Live operations
Tickets, incidents, deploys, and customer updates, organized by team. The primary heartbeat a reviewer can see after a source, a stream, and a signed event.
Live self-serve · Governed context plane
Production agents need a heartbeat.Not another chat window.
Production agents need a heartbeat. Not another chat window.
I/O Mesh is the context plane behind them.
PagerDuty first. GitHub second. Slack waits. The console stays empty until a signed event lands. Cite both sides or name the miss. Catalog listing is not Connected — that is the consume-clock.
I/O Mesh is the context plane — the heartbeat after a source, a stream, and a signed event. It is not a replacement for observability (Datadog, Grafana), incident command (PagerDuty, incident.io), issue tracking (Linear), or a workspace (Notion). It is not an MCP gateway or agent control plane product. Still not another chat window, and not a company-wide vector dump.
Explore the mesh. Base from $132/mo. Self-serve after payment.
See it for
Platform teams connect tools they already run. First session needs someone who can add the PagerDuty webhook and a GitHub repo admin. Heartbeat after the first signed event.
context://mesh · eng.ops · policy-gated MCP
Heartbeat
18 / min
- 14:02:11opssre.incidents
P2 opened — checkout p95 1.8s
Signed from pager. Team tenancy: sre.oncall
- 14:02:18opseng.ops
Deploy v2.14.3 → prod-eu
Heartbeat linked to runbook RB-441
- 14:02:24opscs.tickets
Enterprise ticket · latency on checkout
Scoped to cs.enterprise — not a global index
- 14:02:31knowledgesre.incidents
Recall: similar p95 in Mar
Institutional memory of last quarter
- 14:02:39analyticsgtm.pipeline
Renewal risk +12% this week
Pattern across heartbeats
This is a demo of the console heartbeat. Your org shows this after the first signed event on a mesh stream.
Built for teams shipping production agents
- Platform
- SRE
The gap
Memory products store chat history and user facts. I/O Mesh stores the work: a signed event on a department stream, and the RCA or runbook already on disk. A digest has to name both, or name which one is missing. The dashboard stays empty until a message is pulled. You pick the model. The palace stays on your machine.
Signed event on one side. Local notes on the other. Cite both, or name the miss. Empty until consume.
How it works
From signal to lasting advantage.
Build · Steer · Compound. Prove workflow lift on ops facts before you scale inference spend.
- 01
Connect a source
PagerDuty first. GitHub second. First signed event is the heartbeat.
Connect PagerDuty first when the buyer owns incidents. GitHub second for the change that usually caused the page. Slack waits. Heartbeat after a source, a stream, and a first signed event.
- 02
Create a mesh stream
A named inbox such as OPERATIONAL_EVENTS.
- 03
The first signed event becomes heartbeat
The console shows events after a signed message lands on that stream. Empty until then.
- 04
Agents attach via MCP
Copy the Agent / MCP connection when you want agents to read the pulse.
Time-to-first-heartbeat is the install that proves a consume-clock: empty until a signed event is pulled, then cite both sides or say you cannot.
One heartbeat. Three signals.
The full organizational pulse.
Department-scoped streams — not a company-wide vector dump. Agents get the real-time pulse of work, the memory of what it meant, and the patterns that emerge.
Knowledge
Docs, runbooks, and memory of past heartbeats. What previous activity meant. Reviewers can open this layer in the product; do not chip it as a readiness label.
Analytics
Patterns and trends across heartbeats so agents see beyond the moment. Same rule: describe the layer, do not chip a status.
Now
Signed events you can consume from a mesh stream.
Hours–days
Recent activity and rolling operational context.
Weeks–years
Analytical history plus free local MIT memory on your machine.
Why teams choose I/O Mesh
The pulse they attach to
Tickets, incidents, and deploys as department-scoped signed events.
The record they cite
Live pulse plus private notes on your disk. If a side is missing, the digest says so.
The model stays yours
I/O Mesh is not the brain. Local, or the cloud model you already pay for.
Solutions
Platform & SRE on one heartbeat.
Lean hybrid pricing
Start small. Prove value. Scale with confidence.
Most teams start here. Base from $132/mo. One workspace, one connector, live operations mesh, policy-gated tools. Paid mesh is paid. Local memory on your machine is the MIT kernel. Heartbeat after source, stream, and first signed event.
Most teams start here
$132/mo
- 1 workspace + 1 connector + 25 GiB
- Live operations mesh
- Policy-gated MCP tools
On your machine
Paid mesh is paid
- iomesh-tui, the memory kernel, and MCP run with your tools. Paid mesh is paid. This is not a freemium palace.
Evaluation
How teams evaluate I/O Mesh
Workflow maps: Incident RCA, Platform SRE, Account health, Finance analytics. Private evals on your facts under department tenancy. No public lift percent. No logos.
Incident RCA
When the page fires, the incident, the change, and the notes often live in different tools. Wire the pager pulse and the change pulse, then drop RCA notes you already wrote. If the digest cannot name all three, it says so. Private evals only. Not a PagerDuty replacement.
Platform SRE
Deploy and incident narratives on one record. Connect the service that pages you and the repo that shipped the change. Private eval: time to a linked pull request and how complete the root-cause write-up is. Not a Datadog replacement.
Account health
When CRM and support streams exist, agents read health and support burden under the same tenancy rules as ops. A catalog name is not Connected. Private evals on your facts. No renewal lift percent. No logos.
Finance analytics
Governed metric views with freshness and lineage when that path is allowed. Not unconstrained warehouse SQL inside prompts. Private evals only. No board ROI claim.
Questions
Straight answers. No chat UI, no model lock-in.
Self-serve · live today
Prove lift before you scale inference.
Base from $132/mo. Self-serve after payment. Heartbeat after source, stream, and first event.