Catalog Systems Dedicated memory layers Hindsight (Vectorize)

Hindsight (Vectorize)

https://hindsight.vectorize.io/

Standalone memory service from Vectorize. Open source. Biomimetic four-network design (World, Bank, Observation, Opinion). Ships an MCP memory server.

Active · Verified 2026-10-22 · fresh as of 2026-10-22 · 63 cited facts, 6 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Type
Vector + reflection / summarisation vendor fix
Tier
T1
Section
Dedicated memory layers
Created
2025-10 vendor fix
Latest release
v1.1.0 (2026-10-21) registry fix
License
MIT repo fix
GitHub
vectorize-io/hindsight — ~44.6k stars, last commit 2026-10 repo fix
Pricing
OSS self-host free (MIT); Hindsight Cloud pay-as-you-go credits ($5 free credit on GitHub sign-up); Enterprise single-tenant custom vendor fix
Funding
total $3.6M (Seed led by True Ventures, 2024-04) vendor fix
Freshness
2026-10-22 fix
Layer
agent-infra repo fix
Licensing
open-core vendor fix
Deployment locus
hybrid vendor fix
Platform vs product
platform vendor fix
SDK languages
python, rest, typescript vendor fix
Protocols
mcp-server vendor fix
Compliance
soc2-type2 vendor fix
Developer activity
OpenRank 57.31 (12-mo avg 21.38) · 321 participants — 2026-09 third-party fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
long-term
update
consolidation
unit
episode
governance
opaque
conflict
none

When to use

Optimised for: retrieval engineering + reflection / summarisation as service

Anti-fit: searched not found

Pros & cons

Pros

Built on Vectorize's RAG pipeline expertise — retrieval tuning is a first-class concern; strong Pydantic-AI integration story.

Cons

Newer entrant with smaller adoption; positioning straddles RAG and memory which can muddy the value prop vs pure-play layers.

Claims & capabilities

Reports 91% on LongMemEval (highest among standalone memory services per their VentureBeat post).

Technical surface

API surface
REST, SDK: Python, TS
Backend storage
custom
Deployment
Both — managed Hindsight Cloud; Enterprise single-tenant (Vectorize cloud, customer AWS/GCP/Azure, or on-prem); self-host via Docker, Helm or pip (Postgres + pgvector)
Embedding model
multiple supported
Multi-tenancy
namespace
MCP
native (first-party) — Hindsight MCP
A2A
not documented publicly
OpenTelemetry
not documented publicly

Compare Hindsight (Vectorize) with…

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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.

  • 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.

  • 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).

Sources (62 cited facts, 6 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 “v0.6.0 2026-05-05” → “v1.1.0 (2026-10-21)” source
    • Pricing “Free + paid” → “OSS self-host free (MIT); Hindsight Cloud pay-as-you-go credits ($5 free credit on GitHub sign-up); Enterprise single-tenant custom” source
    • Funding / ownership “$4M total Seed · 2024-10” → “total $3.6M (Seed led by True Ventures, 2024-04)” source
    • Deployment “Both” → “Both — managed Hindsight Cloud; Enterprise single-tenant (Vectorize cloud, customer AWS/GCP/Azure, or on-prem); self-host via Docker, Helm or pip (Postgres + pgvector)” source
    #195

Related systems

Referenced by (5)

  • Haystack (framework) integrates with — Haystack integrations directory has a Hindsight integration page ("Add open-source long-term memory to your Haystack agents with Hindsight's retain, recall, and reflect tools"). (verified 2026-10-29)
  • Hindsight MCP builds on — MCP server for Hindsight memory layer; gives any MCP agent access to Vectorize-tuned retrieval.
  • LangChain (framework) integrates with — LangChain's all-providers integrations page lists Hindsight: "Open-source long-term memory engine for AI agents". (verified 2026-10-29)
  • Pydantic-AI + Hindsight builds on — Long-term memory typically added via third-party integration (e.g. Hindsight)
  • Vercel AI SDK integrates with — AI SDK docs have a Hindsight community provider page. (verified 2026-10-29)