Rivet Memory Node (Ironclad)
https://rivet.ironcladapp.com/
Open-source visual AI programming environment. Memory is a first-class graph node: stores text block, supports stable IDs (saving same ID overwrites enabling updates), injects stored text into downstream nodes when relevant. Memory is designed and debugged visually.
At a glance
- Type
- Visual-graph first-class memory node
- Tier
- T3
- Section
- Framework-embedded memory
- Created
- 2023 (Rivet launched 2023 by Ironclad)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- OSS free (MIT)
- Funding
- Ironclad (parent): backed by Accel, Sequoia, Y Combinator, BOND; $200M+ ARR; no Rivet-specific funding
Taxonomy
- storage
- kv
- retrieval
- exact-match
- persistence
- session
- update
- overwrite
- unit
- kv-token
- governance
- inspectable
- conflict
- overwrite
When to use
Optimised for: visual-graph programming + first-class memory node
Anti-fit: not for code-first agent developers
Pros & cons
Pros
Visual flow builder for memory composition; Ironclad's contract-AI origin lends domain context.
Cons
Enterprise positioning; smaller mind-share than Flowise / Langflow.
Claims & capabilities
Used by Ironclad's internal teams.
Technical surface
- API surface
- not applicable — research paper
- Backend storage
- not applicable — research paper
- Deployment
- Both (OSS desktop app or self-hosted; remote executor for cloud/production deployment)
- Embedding model
- not applicable — research paper
- Multi-tenancy
- not applicable — research paper
- MCP
- searched not found
- A2A
- not supported
- OpenTelemetry
- searched not found
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.