Supermemory

https://supermemory.ai/

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.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 74 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2024-02 vendor fix
License
MIT repo fix
Pricing
OSS vendor fix
Funding
$6M total Seed · 2025-10 third-party fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
open-source repo fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
SDK languages
python, rest, typescript vendor fix
Protocols
mcp-server repo fix
Compliance
gdpr, hipaa, soc2-type2 vendor fix

Memory taxonomy

storage
graph
retrieval
similarity
persistence
long-term
update
extraction
unit
document
governance
opaque
conflict
llm-arbitrate

When to use

Optimised for: multi-channel capture (API, app, browser ext, MCP) + RAG over personal graph

Anti-fit: no anti-fit explicitly stated

Pros & cons

Pros

Simple universal API surface — wraps memory in a single SDK call without forcing extraction/retrieval choices; YC-backed.

Cons

Architectural opacity is the cost of simplicity — limited control over structure or eviction; small team.

Claims & capabilities

Reports #1 on LongMemEval, LoCoMo, and ConvoMem (self-reported, late 2025). Strong on Multi-Session (71.43%) and Temporal Reasoning (76.69%) on LongMemEval-S.

Technical surface

API surface
REST, SDK: Python, JS/TS
Backend storage
custom
Deployment
Both
Embedding model
multiple supported
Multi-tenancy
Enterprise: deploy in customer VPC for full tenant isolation; standard SaaS uses logical namespace per user/org
MCP
native (first-party) — claude-supermemory plugin + MCP
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 (73 cited facts, 4 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
    • Latest release first recorded as “server-v0.0.9 (2026-10-12); Python SDK v5.0.0 (2026-10-06)” source
    #195

Related systems

Referenced by (2)

  • claude-supermemory builds on — Claude Code plugin packaging Supermemory for per-project memory.
  • Vercel AI SDK integrates with — AI SDK docs have a Supermemory community provider page. (verified 2026-10-29)