Vectorize
PulseGate's liveness check found it on 3 Oct 2026; it has been in the index since 30 Jun 2026. How this is checked
Vectorize provides an open-source agent memory system designed to help AI agents retain and utilize user-specific context over time. Its primary function is to enable agents to remember user preferences, history, and decisions, ensuring that each user’s context is persistent and remains separate from others. The system is model-agnostic, allowing integration with any large language model (LLM) without loss of learned information when switching models.
Inferred · not functionally tested
Overview
5 featuresPurpose: Enabling AI agents to retain and learn from user interactions and mistakes over time.
Inferred · not functionally tested
Audience: AI developers and researchers
Inferred · not functionally tested
Functions: rag, agents
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, api_only, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: vectorize.io. These links do not verify the individual claims.
In the Memory & skills space, Vectorize takes a focused approach. Inferred · not functionally tested: It focuses on enabling AI agents to retain and learn from user interactions and mistakes over time. Inferred · not functionally tested: It is built as an open-source project for AI developers and researchers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: It runs on the web, the command line, and API, and it can be self-hosted.
It is developed by Vectorize Contributors, and it first shipped in 2025. Development happens publicly on GitHub with 17.8k stars and 1.1k commits in the last 90 days. Inferred · not functionally tested: Key capabilities include persistent memory, cross-session recall, and pattern detection. Inferred · not functionally tested: Catalogued interfaces include a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Persistent memory
- Cross-session recall
- Pattern detection
- Model-agnostic
- Fast search
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- x-nextjs-prerender header · /_next/static/ in the HTML · __next_f in the HTML
- openai
- bgpt- in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
- Indexed16 Jul · 14:26 UTCWe built a customer support agent that learns seen via Hacker News firehose (Algolia)Source: Hacker News firehose (Algolia) · Open
Frequently asked questions about Vectorize
- What does Vectorize do?
- Inferred · not functionally tested: Vectorize focuses on enabling AI agents to retain and learn from user interactions and mistakes over time. It is catalogued under Memory & skills on PulseGate.
- Who is Vectorize for?
- Inferred · not functionally tested: Vectorize is an open-source project built for AI developers and researchers.
- Does Vectorize have a free plan?
- Basis unknown · not verified: Yes — Vectorize is open source under the MIT license and free to use.
- What platforms does Vectorize run on?
- Basis unknown · not verified: Vectorize runs on the web, the command line, and API. It can also be self-hosted.
- Is Vectorize still maintained?
- PulseGate's liveness check found it on 3 Oct 2026. Its GitHub repository shows 1.1k commits in the last 90 days.
- Who makes Vectorize?
- Vectorize is developed by Vectorize Contributors.
- How long has Vectorize been around?
- Vectorize first shipped in 2025.
- Is Vectorize open source?
- Basis unknown · not verified: Yes — Vectorize is open source under the MIT license.
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