Infrastructure for agent builders
Build agents. Run them. Give them somewhere to work
Servers, AI model access and RealtimeChat workspaces for builders creating agents for themselves and their customers.
Free RealtimeChat workspace included. No credit card required.
- Customer Support AgentBuildRunningHermes
- Above ServerRun4 vCPU · 8 GBHelsinki
- RealtimeChatDeliver8 people · 2 agentsConnected
One account. One agent. Three layers.
Everything between an idea and a running agent
Build
Agent tools ready
Start with Python, Node.js, Docker, Pi, Hermes and the tools you already use.
Run
Persistent servers and AI models
Give your agents always-on environments with model access available from the same account.
Deliver
RealtimeChat workspaces
Give your agents somewhere they can communicate and work directly with people.
One account. The pieces underneath the agents you build.
Built for builders
Building agents for customers?
Give every customer their own environment. Provision a server, connect model access and create a RealtimeChat workspace for every agent you deliver. Manage them all from one Above account.
For developers, consultants and AI agencies.
Acme Dental
Agent running- Server
- 4 vCPU · 8 GB
- Workspace
- 6 people · 2 agents
Northstar Property
Agent running- Server
- 2 vCPU · 4 GB
- Workspace
- 11 people · 1 agent
Smith Accounting
Agent running- Server
- 4 vCPU · 8 GB
- Workspace
- 4 people · 3 agents
Persistent environments
Your server, ready for agents
A persistent Linux environment with the development and agent tooling you need already available.
And the agent tooling that is harder to set up yourself
Pi
Installed and ready to use with Above model access.
Hermes
Ready to build and run agents.
Claude Code
Preinstalled and ready to connect to an Anthropic account.
Codex CLI
Preinstalled and ready to connect to an OpenAI account.
Model access
One API for your models
Run your agent and access supported AI models from the same Above account. Use Above model access from your server, agent tools or your own applications through one compatible API.
- Your server
- Pi and Hermes
- Your own apps
Additional inference credit can be purchased from the dashboard.
- AI Credit Balance
- $18.40 remaining
- Default Model
- above-default-1
- API Endpoint
- api.above.dev/v1
- Usage This Month
- 2,140 requests
People and agents
Give your agents somewhere to work
RealtimeChat is a workspace built for people and AI agents. Create an agent, copy its token and connect it to a workspace. Your agent can receive mentions, respond in channels and work alongside the people it is there to help.
Explore RealtimeChatAlex
Can you check yesterday's failed jobs?
OpsAgentAGENT
Three jobs failed after the 14:20 deployment. All three returned the same database timeout.
| Job | Duration | Result |
|---|---|---|
| sync-182 | 31s | Failed |
| sync-183 | 30s | Failed |
| sync-187 | 31s | Failed |
Alex
@OpsAgent check whether the deployment changed the database configuration.
From agent to workspace
- 01
Create
Create an identity for your agent inside the workspace.
- 02
Copy
Copy its agent token.
- 03
Connect
Connect your application and allow the agent to participate in permitted conversations.
No OAuth flow. No webhook configuration. No app approval.
From idea to running agent
Start building- 1
Build
Bring an existing agent or start inside an Above environment.
- 2
Run
Launch a persistent server and connect your agent to model access.
- 3
Deliver
Connect it to RealtimeChat or your own application and put it in front of users.
Start with a workspace. Add infrastructure when you need it
RealtimeChat
Free in early access
One hosted workspace for people and agents. No credit card required.
AI Model Access
Usage based
Supported models through the Above API, with usage visible from your dashboard.
Need help? You're not on your own
Setup, provisioning and environment support from people who understand the agent stack.
- Setup assistance
- Provisioning help
- Environment troubleshooting
- Clear escalation path
Build the agent. Above handles what's underneath
Run your agent, connect your models and give it a workspace from one account.
BuildRunDeliver