Catalog Systems Vertical / domain-specific AI memory Cognigy (now NiCE Cognigy)

Cognigy (now NiCE Cognigy)

https://www.cognigy.com/product-updates/an-ultimate-guide-to-ai-agent-memory

Acquired by NiCE (closed 2025-09-08); continues as NiCE Cognigy, standalone and inside CXone Mpower. Enterprise contact centre (voice + chat). Short-term covers current session; long-term persists across sessions and is shared by every agent a customer might encounter. Most explicitly engineered memory model in the segment.

Acquired. acquired by NiCE; now NiCE Cognigy Source · Alternatives and migration notes →

Acquired · Verified 2026-10-23 · fresh as of 2026-10-23 · 37 cited facts, 4 with a third-party source · 2 recorded changes · Suggest a correction

At a glance

Type
Two-tier short + long-term, shared across agents vendor fix
Tier
T1
Section
Vertical / domain-specific AI memory
Created
2022-01 vendor fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
Enterprise only third-party fix
Funding
acquired by NiCE (closed 2025-09-08; terms not disclosed on announcement); prior $100M Series C 2024-06 vendor fix
Freshness
2026-10-23 fix
Layer
agent-infra repo fix
Licensing
commercial third-party fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix

Memory taxonomy

storage
kv
retrieval
exact-match
persistence
cross-session
update
append-only
unit
episode
governance
inspectable
conflict
none

When to use

Optimised for: cross-channel customer graph + agent handoff + CRM integration

Anti-fit: not for non-customer-facing use cases

Pros & cons

Pros

Mature CCaaS-integrated agent platform with memory tuned for compliance and audit in regulated industries.

Cons

Heavyweight CCaaS positioning means memory is one capability among many; pricing is enterprise-tier.

Claims & capabilities

1B+ annual interactions. Gartner Magic Quadrant Leader 2025. Customers report 30% AHT reduction, 3× self-service.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Both
Embedding model
searched not found
Multi-tenancy
Granular RBAC with separation of duties; multi-region deployment (EU/US); dedicated single-tenant available
MCP
yes — MCP client via MCP Node in Cognigy.AI (since 2025-04); standalone @cognigy/mcp-server npm package now deprecated in favour of the NiCE Cognigy plugin
A2A
no A2A protocol support advertised — vertical product, no A2A integration documented
OpenTelemetry
first-class

Alternatives to Cognigy (now NiCE Cognigy) → live options ranked by shared design, licence, hosting and MCP support

Similar systems

Other vertical / domain-specific ai memory in the catalog, ranked by inbound references.

  • Inworld AI T1

    Formerly an NPC character engine with named Long-Term Memory; now sells realtime voice models (TTS-2, STT-1, speech-to-speech) and OpenAI-compatible open-model inference. Character/NPC memory is no longer the headline product.

  • NVIDIA ReMEmbR T3

    Builds long-horizon memory by captioning video segments with VILA, storing captions with timestamps + 3D position coordinates in MilvusDB. At query time, LLM iterates retrieval across text, time, and position modalities. Deployed on Nova Carter robot (Jetson Orin).

  • Abridge T1

    Clinician-assist ambient documentation. Source mapping: every AI-generated summary element traced back to the source utterance. Audit-and-trust layer over episodic memory. Built on proprietary 1.5M+ medical-encounter dataset.

  • ASAPP GenerativeAgent T1

    Treats memory as first-class architecture. Captures the digital footprint of every interaction; retrieves preference and history at engagement time. Public example: airline knowing a frequent flyer wants aisle seats with her son — preference-aware, not just history-lookup.

  • BenevolentAI T1

    Taken private: merged into Osaka Holdings (renamed BenevolentAI S.A.) and delisted from Euronext Amsterdam 2025-03-13. Target identification / drug repurposing / mechanism tracing. 85+ data sources, petabyte-scale, rebuilt every few weeks. Wet-lab results re-enter the graph and shift downstream predictions — institutional experimental memory closing a feedback loop. As of Oct 2026 benevolent.com leads with Qor, powered by BenevolentAI, a life-science intelligence service for biopharma decision makers and consultancies. Qor (qor.one) is a continuously updated decision-intelligence service built on BenevolentAI's knowledge graph and reasoning methods: it tracks evidence on an asset or indication (competitive position, rival readouts, comparable deals), source-verifies each claim and flags when an earlier conclusion stops holding. It targets biotech teams and life-science consultancies.

  • Causaly T1

    Agentic AI platform for life sciences: orchestrated scientific agents over a curated biomedical knowledge graph (plus Bio Graph and Pipeline Graph), an evidence-retrieval system and an enterprise data fabric over literature, trials and patents.

Sources (36 cited facts, 4 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-23
    • Name “Cognigy” → “Cognigy (now NiCE Cognigy)”
    #223
  2. 2026-10-22
    • Funding / ownership “$100M total Series C · 2024-06” → “acquired by NiCE (closed 2025-09-08; terms not disclosed on announcement); prior $100M Series C 2024-06” source
    • MCP support “via official adapter — Cognigy MCP” → “yes — MCP client via MCP Node in Cognigy.AI (since 2025-04); standalone @cognigy/mcp-server npm package now deprecated in favour of the NiCE Cognigy plugin” source
    #195