Ongrid
Ops AI agent that finds root causes and fixes infra from Slack or Telegram.
Ongrid solves a real pain: debugging infra from chat, with evidence, not AI hallucinations. Teams already on Prometheus/Loki/Tempo will get value fast, but the self-hosted requirement filters out those who want zero infra overhead. Solid, audited, air-gap-friendly—if you can run it. For fully managed alternatives, consider PagerDuty or Datadog, but for on-prem control, Ongrid is a strong pick.
Verified 6h ago · liveness 68/100 · cite: rightaichoice.com/tools/ongrid
- DevOps engineers already running Prometheus/Loki/Grafana who want to fix issues from Slack/Telegram
- SRE teams aiming to cut MTTR by querying live infra in natural language
- Platform engineering teams integrating custom runbooks into chat workflows
- On-call engineers needing mobile-friendly incident response via WeCom/Telegram
- Teams wanting a fully managed SaaS with zero self-hosting overhead
- Small teams without an existing Prometheus/Loki/Grafana stack—setup cost is real
- Users seeking a general-purpose AI chatbot beyond ops use cases
We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.
- Honest verdict, not marketing
- Real pros & cons from real users
- Attributed quotes with receipts
3 free scans · no card needed
Skip Ongrid if you are not running Prometheus/Loki/Grafana already and don't want to handle self-hosting, or if you need a fully managed SaaS with zero infra overhead.
The free tier caps at 1,000 AI calls and 1 integration; exceeding that requires moving to the paid Pro tier, which is contact-sales.
Ongrid's free tier is great for small teams to test, but the Pro tier (contact-sales) may be pricier than flat-fee alternatives like Grafana Cloud or Datadog for larger teams. For self-hosted control with no per-seat cost, it's competitive with open-source tools like Prometheus alone, but adds AI value.
In short
Ongrid — Ops AI agent that finds root causes and fixes infra from Slack or Telegram. Best for DevOps engineers already running Prometheus/Loki/Grafana who want to fix issues from Slack/Telegram, SRE teams aiming to cut MTTR by querying live infra in natural language, Platform engineering teams integrating custom runbooks into chat workflows. Free to use.
What's new in Ongrid
Checked todayAcross the latest 1 update: 1 feature update.
What people actually say about Ongrid — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
9 mentions across 3 sources (Hacker News, GitHub, Lemmy) · researched Jul 3, 2026.
- +Chat-native troubleshooting keeps teams in Slack/Telegram without context switching.
- +Infrastructure-aware root cause analysis using live data from multiple cloud providers.
- +Automated remediation via runbooks and scripts reduces manual intervention.
- +Supports major cloud providers: AWS, Azure, GCP.
- +Integrates with popular monitoring tools like Datadog, New Relic, PagerDuty.
- −Core features like host_bash tool often fail to execute commands.
- −Configuration UI has bugs where input fields disappear after ten seconds.
- −Permission errors after adding nodes prevent monitoring from loading.
- −Deployment in air-gapped environments fails due to Docker timeout.
- −Lack of multi-replica support creates a performance bottleneck.
- • Custom action definitions and approval workflows may require paid plan; no transparent pricing published
Viability Score
How well maintained and how widely used is Ongrid? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- Root cause analysis via metrics, logs, traces, topology, and source code
- PromQL, LogQL, TraceQL query generation and execution
- Chat-based incident troubleshooting in Slack, Telegram, Larksuite, DingTalk, WeCom
- Two-way channels with per-channel locale support
- Read-only host probing with bash and host_probe_* skills
- Over 26 audited skills plus custom runbooks
- Expand topology graphs for context
- Evidence-backed answers grounded in live telemetry
- Bring your own LLM: Anthropic, OpenAI, GLM, DeepSeek, Gemini, Kimi, OpenAI-compatible
- One-liner install on Linux amd64/ARM64 (Ubuntu 22.04+, Debian 12+, RHEL 9, Rocky 9)
- Self-hosted Docker Compose deployment (manager, MySQL, Prom, Loki, Tempo, Grafana, Qdrant)
- Outbound-only connectivity, zero open inbound ports, no jumpbox
- Full audit trail for every action
- Multi-environment and multi-region support
- Webhook channel support
About Ongrid
Ongrid is an ops AI agent that connects to your observability stack—Prometheus, Grafana, Loki, Tempo, OpenTelemetry—and your cloud infrastructure. It understands your infrastructure by reasoning over metrics, logs, traces, topology, and source code, and it answers questions in plain language. You can ask 'why is latency spiking?' and get an evidence-backed answer, not a transcript. The agent runs inside Slack, Telegram, Larksuite, DingTalk, and WeCom, with per-channel locales, so on-call engineers can troubleshoot from their phones without context switching. It generates and executes PromQL, LogQL, and TraceQL queries, expands topology graphs, and runs bash commands through audited, read-only skills—over 26 of them, plus custom runbooks. Every action is logged for a full audit trail. You bring your own model: Anthropic, OpenAI, GLM, DeepSeek, Gemini, Kimi, or any OpenAI-compatible relay. Deployment is self-hosted via a one-liner install on Linux (amd64/ARM64, Ubuntu 22.04+, Debian 12+, RHEL 9, Rocky 9), or `docker compose up` for the full stack—manager, MySQL, Prometheus, Loki, Tempo, Grafana, Qdrant. Each host dials out through a single outbound tunnel, so there are zero open inbound ports and no jumpbox needed. That makes it a fit for air-gapped or security-sensitive environments. Unlike general-purpose AI assistants, Ongrid is infrastructure-aware: it doesn’t just chat, it queries your live telemetry and runs safe commands.
Behind the Verdict
Ongrid is a focused tool for DevOps, SRE, and platform engineers who are tired of context-switching between chat, dashboards, and runbooks during incidents. Its core strength is that it doesn't just chat—it queries your live telemetry and runs read-only commands, all through audited skills. The two-way channel integration (Slack, Telegram, Larksuite, DingTalk, WeCom) with per-channel locales is a standout for distributed teams. The self-hosted model gives you full data control, which is a big deal for security-conscious orgs, but it also means you own the deployment and maintenance. The free tier is generous enough to test, but the Pro tier jumps to contact-sales pricing, which can be a barrier for smaller teams. If you already run Prometheus/Loki/Grafana, setup is genuinely quick—about five minutes. But if you're not on that stack, you need to factor in the setup cost. Overall, if your priority is reducing MTTR and you can handle self-hosting, Ongrid is a compelling choice. If you want a fully managed SaaS, look elsewhere.
Researching Ongrid? Get your full AI stack in 60 seconds.
Free, no signup — tell us your goal and get tools matched to your budget & existing stack.
Real-world workflow fit
Concrete scenarios for the personas Ongrid actually fits — and what changes day-one when you adopt it.
Receive a Slack alert about high latency, ask Ongrid 'what's slowing down the checkout service?'
Outcome: Ongrid runs PromQL and TraceQL queries, identifies a slow database query, and suggests a fix, cutting MTTR significantly.
Create a custom runbook for restarting a service in a specific environment.
Outcome: Ongrid executes the runbook from chat, restarts the service, and logs the action for audit.
During a security incident, query live state of a misconfigured security group from Telegram.
Outcome: Ongrid probes the cloud, finds the misconfiguration, and provides evidence, helping you remediate quickly.
Use Cases
- Troubleshoot a production outage by asking 'What caused the spike in latency?' in Slack.
- Automatically restart a failed service and notify the team via Telegram.
- Investigate a misconfigured AWS security group by querying live state from chat.
- Rollback a problematic deployment by triggering a GitHub Actions workflow through Lark.
- Generate a post-mortem summary from incident chat logs and linked monitoring data.
Models Under the Hood
as of 2026-08-21
Limitations
- The tool requires a self-hosted deployment via Docker Compose and works on specific Linux distributions (Ubuntu 22.04+, Debian 12+, RHEL 9, Rocky 9).
- It relies on existing observability stacks (Prometheus, Loki, Tempo, etc.) and channel providers, and its effectiveness depends on the quality of integrated monitoring data.
- The free tier is limited to 1,000 AI calls and 1 integration, while Pro plan requires per-user pricing that can add up.
as of 2026-08-24
Verification history
We have re-verified Ongrid 5 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Ongrid tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
Individual engineers or small teams wanting to evaluate Ongrid with basic RCA on one integration.
What this tier adds
Starts with basic root cause analysis, Slack/Telegram integration, and community support.
Pro
Contact sales
Ideal for
Growing teams needing advanced skills, custom runbooks, and multi-environment support.
What this tier adds
Adds advanced skills, custom runbooks, multi-environment support, and priority support.
Enterprise
Custom
Ideal for
Organizations with strict compliance, SLA, and custom model integration needs.
What this tier adds
Adds dedicated deployment assistance, SLA and compliance, and custom model relay integration.
Where the pricing makes sense
The company stage and team size where Ongrid's pricing actually pencils out — and where peers do it cheaper.
Ongrid's free tier is great for small teams to test, but the Pro tier (contact-sales) may be pricier than flat-fee alternatives like Grafana Cloud or Datadog for larger teams. For self-hosted control with no per-seat cost, it's competitive with open-source tools like Prometheus alone, but adds AI value.
Setup time & first value
How long it actually takes to get something useful out of Ongrid — broken out by persona, not the marketing-page minute.
For teams already on Prometheus/Loki/Grafana, you can be up in about five minutes with the one-liner installer. For others, expect 30-60 minutes to set up the full Docker Compose stack and configure channels and models.
Switching to or from Ongrid
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From PagerDuty: You can replace the on-call chat actions with Ongrid's chat-driven fixes, but you'll need to set up the observability connections yourself.
- ↗To Grafana Cloud: Export your dashboards and queries, then use Grafana's native AI to replace Ongrid, though you lose the chat-native workflows.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Ongrid
Common stack mates teams adopt alongside Ongrid, with the specific reason each pairing earns its keep.
BunkerM
On-premise AI assistant that lets plant operators query and control industrial equipment in natural language, with zero cloud dependency.
Interfere
AI-powered production monitoring that catches issues before customers do, explains root causes, and suggests fixes.
Doctor Droid
Self-learning AI SRE agent that maps your stack into a live knowledge graph for faster root-cause analysis and automated remediation.
Featured Head-to-Head Comparisons
Ongrid vs Spider Cloud
Ongrid and Spider Cloud serve completely different purposes: Ongrid is an ops AI agent for troubleshooting infrastructure from chat, while Spider Cloud is a web scraping API for AI agents. Choose Ongrid if you need self-hosted incident response with query generation and remediation; choose Spider Cloud if you need cost-effective, reliable web data for RAG or LLMs.
Ongrid vs Presto Voice
Presto Voice and Ongrid serve completely different domains: Presto Voice is purpose-built for QSR drive-thru automation with proven revenue lift, while Ongrid is an ops AI agent for DevOps teams to troubleshoot infrastructure from chat. Choose based on your business vertical—restaurant ops or IT operations—as there is no overlap. Both require contacting sales for pricing.
Ongrid vs Temporal Ai
Choose Temporal AI if you need reliable, stateful orchestration for complex AI agents or microservices with automatic retries and recovery, especially if you prefer an open-source platform with a managed cloud option. Choose Ongrid if your primary need is infrastructure-level troubleshooting from chat and you already run a Prometheus/Loki/Grafana stack on-premise. They overlap minimally.
Alternatives to Ongrid
View allBunkerM
On-premise AI assistant that lets plant operators query and control industrial equipment in natural language, with zero cloud dependency.
Interfere
AI-powered production monitoring that catches issues before customers do, explains root causes, and suggests fixes.
Doctor Droid
Self-learning AI SRE agent that maps your stack into a live knowledge graph for faster root-cause analysis and automated remediation.
Frequently Asked Questions
Used Ongrid? Help shape our editorial sentiment research.