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OrkaJS

Free#22 of 49 in LLM Application Development Frameworks

OrkaJS: An open-source TypeScript toolkit for custom LLM apps, deployed on your own infrastructure. Ranked #22 of 49 in LLM Application Development Frameworks by our editors (7.2/10); pricing: Free plan; best for javaScript teams building resilient agent workflows.

7.2/10Editor score
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At a glance

  • Editor score
    7.2 / 10
  • Pricing
    Free plan
  • Best for
    JavaScript teams building resilient agent workflows
  • Free plan
    Yes
  • Paid from
    None
  • RAG support
    Yes
  • Facts checked
    28 Sep 2026

  • Where it wins

    • Graph orchestration, tool-using agents, and resumable workflows
    • Provider and vector-store adapters plus RAG and conversation memory
    • Evaluation, tracing, and resilience controls in modular packages

  • Where it doesn't

    • Self-hosted deployment only
    • Requires developers to build and operate the application
    • Support is through community resources and documentation

Our verdict on OrkaJS

OrkaJS is an open-source TypeScript framework for developers building and operating custom LLM applications, rather than a hosted end-user product. Its modules cover retrieval-augmented generation, tool-using agents, multi-step and graph workflows, memory, multimodal processing, evaluation, and observability. The framework runs in Node.js or Bun projects and can be installed as a complete package or through selected @orka-js modules. It is aimed at JavaScript teams that want to assemble their own application workflows and operational controls.

Workflow and agent capabilities are a central strength. OrkaJS supports structured agents, including ReAct and Plan & Execute, alongside tools and policies, graph-based orchestration, and durable or resumable agents. RAG features include semantic search and vector-store adapters. Provider integrations include OpenAI, Anthropic, Mistral, Ollama, Google Gemini, Cohere, and Replicate; vector-store options include Pinecone, Qdrant, ChromaDB, and an in-memory store. OCR and document extraction, streaming, MCP, fine-tuning modules, and multimodal support extend the available building blocks. The breadth suits teams with varied application needs, though choosing and connecting modules is part of a developer-led approach.

Operational features include evaluation metrics and test runners, observability hooks, tracing, and OpenTelemetry support. Retries, fallbacks, timeouts, and circuit breakers provide controls for handling failures. OrkaJS is published under the MIT license and is self-hosted, so teams need to manage their own deployment rather than rely on a vendor-hosted service. Support channels are community and documentation, and GDPR is listed among its compliance attributes. Choose OrkaJS if your team wants an extensible TypeScript framework and can own application operations; consider a hosted application platform instead if managed deployment is a priority.

OrkaJS pricing

Plans Free planFree Free to use — no paid tier required for the core job.
See plans on orkajs.com

OrkaJS fact sheet

Free planYes
Paid fromNone
Primary languageJavascript
RAG supportYes
Agent and tool useYes
Workflow graphsYes
Prompt optimizationNot verified
Open-source licenseMit
JavaScript/TypeScript SDKYes
DeploymentSelf-hosted
Compliance & securityGDPR
SupportCommunity, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations11 integrations: OpenAI, Anthropic, Mistral, Ollama, Pinecone, Qdrant …
PricingFree plan
Websiteorkajs.com
Facts checked28 Sep 2026

OrkaJS integrations

OrkaJS lists 11 integrations on its own site.

  • OpenAI
  • Anthropic
  • Mistral
  • Ollama
  • Pinecone
  • Qdrant
  • ChromaDB
  • In-memory vector store
  • Google Gemini
  • Cohere
  • Replicate

Alternatives to OrkaJS

See all OrkaJS alternatives →

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Featured on iTechGuides

Featured on iTechGuides — OrkaJS 7.2/10

OrkaJS is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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