Agentic Index
Doctor Droid vs Sherlocks.ai (2026)
Both vendors last verified
Doctor Droid and Sherlocks.ai are both self serve AI SREs with a free way in. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
Doctor Droid investigates alerts end to end on a live knowledge graph of the stack, remediates through runbooks you approve, and runs in the cloud or your VPC with bring your own LLM. Startup is $99 a month with a 14 day trial, and its PlayBooks engine is open source. Sherlocks.ai correlates observability signals for incident response, root cause and outage prevention, with institutional memory. Its Free plan covers 30 investigations a month, and Enterprise adds an option to run the model in your VPC. Choose Doctor Droid for approved remediation with your own model. Choose Sherlocks to start free on investigation alone.
On the Agentic Index production ops ranking, Doctor Droid clears the bar and Sherlocks.ai does not. Doctor Droid documents all five resolution loop capabilities in full; Sherlocks.ai documents two of the five in full. 15 of the 38 vendors in the lane clear it. See the production ops ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. Doctor Droid and Sherlocks.ai are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose Doctor Droid if
- Fixes should run through runbooks you approve.
- You need to bring your own LLM, in the cloud or your VPC.
- Your developers need an API, and you value an open source engine.
Choose Sherlocks.ai if
- You want to start free, with 30 investigations a month and no card.
- Investigation and root cause matter more than remediation.
- Institutional memory should carry across incidents.
| Feature | D Doctor Droid |
S Sherlocks.ai |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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Doctor DroidIntegrations & Tool Calling DrDroid offers 80+ integrations across AWS, GCP, Azure, GitHub, Datadog, Grafana, PagerDuty, Slack, Linear and Jira, runbook based remediation, and ArgoCD rollbacks, with write access granted only when rollbacks and permissions are configured. The connectors cover observability tools such as Grafana with Loki and Mimir, Prometheus, CloudWatch, Azure Log Analytics, Google Cloud metrics and logs, New Relic, Datadog, Elasticsearch, OpenSearch, Sentry, SigNoz, Coralogix, VictoriaLogs and PostHog, Kubernetes on EKS, AKS, GKE or self managed clusters, and databases including BigQuery, ClickHouse, MongoDB Atlas and PostgreSQL. Incident and work tools include Slack, Microsoft Teams, email, Opsgenie, PagerDuty, Jira, Confluence, Rootly and Zenduty, and code access runs through GitHub, GitHub Actions, Bitbucket and Jenkins. The agent can also run bash and remote server commands. Every plan includes unlimited integrations. SourceDrDroid, drdroid.io, /pricing and docs.drdroid.io Common FAQs and llms.txt indexread 2026-10-05 |
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Sherlocks.aiIntegrations & Tool Calling Sherlocks connects to 50+ tools (Datadog, New Relic, Prometheus, AWS, GCP, Azure, Kubernetes, databases) and queries logs, metrics and traces. The Watson data agent runs inside the customer's own VPC with strictly read only permissions, so agents read outside systems and report to Slack or Teams instead of acting in them. Named sources also include Sentry, Coralogix, Elasticsearch, Loki, PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, GitHub Actions and Jenkins. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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Doctor DroidWorkflow Orchestration Teams build agents for alert tuning, deployment tracking, investigations, remediation, reporting and retrospectives on the open source PlayBooks runbook engine, and agents can be triggered 'from an alert, a conversation, another agent, or your own automation', with A2A delegation. The named agent jobs run from alert middleware, the first response to every alert, through alert tuning that adjusts thresholds and files tech debt tickets, canary deployment tracking, end to end investigation and auto remediation, to observability gap analysis, cost and monitoring reports, long horizon infrastructure migration and retrospectives. Outside MCP servers a team connects become tools inside playbooks and custom actions. Investigations draw on credits, 99 a month on the $99 Startup plan with $1 top ups and volume credits on Business and Enterprise. SourceDrDroid, drdroid.io, /pricing and docs.drdroid.io MCP Server integrationread 2026-10-05 |
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Sherlocks.aiWorkflow Orchestration Each investigation runs 16+ domain specialized agents in parallel. Sherlocks maps the alert to its knowledge graph, forms a hypothesis, queries logs, metrics and traces to validate it, then reports root cause with short and long term remediations. Findings arrive in Slack or Microsoft Teams. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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Doctor DroidTriggers & Channel Coverage Investigations start on alerts, PagerDuty pages, alertmanager webhooks, cron jobs and API calls from CI/CD, as well as Slack and Microsoft Teams threads, and auto investigation rules fire on alert filters and severity. Automations on the Startup plan run from Slack only, Business adds Teams, Google Chat, PagerDuty, Opsgenie, Zenduty and custom sources, and Enterprise adds ServiceNow and Jira Service Management. Claude and Cursor can start work through the MCP server, and other agents can hand work to DrDroid over the A2A protocol. SourceDrDroid, drdroid.io and /pricingread 2026-10-05 |
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Sherlocks.aiTriggers & Channel Coverage The alert itself triggers Sherlocks, which investigates on its own with 16+ domain specialized agents and reports back in Slack, and tickets and Slack requests also start investigations. The free plan covers 30 investigations a month, and Enterprise is unlimited. SourceSherlocks.ai, sherlocks.ai and /pricingread 2026-10-05 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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Doctor DroidKnowledge Grounding & RAG 'DrDroid maps every repo, dashboard, K8s pod and cloud resource into one live knowledge graph' that traces blast radius when an alert fires, alongside uploaded documents and runbooks the agent draws on. Cross tool correlation and a decision engine work over that graph. When it picks queries, the agent combines log patterns with the alert, the runbooks and debugging knowledge, and it tries further queries when the first ones fail. It forms its hypotheses from live context, the dashboards and integrations available and the documents it can reach. SourceDrDroid, drdroid.io and docs.drdroid.io Common FAQsread 2026-10-05 |
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Sherlocks.aiKnowledge Grounding & RAG Sherlocks maps each alert to a knowledge graph of the customer's infrastructure and applications, built automatically, that persists across investigations and grounds each hypothesis before it queries telemetry. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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Doctor DroidMemory & State Persistence A named AI Memory 'holds your service graph, runbooks, docs, and every live signal, alerts, deploys, conversations, incidents' across investigations, and the service graph doubles as the product's knowledge graph. DrDroid does not say who can see the remembered conversations and incidents, how long they are kept or how to delete them. The memory builds patterns over time so an engineer starts an incident with context already in place. Source code sessions are the exception, since each one starts fresh with nothing carried over. SourceDrDroid, drdroid.io and docs.drdroid.io Source Code Securityread 2026-10-05 |
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Sherlocks.aiMemory & State Persistence Sherlocks carries institutional memory across infrastructure, past incidents, runbooks and Slack conversations, so each investigation starts with the context the team has already built up. That memory carries across runs, but Sherlocks does not say what it covers, how long it lasts or how to delete it. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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Doctor DroidHuman Oversight & Guardrails Remediation runs from runbooks with human approvals, so responders approve remediations without leaving the thread, and the agent does not have access to execute write commands by default, with write access granted only alongside rollbacks and permissions. Responders can ask questions, approve a remediation and close the investigation from the same Slack or Teams thread. When the coding agent proposes a fix, it opens a pull request on a feature branch, cannot change the default branch and respects the repository's protection rules. SourceDrDroid, drdroid.io and docs.drdroid.io Common FAQs and Source Code Securityread 2026-10-05 |
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Sherlocks.aiHuman Oversight & Guardrails The data agent has strictly read only permissions, and Sherlocks reports remediations for the team to carry out, so action stays with people. Sherlocks describes no step that presents a fix for approval. Remediations come in short term and long term versions. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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Doctor DroidSecurity, Identity & Governance Access controls include SSO and SAML, SSO and SCIM with an audit log on Business, and RBAC and access management with PII scrubbing. DrDroid reports SOC 2 Type II compliance, and the Enterprise plan lists both SOC 2 Type II and ISO 27001. Integrations are read only by default, data is encrypted at rest and in transit, and the agent never holds API keys itself, since an execution engine stores the credentials. Enterprise also lists an IP allowlist. Source code is analyzed inside short lived E2B micro VMs that are destroyed after each session, with no context carried between sessions and none of it used for training. SourceDrDroid, drdroid.io, /pricing and docs.drdroid.io Common FAQs and Source Code Securityread 2026-10-05 |
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Sherlocks.aiSecurity, Identity & Governance The Enterprise plan adds SSO and SAML, audit logs and RBAC, with a read only in VPC data agent, and compliance rests on SOC 2 Type 2, with security review support. Data is encrypted in transit and at rest, and the free plan has no SSO, audit logs or RBAC. SourceSherlocks.ai, sherlocks.ai/pricing and sherlocks.airead 2026-10-05 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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Doctor DroidObservability & Auditability An audit export of task execution records, retrieved over the API, can be filtered to executions performed by the 'Drdroid agent' and shows who ran each task, when, and the activity. Investigations are shared across the team on every plan, and on PagerDuty the findings arrive already attached to the page. The audit log in the product starts on the Business plan. SourceDrDroid, docs.drdroid.io Audit, drdroid.io and /pricingread 2026-10-05 |
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Sherlocks.aiObservability & Auditability Each investigation reports a root cause with remediations in Slack, and Enterprise includes audit logs, but Sherlocks names no record per investigation of the queries and steps the agents took. Reports also go to Microsoft Teams. SourceSherlocks.ai, sherlocks.ai and /pricingread 2026-10-05 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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Doctor DroidDeployment & Data Residency DrDroid is cloud hosted, or self hosted in the customer's VPC by Helm or Docker Compose with air gapped support. Business offers self hosting, and Enterprise self hosts in the customer's VPC with zero outbound traffic to DrDroid. Business runs from $999 a month in DrDroid's cloud or from $2,999 a month self hosted, and Enterprise adds custom data residency. The $99 Startup plan is cloud only, with one click setup. SourceDrDroid, drdroid.io and /pricingread 2026-10-05 |
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Sherlocks.aiDeployment & Data Residency The Watson data agent runs inside the customer's own VPC, so raw telemetry never leaves the customer's environment, and Enterprise adds an air gapped deployment option and an option to run the LLM in the VPC. The VPC data agent comes with the free plan too. SourceSherlocks.ai, sherlocks.ai/pricing and sherlocks.airead 2026-10-05 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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Doctor DroidPrebuilt Agents, Templates & Packs Teams build their agents for listed jobs on the PlayBooks engine. The open source projects (PlayBooks, droidctx, Status Page Aggregator, Kenobi, VPC Agent) are tools, and no catalog of prebuilt agents or playbook templates is published. Nine agent jobs are listed, among them Alert Middleware, the Investigation Agent, the Deployment Tracking Agent, the Infrastructure Migration Agent and the Retrospective Agent. SourceDrDroid, drdroid.ioread 2026-10-05 |
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Sherlocks.aiPrebuilt Agents, Templates & Packs The 16+ domain specialized agents run together inside each investigation, not as agents a customer selects or adopts separately. None of them is named, and the earlier Database Sherlock and Kubernetes Sherlock names no longer appear. Every plan includes all 16+ agents, and Enterprise adds a dedicated field engineer for setup. SourceSherlocks.ai, sherlocks.ai and /pricingread 2026-10-05 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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Doctor DroidModel Flexibility & Routing On the Business plan the customer can bring its own LLM or use DrDroid's, while Startup includes a managed LLM. The coding agent that analyzes source code is built on Claude Code. The models behind investigations on the managed option are not named. SourceDrDroid, drdroid.io/pricing and docs.drdroid.io Source Code Securityread 2026-10-05 |
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Sherlocks.aiModel Flexibility & Routing Enterprise offers an 'In-VPC LLM option', so the model can run in the customer's own environment. Sherlocks names no model or maker, and no way to choose between makers. Sourcesherlocks.ai/pricingread 2026-09-29 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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Doctor DroidAPIs, SDKs & MCP Extensibility The DrDroid MCP server at aiops.drdroid.io/mcp/ uses bearer API keys and offers tools that update the service catalog, create and edit runbooks, and manage alert definitions and auto investigation rules, beside a published OpenAPI specification and API triggers. DrDroid also works as an MCP client, connecting to a team's own MCP servers with bearer tokens, API keys or basic auth so their tools appear in playbooks and custom actions. The open source projects include the PlayBooks engine, droidctx, a Status Page Aggregator, Kenobi and a VPC Agent, and the docs include a guide to building your own AI debugging agent. SourceDrDroid, docs.drdroid.io DrDroid MCP Server, MCP Server integration and llms.txt indexread 2026-10-05 |
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Sherlocks.aiAPIs, SDKs & MCP Extensibility No API, SDK or MCP server is published for driving Sherlocks from outside. Teams work with Sherlocks through Slack and Microsoft Teams. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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Doctor DroidTesting, Debugging & Optimization DrDroid says 'Every alert, deploy, and incident strengthens the graph', and gives no more detail on how the agent improves. Alert tuning adjusts the customer's alerts, and DrDroid publishes no way to test or score the agent. The Retrospective Agent looks back over past incidents for long term improvements, and the Observability Agent reviews metric cardinality, logs and telemetry gaps in the customer's own monitoring. SourceDrDroid, drdroid.ioread 2026-10-05 |
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Sherlocks.aiTesting, Debugging & Optimization No evaluation harness, scored tests or improvement loop is named for the agents' investigations. Sherlocks reports MTTR falling from hours to minutes, alert noise down 90% and downtime down 70%. SourceSherlocks.ai, sherlocks.airead 2026-10-05 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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Doctor DroidBrowser & Computer Use DrDroid acts through integrations, runbooks, commands and APIs and does not control a browser, desktop or computer. Commands on servers run through the bash and remote server command integrations, not a screen. SourceDrDroid, drdroid.io and docs.drdroid.io llms.txt indexread 2026-10-05 |
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Sherlocks.aiBrowser & Computer Use Agents query telemetry through integrations and report in Slack and Teams. Sherlocks names no browser, desktop or computer control. Sourcesherlocks.airead 2026-09-29 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | D Doctor Droid |
S Sherlocks.ai |
|---|---|---|
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Entry price Lowest public entry point |
Startup is $99 per month with 99 investigation credits and a 14 day trial. Business starts at $999 per month in the cloud or $2,999 self hosted. Enterprise is custom. | Free (30 investigations a month, self serve); Enterprise custom |
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Pricing confidence How public the numbers are |
Public, exact | Public, partial |
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Billing Primary billing axis |
A monthly plan fee. Startup carries investigation credits, Business plans are sized for teams of 20 to 200 engineers, and Enterprise is custom. | Investigations per month on Free; custom Enterprise contract |
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Variable cost Workload / overage exposure |
Medium variable cost | Medium variable cost |
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Free tier / trial Try before you buy |
No free tierTrial
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Free tier
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
Doctor Droid
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· Agent capability
Doctor Droid introduced Open Index, an open-source framework designed to serve as a structured context layer for AI agents.
Source
Sherlocks.ai
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· Integrations
Sherlocks.ai introduced an AI SRE integration for Slack that makes the chat platform a primary incident investigation interface.
Source
Doctor Droid's Business plan starts at $999 a month in the cloud or $2,999 self hosted, and Sherlocks prices Enterprise on request.
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