Agent Frameworks

Chidori

Reactive runtime for durable AI agents

Status
Generally available
Last checked
Checked · Oct 14, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

Chidori is a reactive runtime designed to build and deploy durable AI agents. It offers a robust framework for developers looking to create resilient, stateful applications with AI capabilities.

Chidori stands out as a specialized reactive runtime for building durable AI agents, offering unique features for managing complex, stateful applications.

When it fits — and when it doesn’t

A good fit for

  • Teams building long-running AI applications requiring durable state management

  • Projects needing a robust runtime for complex, stateful workflows

Look elsewhere if

  • Applications that do not require persistent state or recovery capabilities

  • Scenarios where real-time performance is critical and cannot tolerate the overhead of state management

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond JavaScript and Python

    Primary focus on JavaScript with secondary support for Python, no official support for other languages

  2. 02

    Performance issues under heavy load

    Reports of increased latency and resource consumption when handling large numbers of concurrent AI agents

What it does well

  • Reactive runtime for building durable AI agents

  • Stateful application support

  • Highly customizable and extensible architecture

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

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Set up Chidori

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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