Botpress LLMz vs Langflow Memory
Botpress LLMz vs Langflow Memory: side-by-side comparison of two framework-embedded memory systems — architecture, taxonomy, license, pricing, MCP/A2A support, and direct edges.
Botpress LLMz · Langflow Memory
Cost & capability
| Botpress LLMz | Langflow Memory | |
|---|---|---|
| Capability band | competent | competent |
| Capability composite | 55 | 58 |
| Cost tier | premium | free |
| $/Mtok input | — | 0 |
| $/Mtok output | — | 0 |
| Use cases | Memory Augmented Chat, Scoped Agentic, Long 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.
| Botpress LLMz | Langflow Memory | |
|---|---|---|
| Capability composite | 55 | 58 |
| Cost tier | premium | free |
| Use cases | Memory Augmented Chat, Scoped Agentic, Long Running Session | Memory Augmented Chat, Scoped Agentic |
| Type | Vector DB + LLMz engine + KB | SQLite buffer + Mem0/Redis integrations |
| Created | 2017 (Botpress open-sourced on GitHub January 2017, founded by Sylvain Perron and Justin Watson) | 2023 (launched 2023 by Logspace; acquired DataStax Apr 2024) |
| Pricing | Free 500 msgs/mo; Plus $89/mo 1GB Vector DB; Team $495/mo 2GB; Enterprise custom; AI Spend billed separately per LL… | OSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: … |
| Funding | $40M total; Series A $15M 2021; Series B $25M Jun 2025; Inovia Capital backed | Acquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs… |
| Backend storage | searched not found | pluggable |
| Deployment | Both (OSS self-hosted; Botpress Cloud SaaS; private cloud option) | OSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear |
| API surface | searched not found | REST + Python SDK; MCP server endpoint |
| Embedding | searched not found | multiple supported |
| Multi-tenancy | searched not found | namespace |
| MCP | via official adapter — Botpress MCP integration | native (first-party) — Langflow MCP server |
| OpenTelemetry | searched not found | via adapter — LangSmith / Arize |
| Optimised for | conversational AI + per-plan vector quota + KB | visual flow building + Mem0/Redis integrations |
| Anti-fit | searched not found | not for code-first only stacks |
At a glance
| Botpress LLMz | Langflow Memory | |
|---|---|---|
| Section | Framework-embedded memory | Framework-embedded memory |
| Tier | T1 | T1 |
| Type | Vector DB + LLMz engine + KB | SQLite buffer + Mem0/Redis integrations |
| Created | 2017 (Botpress open-sourced on GitHub January 2017, founded by Sylvain Perron and Justin Watson) | 2023 (launched 2023 by Logspace; acquired DataStax Apr 2024) |
| Pricing | Free 500 msgs/mo; Plus $89/mo 1GB Vector DB; Team $495/mo 2GB; Enterprise custom; AI Spend billed separately per LL… | OSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: … |
| Funding | $40M total; Series A $15M 2021; Series B $25M Jun 2025; Inovia Capital backed | Acquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs… |
| Backend storage | searched not found | pluggable |
| Deployment | Both (OSS self-hosted; Botpress Cloud SaaS; private cloud option) | OSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear |
| API surface | searched not found | REST + Python SDK; MCP server endpoint |
| Embedding | searched not found | multiple supported |
| Multi-tenancy | searched not found | namespace |
| MCP | via official adapter — Botpress MCP integration | native (first-party) — Langflow MCP server |
| A2A | searched not found | searched not found |
| OpenTelemetry | searched not found | via adapter — LangSmith / Arize |
| Optimised for | conversational AI + per-plan vector quota + KB | visual flow building + Mem0/Redis integrations |
| Anti-fit | searched not found | not for code-first only stacks |
Taxonomy
| Axis | Botpress LLMz | Langflow Memory |
|---|---|---|
| storage | vector | relational |
| retrieval | similarity | injection |
| persistence | cross-session | cross-session |
| update | extraction | append-only |
| unit | document | episode |
| governance | inspectable | inspectable |
| conflict | llm-arbitrate | append-only |
Pros & cons
Botpress LLMz
Pros: Focused on conversational bot deployments at scale — memory is structured around conversation lifecycle (handoff, escalation, return).
Cons: Bot-builder market positioning narrows applicability; less relevant for general agentic apps.
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.