HTTP 200 verified twice
Finding your next stop…
Loading the latest directory information.
Loading the latest directory information.
Start here for the decision-making essentials: what Vectorize does, who it is for, how it is accessed, and the first-party sources behind this profile.
See official pricing
Read-only public captures of Vectorize’s homepage. Screenshots are dated, never live embeds, and open full-screen.
Vectorize Hindsight is an MIT-licensed open source agent memory system that provides remember, recall, and reflect tools via MCP. It runs self-hosted via Docker or as a managed cloud service, with Python, TypeScript, and REST API clients.
Short answers to the questions buyers and builders commonly ask about Vectorize. Each answer cites the shared ledger below, where every source is listed once.
Agent memory with remember, recall, and reflect tools so agents learn from experience and
Your agent gets remember, recall, and reflect tools automatically.
Adding long-term memory to AI agents so they avoid repeating mistakes and compound learnin
That works until your agent encounters the same problem twice and makes the same mistake both times.
Works with any MCP-capable agent, including Claude Code and Cursor
Works with any MCP-capable agent. Your agent gets remember, recall, and reflect tools automatically.
Installed via npx add-skill vectorize-io/hindsight --skill hindsight-docs
npx add-skill vectorize-io/hindsight --skill hindsight-docs
Hands-on implementation services, team training, and architecture consulting for integrati
We offer hands-on implementation services, team training, and architecture consulting to get your agents learning faster.
Yes — open source agent memory
Open source agent memory. Your agents learn from mistakes and get better over time.
This profile connects the jobs Vectorize is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
Each fact points to a recorded source, making it easy to distinguish verified product information from claims that need checking.
HTTP 200 verified twice
Vectorize — Agents That Learn From Every Conversation
Product/company is named Vectorize, found at vectorize.io · Described as open source agent memory where agents learn from mistakes and get better over · MIT licensed
Vectorize
Yes — open source agent memory
MIT
Agent memory with remember, recall, and reflect tools so agents learn from experience and improve over time
Adding long-term memory to AI agents so they avoid repeating mistakes and compound learning across agents and users
remember, recall, and reflect tools exposed to agents
Works with any MCP-capable agent, including Claude Code and Cursor
Installed via npx add-skill vectorize-io/hindsight --skill hindsight-docs
Hands-on implementation services, team training, and architecture consulting for integrating Hindsight
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
This profile is being checked for dated releases and material product changes. Nothing appears here until the exact date and event can be verified from a recorded source.
Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Vectorize. They may complement it rather than replace it, and are not presented as integrations or endorsements.
github.com/vectorize-io
Open source agent memory for agents that learn, recall, and improve over time · MIT licensed · Self-hostable via a single Docker command
Open source agent memory that learns from experience, recalls what matters, and gets better over time
Memory that compounds across every agent and every user for agents that work together, attend meetings, learn from each other, and take on complex tasks
MIT (open source)
Self-hosted via a single Docker command
MCP Server; works with any MCP-capable agent
remember, recall, and reflect tools registered automatically for MCP-capable agents
Hindsight Cloud: Pay-as-you-go billed on token usage with no fixed monthly fee and no seat pricing
Enterprise: Custom deployment, dedicated support, and SLAs for production workloads at scale
SSO and RBAC available on the Enterprise plan
Four retrieval strategies running in parallel with token-budget optimization
Positioned as not RAG and not a vector database wrapper
No schema design, no manual tagging, no migration; agent builds memory from the first conversation
94.6% on LongMemEval, peer-reviewed and independently reproducible
LongMemEval benchmark code is open source
Self-hostable via Docker: docker run -p 8888:8888 -e HINDSIGHT_API_LLM_API_KEY=$OPENAI_API_KEY ghcr.io/vectorize-io/hindsight
Managed Hindsight cloud option where the vendor handles infrastructure, scaling, backups, and upgrades with the same API and MCP interface
Full REST API documented at hindsight.vectorize.io/api-reference
Python, TypeScript, and MCP clients supported
No feature gating, no usage limits, and no phone-home telemetry
Open source agent memory
Vectorize — remote-first startup on a mission to transform enterprise AI; official site https://vectorize.io and GitHub https://github.com/vectorize-io
