Langflow Memory vs Lindy AI Memory

Langflow Memory vs Lindy AI Memory: side-by-side comparison of two framework-embedded memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.

Langflow Memory · Lindy AI Memory

Cost & capability

Langflow MemoryLindy AI Memory
Capability bandcompetentcompetent
Capability composite5855
Cost tierfreepremium
$/Mtok input0
$/Mtok output0
Use casesMemory Augmented Chat, Scoped AgenticLong Running Session, Memory Augmented Chat, Scoped Agentic

Where they differ (16)

Rows where both sides have data and the values disagree — the shortlist of dimensions that actually distinguish these two systems.

Langflow MemoryLindy AI Memory
Capability composite5855
Cost tierfreepremium
Use casesMemory Augmented Chat, Scoped AgenticLong Running Session, Memory Augmented Chat, Scoped Agentic
TypeSQLite buffer + Mem0/Redis integrationsSelective KV memory injected into prompt
Created2023 (launched 2023 by Logspace; acquired DataStax Apr 2024)2023-01 (Lindy AI founded and launched January 2023 by Flo Crivello; YC W23)
PricingOSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: …Free plan; Plus $49.99/mo; Pro $99.99/mo; Max $199.99/mo; Enterprise custom with SSO/SCIM/audit logs
FundingAcquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs…$49.9M total; Series B $35M Jan 2023; Battery Ventures key investor; YC W23
Backend storagepluggablesearched not found
DeploymentOSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclearManaged cloud only (SaaS)
API surfaceREST + Python SDK; MCP server endpointsearched not found
Embeddingmultiple supportedsearched not found
Multi-tenancynamespacesearched not found
MCPnative (first-party) — Langflow MCP serversearched not found
OpenTelemetryvia adapter — LangSmith / Arizesearched not found
Optimised forvisual flow building + Mem0/Redis integrationsselective high-signal memory injection
Anti-fitnot for code-first only stacksnot for code-first developers

At a glance

Langflow MemoryLindy AI Memory
SectionFramework-embedded memory Framework-embedded memory
TierT1 T1
TypeSQLite buffer + Mem0/Redis integrations Selective KV memory injected into prompt
Created2023 (launched 2023 by Logspace; acquired DataStax Apr 2024) 2023-01 (Lindy AI founded and launched January 2023 by Flo Crivello; YC W23)
PricingOSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: … Free plan; Plus $49.99/mo; Pro $99.99/mo; Max $199.99/mo; Enterprise custom with SSO/SCIM/audit logs
FundingAcquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs… $49.9M total; Series B $35M Jan 2023; Battery Ventures key investor; YC W23
Backend storagepluggable searched not found
DeploymentOSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear Managed cloud only (SaaS)
API surfaceREST + Python SDK; MCP server endpoint searched not found
Embeddingmultiple supported searched not found
Multi-tenancynamespace searched not found
MCPnative (first-party) — Langflow MCP server searched not found
A2Asearched not found searched not found
OpenTelemetryvia adapter — LangSmith / Arize searched not found
Optimised forvisual flow building + Mem0/Redis integrations selective high-signal memory injection
Anti-fitnot for code-first only stacks not for code-first developers

Taxonomy

AxisLangflow MemoryLindy AI Memory
storagerelationalkv
retrievalinjectioninjection
persistencecross-sessioncross-session
updateappend-onlyextraction
unitepisodefact
governanceinspectableuser-controllable
conflictappend-onlyllm-arbitrate

Pros & cons

Langflow Memory

Pros: Strong DataStax / Astra DB integration gives it a managed-database memory backend out of the box.

Cons: Visual-builder positioning competes with Flowise without a clear differentiator on memory specifically.

Lindy AI Memory

Pros: Lifelong-agent positioning — memory isn't a feature but the product premise; most opinionated about memory of any framework.

Cons: Closed ecosystem; lock-in risk is highest of the framework-embedded options.

Rows last verified 2026-05-14 / 2026-05-14. Data is CC-BY-4.0 — see how to read this.