Use the documented local Ollama endpoint for chat and retrieval without buying an API plan.
Free local application · model/hardware costs separate
The Apache-2.0 app can be run without a software subscription. A local model download and suitable device are required; any external APIs are optional and have their own charges and terms. 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.
LocalLLMMind · Project screenshot of local chat and documents; no AltStack installation or benchmark is shown.Product image: LocalLLMMind contributors · Apache-2.0 · Original image; layout scaled to fit. Project screenshot of local chat and documents; no AltStack installation or benchmark is shown. Full notice.Logo: LocalLLMMind contributors · Apache-2.0 · Original image; layout scaled to fit. Provider asset identifies locallmmind; no endorsement is implied. Full notice.
About LocalLLMMind
A local-first assistant for chat and document retrieval, with a PWA-style interface and an Ollama-backed model path. 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
Read the official README for prerequisites, release packages, and its current local-model workflow.
Install LocalLLMMind using the provider’s documented release or build instructions.
Start Ollama on the same machine and download a compatible model after reviewing its license and size.
Verify one local conversation before enabling external APIs or importing private documents.
The local application path needs no per-request API. Model weights and capable hardware are separate; optional remote model connections may cost money.
Self-hosting & quickstart specs
License
Apache-2.0
Deployment
Local desktop application
Free edition / costs
Free local application · model/hardware costs separate. The Apache-2.0 app can be run without a software subscription. A local model download and suitable device are required; any external APIs are optional and have their own charges and terms. 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 local application path needs no per-request API. Model weights and capable hardware are separate; optional remote model connections may cost money.
No one-line command has been verified for LocalLLMMind; 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.
Chat with AI models in your own browser-based workspace.
Use the self-hosted UI with its required branding under the current license. There is no included paid-model allowance: cloud APIs, servers and storage can cost extra. Removing branding or qualifying enterprise uses may require a separate license; do not assume the current release is unrestricted BSD.
Free credit tier; paid plans and commercial licensing
Manage, build, and run AI agent teams around the clock.
LobeHub pricing includes 500k monthly credits free and paid Starter from displayed $9.90/month. LobeChat/LobeHub source uses a modified Community License: commercial derivative development/distribution requires a commercial license; it is not plain Apache-2.0.
The local desktop app and self-hosted software have a free MIT-licensed option. Cloud hosting and selected external model APIs can charge separately. Local model use still requires your device resources; free software does not include every model provider.
Multi-model AI desktop client with local-first privacy.
Cherry Studio's AGPL source client has local setup instructions. This scope covers the self-built client; external model APIs, cloud services and separate commercial licensing or enterprise components are not included or price-verified.
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