Langflow Memory vs n8n AI Agent Memory
Langflow Memory vs n8n AI Agent Memory: side-by-side comparison of two framework-embedded memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Langflow Memory · n8n AI Agent Memory
Cost & capability
| Langflow Memory | n8n AI Agent Memory | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 58 | 60 |
| Cost tier | free | premium |
| $/Mtok input | 0 | — |
| $/Mtok output | 0 | — |
| Use cases | Memory Augmented Chat, Scoped Agentic | Scoped Agentic, Memory Augmented Chat, Long Running Session |
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 Memory | n8n AI Agent Memory | |
|---|---|---|
| Capability composite | 58 | 60 |
| Cost tier | free | premium |
| Use cases | Memory Augmented Chat, Scoped Agentic | Scoped Agentic, Memory Augmented Chat, Long Running Session |
| Type | SQLite buffer + Mem0/Redis integrations | Pluggable buffer + Postgres/Redis + vector |
| Created | 2023 (launched 2023 by Logspace; acquired DataStax Apr 2024) | 2019-10 (n8n platform launched Oct 2019; AI Agent node added in n8n 1.x era 2023-2024) |
| Pricing | OSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: … | Free self-hosted Community Edition; Cloud: Starter €20/mo; Pro €50/mo; Business $800/mo (40k executions); Enterpris… |
| Funding | Acquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs… | $253.5M total; Series C $180M Oct 2025 led by Accel (NVentures/Nvidia participating); prior Series B €55M Mar 2025 … |
| Backend storage | pluggable | searched not found |
| Deployment | OSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear | Self-hosted (Docker / npm); cloud via n8n.cloud SaaS |
| API surface | REST + Python SDK; MCP server endpoint | searched not found |
| Embedding | multiple supported | searched not found |
| Multi-tenancy | namespace | searched not found |
| MCP | native (first-party) — Langflow MCP server | via official adapter — n8n MCP node |
| OpenTelemetry | via adapter — LangSmith / Arize | via adapter — Langfuse / OTel community |
| Optimised for | visual flow building + Mem0/Redis integrations | low-code workflow + pluggable memory |
| Anti-fit | not for code-first only stacks | not for code-first agent stacks (low-code workflow positioning) |
At a glance
| Langflow Memory | n8n AI Agent Memory | |
|---|---|---|
| Section | Framework-embedded memory | Framework-embedded memory |
| Tier | T1 | T1 |
| Type | SQLite buffer + Mem0/Redis integrations | Pluggable buffer + Postgres/Redis + vector |
| Created | 2023 (launched 2023 by Logspace; acquired DataStax Apr 2024) | 2019-10 (n8n platform launched Oct 2019; AI Agent node added in n8n 1.x era 2023-2024) |
| Pricing | OSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: … | Free self-hosted Community Edition; Cloud: Starter €20/mo; Pro €50/mo; Business $800/mo (40k executions); Enterpris… |
| Funding | Acquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs… | $253.5M total; Series C $180M Oct 2025 led by Accel (NVentures/Nvidia participating); prior Series B €55M Mar 2025 … |
| Backend storage | pluggable | searched not found |
| Deployment | OSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear | Self-hosted (Docker / npm); cloud via n8n.cloud SaaS |
| API surface | REST + Python SDK; MCP server endpoint | searched not found |
| Embedding | multiple supported | searched not found |
| Multi-tenancy | namespace | searched not found |
| MCP | native (first-party) — Langflow MCP server | via official adapter — n8n MCP node |
| A2A | searched not found | searched not found |
| OpenTelemetry | via adapter — LangSmith / Arize | via adapter — Langfuse / OTel community |
| Optimised for | visual flow building + Mem0/Redis integrations | low-code workflow + pluggable memory |
| Anti-fit | not for code-first only stacks | not for code-first agent stacks (low-code workflow positioning) |
Taxonomy
| Axis | Langflow Memory | n8n AI Agent Memory |
|---|---|---|
| storage | relational | vector |
| retrieval | injection | similarity |
| persistence | cross-session | cross-session |
| update | append-only | append-only |
| unit | episode | episode |
| governance | inspectable | inspectable |
| conflict | append-only | append-only |
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.
n8n AI Agent Memory
Pros: n8n's workflow-orchestration backbone gives agents memory tied to durable workflow state — not just chat history.
Cons: Memory features are still maturing relative to dedicated memory layers; thin documentation on eviction policy.