Solution readiness
Which AI agent platforms ship prebuilt agents and templates?
Of 946 vendors, 435 document full coverage of ready made work: packaged agents, workflow templates, blueprints, industry solutions and role specific agents that shorten the distance to a first result. A further 369 document partial coverage and 142 document none.
Every vendor in the index is assessed against the same 14 point taxonomy from public documentation, and no vendor pays for placement. Counts on this page were measured across all 946 public vendors on September 30, 2026.
How the 946 vendors split
No public evidence means the reviewed sources did not document the capability. On this index that is a statement about the evidence, not proof that the capability is absent. See methodology.
What counts as full coverage
Full coverage means packaged assets a buyer can adopt by any route: a catalog, a templates page, a named set of prebuilt agents, a bundled toolkit or an entitlement. A browsable library is strong evidence of that, not the definition. The test is removal: take one asset out of the set and ask whether the others are still whole products doing their own jobs. Three tiers of one agent, three modules the buyer wires together or three add ons are a pricing structure, and agents the vendor runs internally that the buyer never selects were never prebuilt assets for the buyer; both grade Partial or None on their own merits. Sample code in a repository is evidence of a framework, not of solution readiness.
How to read these numbers
The lane pattern maps onto how each category is bought. Agent builders lead at 70 percent and multi agent platforms follow at 64 percent, because a build surface with nothing on it has an empty first day. Agent infrastructure sits last at 27 percent, which is correct rather than concerning: those vendors sell the runtimes, gateways and memory layers other people build agents from, so a template gallery would be an odd thing to ask for. Healthcare at 53 percent is the one to note, because packaged agents in that lane usually encode a workflow with a compliance shape, and buying the pack means buying somebody else's interpretation of the rules.
Leading platform for prebuilt agents, templates & packs in each use case
Picked mechanically: the highest total coverage vendor in each lane that documents full evidence on this axis, one vendor per row. Scores are out of 14.
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1. Appian, for enterprise operations agents
14 / 14Full enterprise operations agents ranking · Compare the whole lane on all 14 axes
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2. FLOWX.AI, for multi-agent platforms
14 / 14Full multi-agent platforms ranking · Compare the whole lane on all 14 axes
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3. Gumloop, for GTM and revenue agents
14 / 14Full GTM and revenue agents ranking · Compare the whole lane on all 14 axes
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4. Mastra, for agent infrastructure platforms
14 / 14Full agent infrastructure platforms ranking · Compare the whole lane on all 14 axes
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5. ServiceNow, for customer support agents
14 / 14Full customer support agents ranking · Compare the whole lane on all 14 axes
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6. UiPath, for agent builders
14 / 14Full agent builders ranking · Compare the whole lane on all 14 axes
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7. GitHub Copilot, for coding agents
13.5 / 14Full coding agents ranking · Compare the whole lane on all 14 axes
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8. Dataiku, for data analyst agents
13 / 14Full data analyst agents ranking · Compare the whole lane on all 14 axes
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9. Adopt AI, for browser and computer-use agents
12.5 / 14Full browser and computer-use agents ranking · Compare the whole lane on all 14 axes
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10. ElevenAgents, for voice agents
12.5 / 14Full voice agents ranking · Compare the whole lane on all 14 axes
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11. Torq, for security and SOC agents
12.5 / 14Full security and SOC agents ranking · Compare the whole lane on all 14 axes
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12. Edge Delta, for SRE and DevOps agents
12 / 14Full SRE and DevOps agents ranking · Compare the whole lane on all 14 axes
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13. Innovaccer, for healthcare agents
11.5 / 14Full healthcare agents ranking · Compare the whole lane on all 14 axes
Documented coverage by use case
Share of each lane documenting full coverage on this axis. Vendors that sit in two lanes count in both, the same rule the rankings and matrices use.
| Use case | Full coverage | Share |
|---|---|---|
| multi-agent platforms | 37 of 52 | 71% |
| agent builders | 82 of 115 | 71% |
| healthcare agents | 40 of 69 | 58% |
| enterprise operations agents | 163 of 297 | 55% |
| SRE and DevOps agents | 19 of 37 | 51% |
| security and SOC agents | 43 of 85 | 51% |
| data analyst agents | 30 of 59 | 51% |
| customer support agents | 57 of 113 | 50% |
| coding agents | 31 of 64 | 48% |
| GTM and revenue agents | 65 of 138 | 47% |
| voice agents | 37 of 83 | 45% |
| agent infrastructure platforms | 50 of 186 | 27% |
| browser and computer-use agents | 11 of 42 | 26% |
Recent verified changes from the vendors named above
Capability coverage is not a static picture. These are the most recent sourced change log entries for the platforms listed above, newest first, one per vendor. Scores on this page update as entries like these are verified.
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Gumloop agent capability
Medium impactUsers can now text Gumball, Gumloop's personal agent, over iMessage, RCS or SMS to start a task, get replies in the same thread and approve steps by text. It is a public beta that admins can switch off by role.
September 29, 2026 · Partially Verified · All Gumloop changes
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ElevenAgents agent capability
High impactElevenLabs released Eleven v4 and Eleven v4 Turbo, a new text to speech family it trained itself, with more expressive speech and better voice cloning across more than 90 languages. The Turbo model is the real time version for agents, with a stated median latency of about 100 ms, and both are available in ElevenAgents now.
September 28, 2026 · Verified · All ElevenAgents changes
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FLOWX.AI agent capability
High impactFlowX.AI 5.13.0 adds an AI agent to its Designer that surveys an existing app, drafts a plan from a plain language request, then builds or edits processes, screens, workflows and data types. It runs only after the builder confirms the plan and reviews each step, works on its own branch, and refuses destructive changes such as deleting a process with live instances.
September 28, 2026 · Verified · All FLOWX.AI changes
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GitHub Copilot agent capability
Medium impactGitHub Copilot code review gained auto-resolution of review comments and updated analysis behavior, so the reviewing agent can close out its own findings rather than only reporting them.
September 11, 2026 · Verified · All GitHub Copilot changes
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Mastra agent capability
Medium impactMastra introduced Filesystem Skills for Workspaces, enabling reusable skills for multi-agent systems.
September 11, 2026 · Verified · All Mastra changes
Full change log · updated weekly across the whole index
Questions buyers ask
Do prebuilt agents reduce time to value?
Often, though the honest version is that they reduce time to a first demo. The work that remains is connecting them to your systems and your approval policy, which is graded on other axes.
Why does agent infrastructure score lowest?
Because it sells the parts rather than the finished agent. Runtimes, gateways, memory layers and observability tools are what other people build agents from, so a low score here describes the category rather than a gap.
Are templates customizable?
Varies widely, and it is worth asking. Some libraries are editable starting points, others are fixed packaged workflows you configure but cannot restructure.
The other 13 axes
No single axis decides a shortlist. Buyers who care about this one usually check deployment & data residency and triggers & channel coverage next, or open the full taxonomy to see how the 14 axes fit together.