the decisions that matter, with explicit approval before anything reaches production.
Agentic automation
- Proposes schemas, APIs, and function scaffolding
- Suggests and applies index and query tuning
- Runs scheduled operational tasks
- Explains slow queries and surfaces hot data
Human governance
- Data model constraints and access permissions
- Approval gates before production changes
- Tool permissions and server-side keys
- Deployment region, machine tier, and environment policy
Frequently asked questions
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