StStreamient logo
Productivity

Streamient

Shared, inspectable AI memory layer for teams and AI tools.

At a glance

Free · Source review 2026-11-02
Price & billing

Official homepage reviewed 2026-11-02: open source (AGPL-3.0), 0 per-user fees, free accounts now available; self-hosting is supported.

Free allowance

Official homepage reviewed 2026-11-02: open source (AGPL-3.0), 0 per-user fees, free accounts now available; self-hosting is supported.

Best suited to

AI-native teams that want shared, inspectable memory

Fit is editorial guidance, not a measured result.
Platforms

Access: not separately verified. Operating systems not separately verified.

Published-source facts and editorial guidance. No product test is implied. Confirm current conditions before purchase.

No product screenshot is claimed for this listing. Use the official website ↗ to inspect the current interface.

What to know before choosing

Good fit

AI-native teams that want shared, inspectable memory

Limits and trade-offs

Self-hosting and MCP setup are part of the model; it is infrastructure, not a one-click chatbot.

Plans and free allowances

Official homepage reviewed 2026-11-02: open source (AGPL-3.0), 0 per-user fees, free accounts now available; self-hosting is supported.

Evidence

Official homepage ↗ (reviewed 2026-11-02)

Official published page review; no authenticated product test

Dates: Last reviewed 2026-11-02. Last reviewed is the latest source or editorial review date; it is not a content-change date.

A closer look at Streamient

Streamient (formerly Kumbukum) is an open-source memory layer for AI-native teams and MCP tools: it turns notes, decisions, URLs, email and Git into shared, inspectable memory, with 0 per-user fees and free accounts available.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Streamient

  • Teams that want one shared memory layer for humans and AI tools
  • Users who want self-hostable, inspectable AI memory

When to choose something else

  • Users who want a hosted tool with no setup or self-hosting decisions
  • Teams that want memory kept away from AI tools rather than shared through MCP

A practical starting workflow

  1. Capture notes, decisions, URLs, email and Git into Streamient
  2. Keep the shared memory layer inspectable and editable
  3. Connect AI tools through MCP so they read and write the same records
  4. Search, correct and export memory instead of starting over each session

Check before committing

  • Vendor claims on the official page are not guarantees; actual results, quality and availability must be tested in the product.
  • Prices and features may change after this review; recheck the official site before purchase or signup.

Common questions

What is Streamient?

An open-source memory layer for teams and MCP tools, formerly Kumbukum, that turns scattered knowledge into shared, inspectable memory.

Official homepage ↗

How much does Streamient cost?

Open source with 0 per-user fees and free accounts available; it can also be self-hosted.

Official homepage ↗

Which AI tools does it work with?

Claude, Cursor, ChatGPT, Windsurf, Zed, VS Code and any MCP client.

Official homepage ↗

Compare approaches for this task

  • 10Web — Small businesses, freelancers, and agencies that want a website, store, or web app generated from a prompt and hosted on managed WordPress.
  • 37x — Shoppers who want a quick price comparison across many shops

Sources and checks

Last source review is not a date of product testing. No rating or test result is implied by inclusion. Check the current plan and terms before buying.