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Self-Healing AgentsObservability ≠ Optimization

Your agents break.We fix them.

Every tool shows you what broke. Risicare captures the decision behind it and classifies the failure — diagnosis and fix generation land after the beta.

12 LLM providers · 6 agent frameworks

How It Works

Six stages from failure to fix. One of them runs today.

Risicare captures every decision your agent makes and classifies the failures. The rest of the loop — diagnose, test, fix, deploy, learn — is built and lands after the beta.

Deep dive into the pipeline →

The Product

See it in action.

app.risicare.ai
Self-HealingComing soon(unavailable)
risicare

OVERVIEW

Dashboard

OBSERVABILITY

Traces
Sessions
Agents

INTELLIGENCE

Self-Healing
Evaluations
Alerts

DATA

Datasets

CONFIGURATION

Settings
System HealthyComing soon
robust-test
Search traces, agents...
Last 24 hours

Dashboard

System HealthyComing soon
Total Traces

0

847 sessions · 23 agents
Error Rate

0

▼ 68%149 errors total
Ingest Latency

0

P50: 84ms · P90: 340ms · P99: 890ms
LLM Cost

0

1.2M tokens total
Latency
120ms / req
Errors
149errors
classified
pending
01020304050607
TOOL
MEMORY
REASON
OUTPUT
PERCEPT
COORD
COMM
ORCH
CONSNS
RESRC
PENDING
Models
2.1Krequests
gpt-4o780
claude-3.5-sonnet613
gemma-3356
llama-3.3341
mistral-large12

Trace Volume

Error Rate & Self-Healing

Error Rate
Self-HealedComing soon
Recent TracesView all
research-agentt_a8f312 spans340ms2m ago
code-review-agentt_b7e18 spans2 errors1.2s5m ago
deploy-agentt_c3f56 spans890ms8m ago
Top Agents
Orchestrator
orchestrator
Success Rate98.1%

Traces

1.2K

Latency

120ms

Cost

$18.40

Research Agent
agent
Success Rate96.8%

Traces

847

Latency

340ms

Cost

$12.30

The Difference

The only platform that completes the loop.

Every competitor stops at observation. We go all the way to automatic recovery.

Context Propagation

Context That Never Breaks

async task
↓ contextvars
thread pool
↓ propagated
subprocess
trace_id:a1b2c3d4…same

PEP 567 contextvars + W3C Trace Context. Survives asyncio, threads, and multi-process.

Failure Taxonomy

154 Error Codes, Not "Error"

taxonomy
module
REASONING
└ category
HALLUCINATION
└ code
FACTUAL
10modules
31categories
154codes

3-tier hierarchy: Module → Category → Code. Each with a distinct remediation path.

Framework Agnostic

Zero Lock-In

LangChainLangGraphCrewAIAutoGenLlamaIndexPydantic AIDSPyOpenAI AgentsCustom
Single decorator · One import · OpenTelemetry export

One decorator wraps any framework. 6-tier depth from base instrumentation to orchestration.

Head-to-head comparison

LangfuseLangSmithBraintrustRaindropRisicare
Trace CaptureYesYesYesYesYes
Agent-Specific TracingYesYesPartialYesYes
Decision-Level ReasoningNoNoNoNoYes, unique to Risicare
Root Cause IsolationNoNoNoNoComing soon
Hypothesis TestingNoNoNoNoComing soon
Auto Fix GenerationNoNoPartialNoComing soon
Statistical A/B DeployNoNoYesNoComing soon
Integration

Zero env vars to full observability.

Start with zero config. Add depth when you need it — each tier unlocks richer data in your dashboard.

agent.py
PythonBash
# env: RISICARE_API_KEY, RISICARE_TRACING=true
import risicare # the only line you add
 
# ... your agent code, unchanged ...
# All LLM calls traced automatically
Dashboard captures
LLM Call· gpt-4o
1,234 tokens$0.0122.3sok

Every integration auto-instrumented at Tier 0

OpenAI
Anthropic
Google
Mistral
Cohere
Groq
AWS
Together AI
Cerebras
Hugging Face
Ollama
Vercel
LangChain
LangGraph
CrewAI
LlamaIndex
LiteLLM
Pydantic
OpenAI
Anthropic
Google
Mistral
Cohere
Groq
AWS
Together AI
Cerebras
Hugging Face
Ollama
Vercel
LangChain
LangGraph
CrewAI
LlamaIndex
LiteLLM
Pydantic
Under The Hood

Built for the complexity of agent systems.

Four layers of engineering, working in concert. Every trace flows through ingestion, storage, intelligence, and deployment — automatically.

<0.3msingestion3storage engines154error codes<500msrollback
The Science

Built on peer-reviewed research. Not marketing promises.

Self-healing for AI agents isn't science fiction. It's published science — and it is what we are building toward.

Microsoft Research

DoVer: Verification & Recovery

"Recovers 18-28% of previously failed agent trials automatically"

Read paper

Stanford / UIUC

AgentDebug: Iterative Debugging

"24% higher accuracy through systematic failure recovery"

Read paper

NeurIPS 2025

MAST: Multi-Agent Failure Analysis

"14 unique failure modes identified across 1,600+ real-world traces"

Read paper

Risicare implements and extends these research findings into production-grade infrastructure.

Pricing

Simple, usage-based pricing.

Start free. Scale as your agents grow.

Beta — pricing finalized at launch

Starter

For exploring and prototyping.

$0/mo

Pricing finalized at launch

  • 50K decisions/month
  • 90-day retention
  • 3 team members
  • Tracing + error classification
  • Community support
Recommended

Pro

For teams shipping agents to production.

$99/mo

Pricing finalized at launch

  • 500K decisions/month
  • 90-day retention
  • Unlimited team members
  • Full pipeline + self-healingComing soon
  • Auto-fix generationComing soon
  • Email + Slack support

Enterprise

For regulated industries and scale.

Custom

Pricing finalized at launch

  • Unlimited decisions
  • 90-day retention
  • Unlimited team members
  • Dedicated support + SLA

Questions?

Stop debugging. Start healing.

The first platform that makes AI agents reliable in production.

Get Early Access

No credit card · Free tier · 2-minute setup

or