Knowledge & context
Which AI agent platforms remember context across runs and conversations?
Memory is the scarcest of the core capabilities. Of 984 vendors, only 187 document full persistence of context across a run, a conversation, a workflow, a user, a team or a long term memory layer. 502 document partial coverage and 295 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 984 public vendors on August 10, 2026.
How the 984 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 persistence the buyer can reason about: a documented memory layer with a stated scope and lifetime, whether that is per user, per team or per workflow. Partial almost always means conversation state inside a single session, which every chat interface has and which disappears the moment the session ends.
How to read these numbers
Multi agent platforms lead at 49 percent, more than double the next lane, because coordinating several agents forces shared state to become an explicit product feature. Security sits at 11 percent and healthcare at 12 percent, which is worth reading twice: those are the lanes where remembering across encounters carries the most operational value and the most retention risk, and the documentation is thinnest exactly there. Buyers should ask two questions the marketing rarely answers. Where does the memory live, and how do you delete it for one customer without wiping the rest.
Leading platform for memory & state persistence 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. UiPath, for enterprise operations agents
13.5 / 14Full enterprise operations agents ranking · Compare the whole lane on all 14 axes
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2. CrewAI, for multi-agent platforms
13 / 14Full multi-agent platforms ranking · Compare the whole lane on all 14 axes
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3. NICE CXone, for customer support agents
13 / 14Full customer support agents ranking · Compare the whole lane on all 14 axes
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4. Salesforce, for GTM and revenue agents
13 / 14Full GTM and revenue agents ranking · Compare the whole lane on all 14 axes
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5. Agno, for agent infrastructure platforms
12.5 / 14Full agent infrastructure platforms ranking · Compare the whole lane on all 14 axes
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6. Boomi, for agent builders
12.5 / 14Full agent builders ranking · Compare the whole lane on all 14 axes
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7. Emergence 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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8. CodeRabbit, for coding agents
12 / 14Full coding agents ranking · Compare the whole lane on all 14 axes
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9. Kubiya, for SRE and DevOps agents
12 / 14Full SRE and DevOps agents ranking · Compare the whole lane on all 14 axes
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10. Quiq, for voice agents
12 / 14Full voice agents ranking · Compare the whole lane on all 14 axes
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11. ThreatModeler, for security and SOC agents
12 / 14Full security and SOC agents ranking · Compare the whole lane on all 14 axes
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12. camelAI, for data analyst agents
11.5 / 14Full data analyst agents ranking · Compare the whole lane on all 14 axes
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13. Assort Health, for healthcare agents
10 / 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 | 28 of 57 | 49% |
| GTM and revenue agents | 33 of 144 | 23% |
| agent builders | 25 of 114 | 22% |
| agent infrastructure platforms | 40 of 179 | 22% |
| coding agents | 14 of 68 | 21% |
| data analyst agents | 14 of 67 | 21% |
| customer support agents | 23 of 115 | 20% |
| SRE and DevOps agents | 7 of 36 | 19% |
| enterprise operations agents | 54 of 319 | 17% |
| browser and computer-use agents | 8 of 49 | 16% |
| voice agents | 11 of 88 | 13% |
| healthcare agents | 9 of 77 | 12% |
| security and SOC agents | 10 of 92 | 11% |
Questions buyers ask
Why is session context only partial credit?
Because it is not persistence. Holding a conversation together inside one session is table stakes. Memory that survives the session is what changes how an agent behaves on the second interaction.
Is memory a retention risk?
It can be. Persisted context is often personal or commercially sensitive, so pair this axis with deployment and data residency and with security and identity before enabling long term memory in a regulated setting.
Which lane documents memory best?
Multi agent platforms, at roughly one in two members. Voice, healthcare and security are the thinnest, each documenting full coverage for fewer than one in seven vendors.
The other 13 axes
No single axis decides a shortlist. Buyers who care about this one usually check observability & auditability and deployment & data residency next, or open the full taxonomy to see how the 14 axes fit together.