Youragentworksindemos.
Doesitworkinproduction?
Eval infrastructure for AI teams — sandbox execution, regression detection, LLM proxy, and CI integration. Not just scoring. Complete reliability.
npx aegis initBring your agent.
We build confidence.
Your CI just passes.
Aegis wraps your agent in a full evaluation harness — sandboxed execution, live LLM proxying, and CI-native reporting. Ship with confidence because you measured it.
The Aegis Platform
CI-Native Evaluation
At a glance
Five layers.
Complete reliability.
Each layer of the Aegis stack is independently designed and can be used standalone — or as a complete integrated platform.
Every eval run executes in a fully isolated Firecracker microVM. Zero bleed between runs. Safe tool calling, network sandboxing, and instant teardown under 2 seconds cold start.
We don't think benchmarks
tell the full story.
We run #1 on AgentBench — but what matters more is that your specific agent, on your specific tasks, passes at the rate you need. That's what Aegis is built for.
In your CI pipeline
in 5 minutes.
One SDK. Any agent framework. Any CI provider. Three steps and you have pass/fail eval reports on every PR.
Install
npx aegis initConnect
aegis link --repo your/repoRun
aegis eval run --suite prodimport { Aegis } from '@aegis/sdk'
const aegis = new Aegis({ apiKey: process.env.AEGIS_API_KEY })
// Run an eval suite in CI
const result = await aegis.eval.run({
agent: myAgent,
suite: 'production-v2',
sandbox: true,
})
console.log(`Pass rate: ${result.passRate}%`)
// Pass rate: 97.4%Teams trust Aegis
in production.
Self-host
Deploy on your infra. Bring your own cloud.
SOC 2 Ready
Security controls audited and documented.
You own your data
Zero vendor lock-in. Export anytime.
Loved by teams
of every scale.
“Aegis caught a regression in our tool-calling logic 30 minutes before it would have hit prod. Saved us a bad Friday.”
Prakash Iyer
ML Platform Lead
@prakash_ml
“The sandbox isolation is the real deal. We run 200+ evals per PR and they're all fully isolated. Zero flakiness.”
Sara Voss
AI Engineer
@sara_builds
“We replaced three internal eval scripts with Aegis in a week. The CI integration just works. PR comments, pass/fail, the whole thing.”
Devesh Kapoor
Platform Engineer
@devesh_infra
“Transcript storage + replay changed how we debug agents. We can step through exactly what happened in any run.”
Lena Marchetti
AI Product Lead
@lena_ai
“The LLM proxy alone is worth it. Token-level logging across all our model calls. Finally have visibility.”
Tomás Rivera
LLM Engineer
@tomas_llm
“Setup took 8 minutes. I'm not kidding. `npx aegis init`, pushed a PR, and had eval results the same day.”
Jan Kowalski
Backend Engineer
@jan_dev
Simple, transparent
pricing.
Start free. No credit card required. Upgrade when you need scale, not when you exceed arbitrary free tier limits.
FREE
For individuals and experiments.
- 500 eval runs/mo
- 1 sandbox environment
- Community support
- 7-day transcript storage
PRO
For teams shipping agents to production.
- 20,000 eval runs/mo
- Unlimited sandboxes
- CI integration (GitHub + GitLab)
- LLM proxy included
- 90-day transcript storage
- Priority support
SCALE
For ML platform teams at scale.
- 500,000 eval runs/mo
- Self-hosting option
- SSO + SAML
- Custom eval scorers
- Dedicated Slack support
- SLA guarantee
Enterprise
Custom volume, dedicated infra, enterprise security.
Over-limit pricing
Your agent deserves
a safety net.
Start evaluating in minutes. No credit card required.