Real-time Agent Call Stream
Watch every agent run as it executes, with status changes and failures surfaced immediately.
Real-time observability for agent + LLM workloads, with privacy-safe telemetry.
Observe every agent call. Govern every token.
Monitor OpenClaw agents and Ollama requests with live traces, latency, error rates, tool usage, and token spend, while redacting sensitive data before storage.
Self-hosted
Privacy-safe
Works offline
Docker-first
Telemetry
Governance
docker compose up -d
Track latency, errors, and token usage in one stream.
Mask or hash sensitive fields before persistence.
Deploy on Docker, VM, or on-prem infrastructure.
Problem
When agent runs fail, most teams lose the trail.
- Agent runs go dark when something breaks
- LLM costs and latency are hard to control
- Sensitive data leaks into logs
Solution
Capture the signal, remove the risk, surface the cause.
OpenClaw + Ollama Monitor gives platform, SRE, and security teams a live operational surface for self-hosted AI systems. It ingests runtime events, applies privacy-safe redaction, and exposes the traces, KPIs, and audit clues needed to keep systems dependable.
Key features
Built for reliability, governance, and fast triage.
Ollama Request/Response Visibility (redacted)
Inspect inference metadata and request flow with sensitive content safely redacted.
Latency p50/p95 + Error Rate KPIs
Track health with production-friendly KPIs that operators can trust.
Tool Call Trace + Timeline
Follow tool invocations in sequence to see where time, retries, and breakage accumulate.
Privacy-Safe Redaction & Risk Flags
Mask fields before storage and flag risky payloads for governance review.
Deploy Anywhere
Run with Docker, on a VM, or fully on-prem without a SaaS dependency.
How it works
Ingest -> Redact -> Observe
IngestReceive traces, request metadata, and tool events from OpenClaw and Ollama workloads.
->
RedactApply privacy rules, mask sensitive fields, and attach risk flags before persistence.
->
ObserveExplore live streams, KPIs, and drill-down traces for faster debugging.
Use cases
Operational visibility for the teams that carry production risk.
DevOps / SRE
Use live traces to triage incidents faster and reduce MTTR when agents fail in production.
Security
Enforce redaction, governance checks, and auditability before sensitive telemetry lands in storage.
Product / Engineering
Improve reliability with better prompt, tool, and model tuning backed by runtime data.
Operations
Give support teams the visibility they need without exposing raw sensitive payloads.
Product preview
Live stream, drill-down traces, and redacted payload views.
TimeTypeTargetLatencyStatus
12:05:42agent.runinventory-sync195 msok
12:05:46tool.callwarehouse.lookup622 msslow
12:05:47ollama.chatmistral:7b810 msok
12:05:49agent.runinvoice-reconcile1.9 serror
Pricing
Practical packaging from pilots to regulated environments.
Starter
Free / Early Access
Core features, basic retention, community support.
Get Early AccessPro
Contact us
Teams, longer retention, advanced filters, and richer operational reporting.
Request a DemoEnterprise
Custom
SSO, audit exports, custom retention, and dedicated support.
Contact salesFAQ
Common questions from platform and security teams.
Does it work fully self-hosted?
Yes. It is designed for self-hosted deployments with Docker, VMs, and on-prem environments.
How do you redact sensitive data?
You configure redaction rules to mask or hash fields before storage, with risk flags for review.
Does it support multiple models/environments?
Yes. You can monitor multiple model deployments and environments with the same operational surface.
Is it tied to OpenClaw only?
No. It is optimized for OpenClaw and Ollama, but the telemetry model can support adjacent agent workloads.
What databases are supported?
The initial deployment targets standard self-hosted relational storage and can be adapted to enterprise retention policies.
How quickly can I deploy?
A Docker-first setup is intended to get a working deployment running in minutes.
Final CTA
Get observability for agents - without compromising privacy.
Talk to us about production telemetry, self-hosted deployments, governance controls, and rollout plans for OpenClaw and Ollama workloads.