A Gibon Agent is a team of sub-agents working together. Each sub-agent completes a step of the overall task.
By using discrete sub-agents, Gibon has
by avoiding drift in large context windows
by only exposing the tools necessary at each step
by selecting the perfect model for each sub-agent
than single agents handling large tasks directly.
The workflow built from that prompt: 5 steps, each with its own prompt and model.
These are just a few of the things our customers build with Gibon
Gibon gives you granular control over your agents so you're never surprised
Every sub-agent can have its own cost limit. When tasks near the cost limit Gibon automatically warns the sub-agent to wrap up its work. When limits are hit the task is paused, and humans can elect to override the limit
Gibon supports Anthropic, OpenAI, and open source models (via Fireworks AI). So you can always pick the right model for the job and never overspend. Or use Gibon's automatic model selector and we'll choose the right model for the job, balancing capability and cost.
Every session runs in its own Linux environment, ensuring your data stays secure and agents have all the tools they need to do their work. Gibon supports attaching to these environments allowing you to get directly involved when necessary.
Watch your agent work and intervene at any time; all tool calls, tool results, thinking content, and agent responses are all there for you to see.
Set checkpoints in your agents for when you want a human to review progress before Gibon proceeds. When a human rejects, their feedback is sent back to the agent to be addressed
Add custom code in your agents for even stricter validation controls, such as running automation tests, verifying data integrity, or automatically checking results.
Gibon's core platform includes all the essential Agent tools, with limitless extensibility
Install the Gibon Slack app to converse with Gibon and dispatch tasks from within Slack
Install the Gibon GitHub App to let Gibon work on your source code
Gibon supports any remote MCPs using bearer token or OAuth
A command line giving Gibon direct access to its system, allowing it to perform actions across multiple tools.
Every session has its own file system, giving Gibon the space it needs to do its work.
For when Gibon wants to share artifacts back to you, such as product demos or large amounts of data.
You can enable your Gibon agents to dispatch tasks to your other Gibon agents, enabling complex long-horizon tasks
Gibon runs in the cloud, your machine is not held hostage by an AI.
Connect external system to trigger Gibon, enabling Gibon to work even when all the humans are asleep
Already have prescribed ways of doing things? Gibon supports the same skills as other agents.
Need to provide sensitive data to your agents, such as login credentials for Gibon to test your website? We have you covered with secure secret storage and tight control over which agents get secrets and which don't.
Gibon sessions run in isolated MicroVM environments. These environments have no network ingress and controlled network egress. VMs are snapshotted and paused when no work is being done. Snapshots persist for 30 days to allow for follow-up work.
Gibon never trains on your data. We ensure that our model providers never train on your data either. Your data is yours and stays yours. You can bring your own LLM endpoints or API keys to ensure your negotiated terms with providers are followed.
We build your first agents alongside your team, against your real systems and your real data.
We go through how this runs today and pick the version worth building first.
We build it alongside your team, against your real systems and your real data.
Your team finishes able to change it and build the next one without us.
Early access is rolling out now. Get on the list.
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