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.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 39 cited facts, 1 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
searched not found fix
Latest release
v4.2.10 (2026-10-17) repo fix
Funding
searched not found fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
open-source repo fix
Deployment locus
local vendor fix
Platform vs product
product vendor fix
SDK languages
python repo fix
Protocols
mcp-server repo fix

Memory 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
yes — stdio server (slm mcp) and local HTTP /mcp endpoint, configurable tool profiles
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.

  • Letta / MemGPT T1

    Originated as MemGPT (UC Berkeley), where the model pages its own memory between context, recall and archival tiers. The product now centres on Letta Code, a stateful agent harness whose agents rewrite their own memory, skills and prompts over time.

  • Memori T2

    Structured, persistent memory layer for AI agents. Open source.

Sources (38 cited facts, 1 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-22
    • License “not applicable — not OSS” → “AGPL-3.0-or-later (commercial licence available)” source
    • Latest release “not applicable — not OSS” → “v4.2.10 (2026-10-17)” source
    • Pricing first recorded as “free / open source (AGPL-3.0); commercial licence terms unpriced” source
    • MCP support first recorded as “yes — stdio server (slm mcp) and local HTTP /mcp endpoint, configurable tool profiles” source
    #195

Related systems

Referenced by (1)

  • LangChain (framework) integrates with — LangChain's all-providers integrations page lists SuperLocalMemory: "Local-first chat message history stored in SQLite with no cloud dependencies". (verified 2026-10-29)