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KoalaFix

Shared memory layer where AI coding agents on a team log decisions and check in files before editing.

Free plan · From $15/user/moActively maintained

KoalaFix: data, price, alternatives
At a glancechecked Oct 29, 2026

not read yet

Use

For
teams running several AI coding agents that keep colliding on work and forgetting decisions
Price
Free plan · From $15/user/mopricing page, read Oct 29, 2026Trial & discounts: 30-day free trial
Activity
Actively maintainedrelease 3 days ago · site updated 3 days ago
Company
KoalaFix Pty Ltd · since 2026privacy policy · per Wikidata
Used for
  • stop two agents from editing the same files
  • share a decision made in one tool with every agent
  • retire outdated team decisions automatically
read off koalafix.com on Oct 29, 2026
Worth knowingcomputed from what we read · each with its source
Pricingpricing page, read Oct 29, 2026

Free plan · From $15/user/mo

Trial & discounts 30-day free trial

The companyeach fact with its source · read Oct 29, 2026
  • Founded2026per Wikidata
  • HeadquartersMelbourneper Wikidata
  • Industrysoftware industryper Wikidata
Your datawhat they publish, each line with its page · read Oct 29, 2026

“Model training Your memory never becomes training data It's never used for training.”

security page ↗

These are KoalaFix's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.

How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP servercom.koalafix/koalafixverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-29
  • Address to connectmcp.koalafix.com/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in LLM operationsby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

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From people who use itnot part of the reading

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Questions this page answers
  • What is KoalaFix?

    Shared memory layer where AI coding agents on a team log decisions and check in files before editing. It is listed in the Atlas under LLM operations and made by KoalaFix Pty Ltd.

  • Who is KoalaFix for?

    teams running several AI coding agents that keep colliding on work and forgetting decisions

  • How much does KoalaFix cost?

    KoalaFix has a free plan; paid plans start at $15/user/mo, per its pricing page on 2026-10-29.

  • Is KoalaFix free?

    Yes, KoalaFix has a free plan, per its pricing page on 2026-10-29.

  • Is KoalaFix still maintained?

    Actively maintained: release 3 days ago · site updated 3 days ago.

  • Who owns KoalaFix?

    KoalaFix is run by KoalaFix Pty Ltd, per its privacy policy (2026-10-29).

  • Does KoalaFix train AI on your data?

    No, per its security page (2026-10-29): “Model training Your memory never becomes training data It's never used for training.”

  • Is KoalaFix safe?

    We do not audit vendors. What KoalaFix publishes, read 2026-10-29: GDPR, CCPA stated on its DPA; on training with your data, “Model training Your memory never becomes training data It's never used for training.”.

  • Does KoalaFix have a free trial?

    Yes, a 30-day free trial, per its pricing page (2026-10-29).

  • How do I cancel KoalaFix?

    In its own words (terms of service, 2026-10-29): “In short: you can cancel Premium or delete your Space at any time, and you can end the Terms with a refund if we breach them and don't fix it.”

  • Does KoalaFix give refunds?

    In its own words (terms of service, 2026-10-29): “If a change would materially reduce the features of a paid plan you're on, we'll give your Admins at least 30 days' notice by email and in the dashboard, and you can cancel before it applies and get a pro-rata refund of prepaid fees for the rest of that month.”

  • What are alternatives to KoalaFix?

    In LLM operations, by use: Mistral, LangChain, Truefoundry, Nerra, supercomputer.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk