52% Prevention Rate 0% False Positives Open Source

Failure prevention
for AI agents

AIRAS learns from agent failures across your fleet, builds a pattern database, and prevents those failures before they happen — in real-time, at <50ms.

Get Started View Source
52%Failures Prevented
0%False Positives
96%Pattern Coverage
<50msCheck Latency
Capabilities

Everything your agents need to stay reliable

Population-Level Learning

Every failure across your entire agent fleet feeds into a shared pattern database. One agent's mistake immunizes all others.

Preemptive Prevention

Matches partial executions against known patterns before failure manifests.

Self-Improving

Interventions evolve via LLM mutations and contextual bandits. Gets better every day.

Cross-Domain

Works across coding, support, research, and data pipeline agents with universal adapters.

Predictive

Predicts likely failure classes from task description alone — before execution starts.

How It Works

Six steps to agent immunity

1
Agent executes a step

SDK sends the partial trace to AIRAS after each action.

2
Behavioral signals extracted

Errors, loops, anomalous step counts, context drift — detected without knowing the outcome.

3
Pattern matched in <5ms

Qdrant HNSW vector search finds matching failure patterns from the antigen database.

4
Intervention selected

Contextual bandit picks the highest-efficacy intervention variant for this context.

5
Agent self-corrects

Intervention injected into the next prompt. The agent catches the error before making it.

6
System learns

Outcome feeds back. Interventions that work get promoted; ones that don't get evolved.

Get Started

Up and running in 60 seconds

Install the SDK
uv add airas-sdk

or pip install airas-sdk

Integrate with LangGraph
from airas.sdk import AIRASClient, airas_middleware

client = AIRASClient(base_url="http://localhost:8100")
graph = airas_middleware(my_graph, client)
Deploy the stack
docker pull ghcr.io/yash1511-bogam/airas:0.2.1
docker compose up -d
API

Simple, fast endpoints

EndpointPurposeLatency
POST /v1/checkReal-time immunity check<50ms
POST /v1/tracesIngest completed trace<100ms
GET /v1/antigensList failure patterns<200ms
POST /v2/predictPredict failures pre-execution<100ms