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.
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.
Install on your computer · Instructions checked 2026-11-01
Use the official README to confirm supported desktop systems and the project’s current installation method.
Install HashCortX from its official release or follow the documented source setup.
Run an Ollama-compatible model locally and configure the application using the README’s local-model instructions.
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.
Connect an AI assistant to the tools and conversations where you already work.
The MIT-licensed assistant software is free to run on your own machine. Cloud models, connected services and hosted machines can require payment; subscriptions or API keys are supplied separately.
Use a desktop AI agent with persistent context and integrations across communication platforms.
The MIT-licensed agent can run locally without a software license fee. Model APIs, optional Nous Portal subscriptions, search or other services, and cloud machines may charge separately. A free agent is not free access to every model.
OpenCode can be used without a Go subscription. Optional Go is USD 10/month and Go Plus USD 40/month, with model-specific usage limits. Local models use your hardware; connected provider APIs and subscriptions bill separately. Promotional free models are limited-time offers.
Minimal terminal coding agent you can fully customize.
Official README supplies the installable Pi harness under MIT and instructs users to connect their own provider subscription or API key. The free harness does not include model usage or provider subscription fees.
Autonomous coding agents that complete real engineering tasks.
Official pricing lists MIT Agent Canvas free to self-host using own LLM key, Teams $499/month for up to 10 users with extra seats $50/month, and custom Enterprise. Provider tokens and managed cloud are separate.
Use an AI coding agent in an editor or terminal, with an optional local model.
The Apache-2.0 Cline VS Code extension and CLI have no software license charge. Use local Ollama models without a paid API key or per-request model charge, on your own hardware. Cline usage-billing, ClinePass subscriptions and external cloud model providers are optional paid routes with their own terms. The current repository says its JetBrains plugin is not open sourced. This review establishes the local client route, not unlimited hosted inference.
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