Hyperspell

https://www.ycombinator.com/companies/hyperspell

YC F25 'company brain': connects 50+ sources (Slack, Gmail, Notion, Drive...) into a permission-aware context graph served to agents via API/SDK, returning structured results or LLM-ready summaries; learns from queries over time.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 36 cited facts, 0 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T2
Created
2024 vendor fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Funding
$2M Seed · 2025-09 vendor fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix
Accelerator
yc-f25 vendor fix
SDK languages
python, rest, typescript registry fix
Protocols
mcp-server vendor fix
Compliance
gdpr, hipaa, soc2-type2 vendor fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
extraction
unit
document
governance
opaque
conflict
none

When to use

Optimised for: workplace connectors + cross-source recall

Anti-fit: not for non-workplace consumer use cases

Pros & cons

Pros

Spell-as-memory framing — invocations are first-class, not just facts; useful for skill-heavy agents.

Cons

Niche framing; smaller community; integration story still maturing.

Claims & capabilities

YC F25. Founders previously scaled API products to $30M ARR.

Technical surface

API surface
searched not found
Backend storage
searched not found
Deployment
Cloud API + SDK (no self-hosted option found)
Embedding model
searched not found
Multi-tenancy
searched not found
MCP
unclear — official hyperspell-mcp repo is archived; current integration via SDKs/CLI into Claude Code, Codex, Cursor
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 (35 cited facts, 0 third-party)

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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
    • Pricing first recorded as “not public — book a demo” source
    • MCP support first recorded as “unclear — official hyperspell-mcp repo is archived; current integration via SDKs/CLI into Claude Code, Codex, Cursor” source
    #219