Langflow Memory
https://docs.langflow.org/memory
Agent component has built-in chat memory enabled by default, keyed by session ID. Custom session IDs isolate per-user history. Bundled Mem0 + Redis integrations for external memory layers.
At a glance
- Type
- SQLite buffer + Mem0/Redis integrations
- Tier
- T1
- Section
- Framework-embedded memory
- Created
- 2023 (launched 2023 by Logspace; acquired DataStax Apr 2024)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- OSS free (MIT); DataStax Langflow cloud was free tier + paid; DataStax cloud deprecated Mar 2026. Self-host infra: …
- Funding
- Acquired by DataStax Apr 2024; DataStax being acquired by IBM (announced Feb 2025); Langflow original company (Logs…
Taxonomy
- storage
- relational
- retrieval
- injection
- persistence
- cross-session
- update
- append-only
- unit
- episode
- governance
- inspectable
- conflict
- append-only
When to use
Optimised for: visual flow building + Mem0/Redis integrations
Anti-fit: not for code-first only stacks
Pros & cons
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.
Claims & capabilities
Open source. Cloud free tier.
Technical surface
- API surface
- REST + Python SDK; MCP server endpoint
- Backend storage
- pluggable
- Deployment
- OSS self-hosted (all major clouds); DataStax cloud deprecated; IBM acquisition path unclear
- Embedding model
- multiple supported
- Multi-tenancy
- namespace
- MCP
- native (first-party) — Langflow MCP server
- A2A
- searched not found
- OpenTelemetry
- via adapter — LangSmith / Arize
Compare Langflow Memory with…
Similar systems
Other framework-embedded memory in the catalog, ranked by inbound references.
- LangGraph Persistence T2
Distinct from LangMem. Built-in checkpointer saves graph state per super-step (short-term, thread-scoped). Store System adds long-term hierarchical key-value memory across threads with optional vector search + TTL. Postgres / Mongo / Redis stores for production.
- AutoGen Memory T2
ListMemory chronological context + teachable agents that vectorise corrections. Integrates with Mem0/Zep rather than building deep memory natively.
- CrewAI Memory T2
Memory subsystem inside the CrewAI orchestration framework; integrates with Mem0 for the long-term tier.
- AGiXT Adaptive Memory T2
Open-source AI automation platform. Routes between short-term and long-term memory adaptively across any LLM provider; plugin system for storage backends. Memory managed at the instruction-management layer — task context, instruction state, conversation history as unified agent state.
- Agno (Phidata) Memory T2
Agno (formerly Phidata). AgentStorage persists sessions to a DB; AgentMemory auto-classifies/store user preferences and conversation summaries. Single-line integrations with LanceDB, Pinecone, Weaviate, Qdrant.
- Botpress LLMz T1
Per-plan vector-DB storage quota + LLMz autonomous engine (in-session working memory) + Knowledge Base (semantic search over uploaded docs). Long-term user memory persists across sessions.
Related systems
References (1)
- Mem0 integrates with — Bundled Mem0 + Redis integrations for external memory layers.