Your agent changed.You didn't know.
Driftbase fingerprints how your AI agent behaves in production. One integration — instant alerts the moment behavior silently shifts. Privacy-first by design.
The problem
Flying blind after every deploy.
Your observability stack tells you an agent ran. It doesn't tell you it behaved differently than last week. A model provider silently rolls an update — error rate stays flat, agent breaks anyway. You find out three days later, from a customer.
No behavioral signal
Latency and error rate monitoring misses how your agent makes decisions.
Days to detect regressions
Teams find behavioral regressions from customer complaints — not alerts.
Tests can't catch model updates
Unit tests check your code. They can't catch a provider-side model change that rewired how your agent reasons.
No audit trail for regulators
EU AI Act and DORA require behavioral records. Most teams have none and can't reconstruct them after the fact.
How it works
Running in
20 minutes.
No test cases. No golden datasets. Driftbase learns "normal" from live production traffic — then tells you when it changes.
One line of code
Callback handler or HTTP proxy. LangChain, LangGraph, AutoGen, CrewAI, or raw API calls — all supported.
Behavioral baseline
After 50 runs, a fingerprint is computed: tool distribution, latency percentiles, decision rates, error patterns. Zero raw content stored.
Deploy with confidence
Every deploy triggers a fingerprint diff. Drift above threshold fires Slack, blocks the GitHub PR, and writes a timestamped audit record.
Features
Everything your team needs.
Nothing it doesn't.
Four dimensions of drift
Decision rate, tool distribution, latency profile, error pattern — each tracked independently so you know exactly what shifted.
Root cause in plain English
Don't just know that drift happened — know why. Driftbase analyzes fingerprint deltas and explains what changed and where to look first.
GDPR by architecture.
Not by policy.
Built for European developers who need behavioral intelligence without compromising privacy. Content is hashed on capture — structurally incapable of leaking personal data. No raw inputs or outputs ever leave your infrastructure.
Designed to satisfy EU AI Act Articles 9 & 12, DORA change documentation, and GDPR by default. Your DPO will thank you.
Five frameworks.
One integration.
Catch silent provider updates
Your code didn't change — but OpenAI or Azure silently updated the model. Driftbase's rolling baseline detects the shift within hours.
Hashes, not conversations
Users' messages never enter our pipeline. Behavioral signals are extracted and hashed before leaving your environment.
Before vs after
Your team, two ways.
Pricing
Free to start.
No catch.
The core SDK is open source and completely free. Install it, run it on your real agent, and see what behavioral monitoring actually looks like — before deciding anything else.
Team plans with cloud dashboard, Slack alerts, and EU compliance exports are coming soon.
Get notified when Pro launches →No account. No credit card. No artificial limits.
- ✓Full open-source SDK — Apache 2.0 licensed
- ✓Local SQLite fingerprinting — data stays local
- ✓CLI drift reports and deployment diffs
- ✓LangChain, LangGraph, AutoGen, CrewAI support
- ✓HTTP proxy for framework-agnostic capture
- ✓Up to 1,000 monitored runs / month
Questions? Reach the team
Stop flying blind
after every deploy.
Start monitoring behavioral drift today. Get your baseline in 50 runs. Know the moment something shifts — before your users do.
Open-source · GDPR by architecture · Built for European developers