Salesforce Agentforce / Einstein
https://www.salesforce.com/artificial-intelligence/
Agentforce agents grounded in Data Cloud — unified customer record across silos. Memory is the CRM record made available to AI; not an independent memory system. AI reads/writes through the existing data model.
Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 37 cited facts, 2 with a third-party source · 1 recorded change · Suggest a correction
At a glance
- Type
- Customer 360 + Data Cloud as context layer vendor fix
- Tier
- T2
- Created
- 1999 (Salesforce founded 1999; Einstein AI launched 2016; Agentforce launched 2024) third-party fix
- Latest release
- not applicable — not OSS fix
- License
- not applicable — not OSS fix
- GitHub
- not applicable — no GitHub repo fix
- Pricing
- Flex Credits $500 per 100K credits; $2/conversation; user license $5/user/mo + credits; Agentforce add-ons $125–150/user/mo; Agentforce 1 Editions from $550/user/mo vendor fix
- Funding
- Public company (NYSE:CRM) vendor fix
- Freshness
- 2026-10-22 fix
- Layer
- agent-infra repo fix
- Licensing
- commercial vendor fix
Memory taxonomy
- storage
- relational
- retrieval
- similarity
- persistence
- long-term
- update
- overwrite
- unit
- fact
- governance
- auditable
- conflict
- pii
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
Memory grounded in Salesforce CRM data — customer / opportunity / case context is structurally first-class.
Cons
Salesforce-only; pricing tied to Einstein / Agentforce tier; ecosystem dependency.
Claims & capabilities
Dominant CRM market position. Agentforce GA'd 2024.
Technical surface
- API surface
- REST, SOAP, SDK: many
- Backend storage
- custom (Salesforce platform)
- Deployment
- searched not found
- Embedding model
- locked
- Multi-tenancy
- Hyperforce: dedicated functional domain per tenant; multi-tenant with isolation + zero-trust controls; no LLM training on customer data
- MCP
- via official adapter — Salesforce MCP
- A2A
- no A2A protocol support advertised — vertical product, no A2A integration documented
- OpenTelemetry
- first-class — Hyperforce + Datadog + OTel
Alternatives to Salesforce Agentforce / Einstein → 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, 2 third-party)
Each fact links to the page it came from; the badge says who published it (how to read sources).
- What it is Customer 360 + Data Cloud as context layer vendor
- What it does & what's distinct Agentforce agents grounded in Data Cloud — unified customer record across silos. Memory … vendor
- Claims / benefits Dominant CRM market position. Agentforce GA'd 2024. vendor
- Modalities text vendor
- Created 1999 (Salesforce founded 1999; Einstein AI launched 2016; Agentforce launched 2024) third-party
- Funding Public company (NYSE:CRM) vendor
- Customers / scale Dominant CRM market position (150k+ customers) vendor
- Pricing Flex Credits $500 per 100K credits; $2/conversation; user license $5/user/mo + credits; … vendor
- Founders / pedigree Marc Benioff (CEO/co-founder) and Parker Harris (co-founder) third-party
- Memory volume / scale internal — undisclosed (dominant CRM market) vendor
- API surface REST, SOAP, SDK: many vendor
- Backend storage custom (Salesforce platform) vendor
- Multi-tenancy Hyperforce: dedicated functional domain per tenant; multi-tenant with isolation + zero-t… vendor
- Encryption AES-256 (Shield Platform Encryption) at rest with customer-managed keys + revocation; en… vendor
- SSO / RBAC SSO + RBAC vendor
- Embedding model locked vendor
- Tombstoning soft-delete only vendor
- Schema evolution schema with migration vendor
- Namespace primitives per-user vendor
- Contradiction handling always overwrite (last-write-wins) vendor
- MCP support via official adapter — Salesforce MCP vendor
- OTel first-class — Hyperforce + Datadog + OTel vendor
- Webhooks / events Platform Events + Webhooks vendor
- Import / export CSV, JSON, SOQL exports; Data Cloud vendor
- Validated verticals contact center, customer support, sales, e-commerce, voice agents vendor
- Time to running <1week to weeks-to-months (CRM + telephony integration) vendor
- Anti-fit not for non-customer-facing use cases vendor
- Optimised for cross-channel customer graph + agent handoff + CRM integration vendor
- Adjacent infrastructure requires CRM + telephony / chat platform integration vendor
- Pros Memory grounded in Salesforce CRM data — customer / opportunity / case context is struct… vendor
- Cons Salesforce-only; pricing tied to Einstein / Agentforce tier; ecosystem dependency. vendor
- Project & sources Agentforce vendor
- architecture-deployment-locus cloud vendor
- licensing-bucket commercial vendor
- positioning-platform-vs-product both vendor
- taxonomy-three-layer-rollup agent-infra repo
What changed
Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)