When your AI agent makes a decision,
can you prove why?
Cartha gives compliance and risk teams a verifiable audit trail of every AI decision, and gives engineering teams zero-code instrumentation to produce it. One platform, two teams, no tradeoffs.
The Production Reality
AI in production is a black box.
When things break, you're left guessing.
"Which agent made this decision?"
"Why did this workflow fail?"
"What memory influenced this response?"
"Why did API costs suddenly spike?"
"Which policy blocked this execution?"
"How do we audit this decision later?"
Cartha is the answer.
We sit between your agents and production to make them governable, predictable, and compliant.
Accountability
When AI makes a decision, you should be able to prove what happened.
Cartha turns AI activity into an auditable record — capturing what an agent did, what data it accessed, which policies applied, and where human oversight intervened.
Bring your current AI policy or audit checklist.
We'll show you exactly where Cartha closes the gap: no code, no jargon, 5 minutes.
Zero-Code Setup
Effortless integration.
Total visibility.
See results under 5 minutes
Add two lines of code. Run your application. Everything else happens automatically. No decorators. No wrappers. No manual tracing needed.
- Zero-code instrumentation (cartha.instrument())
- Automatic framework & agent discovery
- Automatic tool discovery
- Automatic project & environment detection
- Universal Runtime Model for seamless integration
import langgraph
# 1. Initialize SDK
cartha.init(api_key="...")
# 2. Auto-instrument everything
cartha.instrument()
# 3. Run your standard agent code
graph = langgraph.graph.StateGraph(...)
graph.invoke(...)
The Platform
Everything you need to govern agents.
Six pillars of agent control — each with a live product walkthrough.
Universal Runtime Model
Framework-agnostic governance. Zero-code setup for instant visibility across any agent framework with a unified event schema.
Governance & Auditing
Prove compliance with immutable audit logs. Track every LLM decision, tool execution, and data access retroactively.
Quad-Scoped Memory
Prevent context bleed. Segment agent memory across User, Team, Agent, and Org boundaries with strict TTLs.
Policy Guardrails
Define natural language rules. Enforce them in microseconds to block PII leaks or halt risky tool executions instantly.
Budget Breakers
Establish hard financial ceilings per execution. Automatically terminate runaway agent loops before budgets are exhausted.
Runtime Resilience
Configure automatic agent failover and trace replays to ensure high availability and deterministic debugging.
Architecture
How Cartha sits in your stack
Enterprise capabilities built-in.
Stop building custom infrastructure for observability and compliance. Cartha provides everything needed to operate agents at scale.
Quad-Scoped Memory
Isolate agent contexts natively.
Human Approvals
Pause execution for manual sign-off.
Budget Breakers
Hard stop agents when funds drain.
Policy Guardrails
Enforce compliance dynamically.
Immutable Audit Trails
Log every state and decision.
Execution Replay
Debug deterministically from the past.
Tool Allowlists
Restrict dangerous tool executions.
Agent Failover
Route requests dynamically on failure.
Time-Travel Memory
Query exactly what an agent knew when.
Supported Frameworks
Cartha works alongside the tools you already use. Keep your preferred framework; we handle the governance.
The Cartha Difference
Enterprise security.
Built in.
We take data privacy seriously. Cartha is engineered from the ground up to meet the most stringent enterprise compliance requirements.
Rigorous access controls, continuous immutable audit logging, and automated compliance tracking ensure your agent data is handled with the highest standard of governance.
Information security management systems are integrated into our core. Quad-scoped tenant isolation and end-to-end encryption protect every single trace.
Stop guessing what your
AI agents are doing.
Start governing them.
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