HashCortX logo

AI Coding Assistants

HashCortXAI tool

The documented Ollama connection supports local inference without a paid AI API route.

Free local application · model/hardware costs separate

The MIT application is free. An Ollama-compatible model can run on your own machine; model weights have their own license and hardware/storage requirements. Optional remote providers may charge. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed.

Pricing checked .

Check official pricing
169Repository stars
15Forks
MITLicense
4d agoLast commit
HashCortX product interface
HashCortX · Project screenshot; model output and performance are not measured by AltStack.
Product image: Seif Hashish · MIT · Original image; layout scaled to fit. Project screenshot; model output and performance are not measured by AltStack. Full notice.Logo: Seif Hashish · MIT · Original image; layout scaled to fit. Provider asset identifies hashcortx; no endorsement is implied. Full notice.

About HashCortX

A desktop AI assistant and coding agent with an Ollama-backed local option, alongside optional external providers. Visit the project website to check the currently available deployment options.

Release status

Official README and root license checked against this revision on 2026-11-01. Local model and provider costs are recorded separately; AltStack did not execute the project or its installers.

Availability checked 1 Nov 2026. Check the provider’s release or installation information

Installation and setup

Install on your computer · Instructions checked 2026-11-01

  1. Use the official README to confirm supported desktop systems and the project’s current installation method.
  2. Install HashCortX from its official release or follow the documented source setup.
  3. Run an Ollama-compatible model locally and configure the application using the README’s local-model instructions.
  4. Check the chosen model’s license and memory needs, then test with non-sensitive prompts.

The application and local runtime can be used without a paid API subscription; model weights, hardware, storage, and electricity remain separate.

Self-hosting & quickstart specs

License
MIT
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The MIT application is free. An Ollama-compatible model can run on your own machine; model weights have their own license and hardware/storage requirements. Optional remote providers may charge. No weights are bundled. The official Ollama qwen2.5-coder:7b listing states Apache-2.0 and 4.7GB; verify compatibility and model licensing separately. Local hardware, storage, download, and electricity still have costs. Optional remote inference can be billed. Pricing evidence.
Devices / hardware
The application and local runtime can be used without a paid API subscription; model weights, hardware, storage, and electricity remain separate.

No one-line command has been verified for HashCortX; follow its official installation instructions instead of guessing a Docker image or installer.

HashCortX provider setup documentation

Explore the project

Technology stack

Technologies recorded in the catalog snapshot.

Tags

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