SuperLocalMemory
https://www.superlocalmemory.com/
Cloud-free agent memory using information-geometric retrieval (Fisher-Rao distance + BM25 + entity graph + temporal fusion via 4-channel RRF) instead of LLM calls for scoring and lifecycle. Mode A is the only system to cross 70% LoCoMo with zero API dependency.
At a glance
- Type
- Local-geometric / privacy-first / no LLM scoring
- Tier
- T1
- Section
- Dedicated memory layers
- Created
- searched not found
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- searched not found
- Funding
- searched not found
Taxonomy
- storage
- vector
- retrieval
- similarity
- persistence
- long-term
- update
- extraction
- unit
- fact
- governance
- user-controllable
- conflict
- none
When to use
Optimised for: privacy / no LLM calls / Fisher-Rao+BM25+graph fusion
Anti-fit: not for use cases that require LLM-based scoring or generation in the memory layer
Pros & cons
Pros
Local-first by default keeps PII out of the cloud; lightweight footprint suits on-device agents.
Cons
Local-only constraint limits scale and cross-device sync; smaller ecosystem than cloud-first peers.
Claims & capabilities
74.8% LoCoMo (Mode A, zero LLM), 87.7% (Mode C). AGPL v3. EU AI Act compliance framing. arxiv 2603.14588.
Technical surface
- API surface
- searched not found
- Backend storage
- searched not found
- Deployment
- Local-only (no Docker; no graph DB; no API keys; CPU-only; Mode A zero-LLM)
- 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.