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kontexta

Provides shared local memory workspace for AI coding agents with vault, journal, and command execution.

Developer toolsSelf-hostedFor developersAgents
kontexta.dev ↗Launched on Product Hunt · 2026-06-02
At a glanceswept 2026-09-19
For
Development teams using multiple AI coding agents who need shared memory across tools.
Price
Price not read
Use
Emerging1.8k npm installs a month
Activity
Actively maintainednothing dated on the site
Company
founding year not on record
Runs as
Self-hosted
What people do with it
  • Share context and memory between different AI coding agents
  • Reduce token consumption by retrieving only necessary code files
  • Auto-generate summaries from agent tool calls and interactions
Alternatives in Developer toolsby use, among tools still maintained
  • TwilioSends and receives SMS, email, and voice messages through APIs and manages customer conversations with AI.

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  • KiroConverts prompts into executable specifications and implements code with parallel agents that validate correctness.

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  • DevinExecutes software engineering tasks including code migrations, bug fixes, testing, and documentation generation across multiple repositories.

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  • TestMu AI (Formerly LambdaTest)Runs automated tests on web and mobile applications using AI agents across browsers, devices, and environments at scale.

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  • ReplitBuilds and deploys web apps, websites, and agents from natural language descriptions.

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All Developer tools tools →

Questions this page answers
  • What is kontexta?

    Provides shared local memory workspace for AI coding agents with vault, journal, and command execution.

  • Who is kontexta for?

    Development teams using multiple AI coding agents who need shared memory across tools.

  • Do people use kontexta?

    Emerging: 1.8k npm installs a month.

  • Is kontexta still maintained?

    Actively maintained.

  • What are alternatives to kontexta?

    In Developer tools, by use: Twilio, PostHog, Kiro, Devin, TestMu AI (Formerly LambdaTest), Replit.

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 row 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.