MemWal (Walrus)
https://decrypt.co/365834/agentic-memory-walrus-takes-on-ais-next-big-bottleneck
Walrus is a Sui-blockchain decentralised storage protocol; MemWal is its AI-facing SDK that stores encrypted agent memory on-chain — portable, verifiable, shareable across agent systems with no single-vendor lock-in. Targets production agents needing auditability.
At a glance
- Type
- Decentralised / verifiable on-chain agent memory
- Tier
- T2
- Section
- Dedicated memory layers
- Created
- 2025-01
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- Comparable to centralized models (per Mysten Labs; $WAL token-based usage)
- Funding
- $140M total $2.0B val Private Token Sale · 2025-01
Taxonomy
- storage
- proprietary
- retrieval
- exact-match
- persistence
- lifelong
- update
- append-only
- unit
- document
- governance
- auditable
- conflict
- append
When to use
Optimised for: verifiability + portability + no vendor lock-in (on-chain)
Anti-fit: not for low-latency / high-write-throughput workloads (chain settlement)
Pros & cons
Pros
Walrus decentralized-storage backed memory — first memory layer with on-chain durability.
Cons
Web3-native — adds crypto / decentralization complexity that most teams don't need.
Claims & capabilities
$140M private token sale ($WAL, 2025) at ~$2B protocol valuation. Plugins for OpenClaw and NemoClaw.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Decentralised blockchain storage (Sui blockchain via Walrus protocol; SDK in beta)
- Embedding model
- searched not found
- Multi-tenancy
- searched not found
- MCP
- not documented publicly
- A2A
- not documented publicly
- OpenTelemetry
- not documented publicly
Similar systems
Other dedicated memory layers in the catalog, ranked by inbound references.
- Mem0 T1
Universal memory layer for AI agents. Three concurrent stores (vector + graph + KV); LLM-extracted facts; concurrent retrieval via ThreadPoolExecutor.
- Zep & Graphiti T1
Bi-temporal knowledge graph (event time + ingestion time). Strong on chronological reasoning and contradiction tracking. Graphiti is the open-source core.
- Cognee T1
"Extract–Cognify–Load" pipeline that turns raw input into a typed, queryable knowledge graph for agent recall.
- Hindsight (Vectorize) T1
Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.
- Memvid T2
Single-file memory layer (one .mv2 file). No DB, no server. Append-only sequence of immutable Smart Frames with timestamps + checksums. Native Rust core (rewritten from Python).
- Supermemory T1
Memory engine with API, app, browser extension, and MCP server. Extracts facts, tracks updates, resolves contradictions, auto-forgets expired info. Plugins for Claude Code, OpenCode, OpenClaw, Hermes.