Kong/insomnia
insomnia
The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
Usage guide
insomnia is an open-source project around api, api-client, api-design with 38,547 GitHub stars. This guide focuses on when to use it, how to install it, how to run the first example, and what to verify before adopting it.
Key features
- Implemented mainly in TypeScript, useful for judging integration effort in a similar stack.
- GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
- The project has a homepage, so cross-check docs, examples, and release information beyond GitHub.
Best for
- Evaluating insomnia for TypeScript AI workflows.
- Comparing a GitHub project with 38,547 stars and current repository activity.
Pros
- insomnia has visible GitHub traction with 38,547 stars. Topics: api, api-client, api-design.
- The project provides an external homepage for deeper evaluation.
Cons
- Production fit still depends on documentation depth, issue activity, and release cadence.
- License review should confirm the Apache-2.0 terms fit your use case.
Production readiness
insomnia should be validated with its README, release history, open issues, and integration requirements before production use.
License risk
Apache-2.0 is reported by GitHub; review the repository license before redistribution or commercial use.
insomnia architecture preview
insomnia's main path starts at the entry surface, runs through Retrieval pipeline, combines LLM / model client, Runtime context, APIs / webhooks, and returns Grounded answers / search results.
Entry
CLI / terminal entry
insomnia is primarily entered through a developer command or terminal workflow.
npm i
Runtime
Retrieval pipeline
The pipeline retrieves relevant context before the model generates an answer.
RAG / retrieval
Model
LLM / model client
The project connects its core runtime to local models or hosted AI APIs when model inference is required.
model signal
Context
Runtime context
Runtime state, user input, repository files, or configuration provide context for each task.
context signal
Tools
APIs / webhooks
Tool adapters let the runtime act outside the model through APIs / webhooks.
APIs / webhooks
Output
Grounded answers / search results
The final result is an answer or ranked result grounded in retrieved context.
answer output
Featured video
Mellow Melodies
Sleep Instantly Within 3 Minutes - Insomnia Healing, Stress Relief, Anxiety and Depressive States
6,806,121 views ยท 2023-09-19
Install tutorial
Before you install
- Node.js and the package manager used by the project
- A clean working directory for the first test run
Check the runtime environment
insomnia uses a Node.js-style toolchain. Confirm the Node version and package manager before installing.
Get the project files
Start from the official repository or package so the first run matches the documented behavior.
$ git clone https://github.com/Kong/insomnia.gitInstall or build dependencies
Run the next setup command detected from the project documentation.
$ npm iAdoption guidance and sources
Practical use cases
Knowledge-base assistant
Use it for document-grounded AI workflows where retrieval quality matters.
The open-source, cross-platform API client for GraphQL, REST, WebSocke
This is one of the documented reasons to evaluate insomnia before choosing a stack.
Focus area: api
This is one of the documented reasons to evaluate insomnia before choosing a stack.
RAG project comparison
Compare insomnia with similar projects before committing to a stack.
Before adopting
- Complete one clean-environment verification using the official insomnia setup path.
- Review repository license, model weights, external services, and dependency terms for your use case.
- Check recent commits, release cadence, issue response, and documentation depth.
- Evaluate output quality, latency, resource usage, and recovery behavior with a small dataset.
Configuration notes
- Review README configuration notes before using production data.
Sources checked
These links are used to verify repository, documentation, or tutorial details. Review the source pages before adopting the project.
Troubleshooting
- If installation fails, first confirm the command is being run from the README-specified directory.
- If dependencies conflict, retry in a fresh virtual environment, container, or working directory.
- If output looks wrong, return to the smallest documented insomnia example before adding complex data.
- For keys, model files, or external services, verify environment variables, local paths, and permissions one by one.
- Before production use, review recent updates, open issues, license terms, and safety boundaries.
What is insomnia?
insomnia is an open-source rag project. The open-source, cross-platform API client for GraphQL, REST, WebSockets, SSE and gRPC. With Cloud, Local and Git storage.
How do I install insomnia?
Start with the official README. The first detected setup step is: git clone https://github.com/Kong/insomnia.git.
Is insomnia beginner-friendly?
If you already know the TypeScript ecosystem, start with the smallest example. Otherwise test it in an isolated environment first.
Can insomnia be used commercially?
GitHub detected the Apache-2.0 repository license, which generally permits commercial use. This signal only covers the repository license; review its obligations and any model weights, datasets, dependencies, or external services before commercial adoption.
Does insomnia need a GPU?
GPU requirements depend on the workload, model, and dataset size. Start with the smallest README example before scaling up.
How should I decide whether to adopt insomnia?
Evaluate setup cost, maintenance activity, issue health, license terms, and fit with your real workflow.