Keep your harness.Own the model that drives it.
Your agent improves itself from its own work, round after round: better, faster and cheaper the more it runs, in a model you own.
Better, faster and cheaper, the more it runs.
3×
the tasks solved, compared with its harness’s own memory
½
the steps taken per task
⅓
the GPU time to learn new facts without losing old ones
One base URL.
Point your harness’s model calls at unify and add one header. Your prompts, tools and provider key stay as they are, and every call becomes something your model learns from.
from openai import OpenAIclient = OpenAI( base_url="https://api.unify.ai/openai/v1", default_headers={"X-Unify-Key": UNIFY_KEY},)RSI. RSI. RSI.
- CaptureYour agent’s history first, then its live calls, through one base URL.
- ImproveYour users’ feedback, hindsight and frontier models judging every step show your model what to do better.
- ReleaseNew weights take your calls once they’re within the margin you set. Hold or roll back at any time.
The harness becomes its training pipeline.
Today an agent learns in its harness, as notes, skills and memory files that only grow. Here, what it learns moves into the weights, round after round, and the harness stays thin.
Your agentunchanged except for one URL: no reward to define, no labels to write, no environment to build
Your weightsserved for you, or yours to run anywhere, on-premises included
Your networkself-host the gateway and the training, and your calls stay inside it
The first round is on us.
We work with a few teams at a time. Tell us about your agent, and if it’s a good fit, we’ll train its first model on its own history and show you how much faster and cheaper it gets, before you pay anything.