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OpenZero 7.3 — independent, self-hosted AI nodes

Static project home · Download 7.3 · Preserved ZMath app

The project home is free static hosting. It is not an inference server or a required node; your runtime operates independently after setup.

OpenZero combines local model chat, a browser workspace, an OpenAI-compatible API, durable automation runs, local knowledge and learning, source-improvement candidates, and optional adapter training. Your node runs on your own Linux machine or server. There is no required TalkToAI server, central registration, main node, or company-hosted database.

Source · Releases · Install guide · Workbench · Node independence

What changes in 7.3

  • Fresh installations use a local endpoint, an empty remote Hive endpoint, local mode, and sharing disabled.
  • Upgrades remove exact retired owner-service defaults, preserving explicit user-owned endpoints and existing private state.
  • Installers, checksums and runtime ZIPs come from versioned GitHub release assets. Mirrors can be operator-selected; GitHub is a distribution host, not an inference or federation coordinator.
  • Tab Pilot 0.3.1 is distributed as a verified GitHub ZIP. Linux and Windows helpers prepare it for explicit Load unpacked approval, without forcing a browser policy or depending on an owner-hosted extension update service.
  • The 7.2 improvement workspace remains: editable candidates, diffs, recorded checks, digest-bound apply and rollback; small adapter fixtures and optional local PEFT training do not automatically replace inference weights.

Run your own AI machine

Capability Local implementation
Chat and models Ollama routing, Ministral 8B runtime-template default, Gemma fallback, CPU profiles
Coding and tools Files, bounded commands, archives, web reading, configured search, SSH tools
Durable runs Checkpoints, budgets, stop/revoke, restart recovery, exact-action confirmations
API Local OpenAI-compatible /v1/chat/completions with hashed machine keys
Browser control Optional per-tab Tab Pilot grants and visible approval/stop controls
Knowledge Local learning and operator-selected sharing; no mandatory remote catalogue
Source improvement Separate source candidates, checks, reviewed apply and rollback
Training Synthetic CPU fixture and optional LoRA/PEFT jobs with held-out evaluation
Voice Optional local Piper/Voicebox; optional transcription dependencies
Offline operation Bundle code, dependencies and models before disconnecting

Models and software dependencies require downloads during online installation. Optional web search, cloud APIs, remote models and operator-selected federation need their respective external services. Local inference is not distributed training, peer-to-peer GPU pooling or a guarantee of AGI.

Install with checksum verification

On a Linux machine you administer, review the script before running:

mkdir -p openzero-bootstrap && cd openzero-bootstrap
curl -fL https://github.com/ResearchForumOnline/OpenZero/releases/download/v7.3.0/install.sh -o install.sh
curl -fL https://github.com/ResearchForumOnline/OpenZero/releases/download/v7.3.0/install.sh.sha256 -o install.sh.sha256
sha256sum -c install.sh.sha256
less install.sh
bash install.sh --desktop

For a headless node use --server --no-tab-pilot; --skip-model avoids the large default-model download. The runtime archive is separately verified before unpacking. A checksum detects corrupt/mismatched assets; it is not a detached publisher signature. The default runtime and extension assets are pinned to v7.3.0 so newer release assets cannot silently change this installer.

Open the panel at http://localhost:1024. Keep it on loopback, or access your own remote node through an SSH tunnel/VPN. Never put private tokens into GitHub.

For a pre-7.3 installation, use the verified installer above with --dir set to its existing path. This replaces the updater that previously depended on the retired owner host. Once updated, use the local updater:

cd ~/openzero
bash update.sh --server --no-tab-pilot

The updater retrieves the latest installer and its checksum from GitHub. OPENZERO_INSTALLER_BASE_URL selects your own installer mirror; OPENZERO_RELEASE_BASE_URL selects your own runtime/extension asset mirror. The mirror must provide the same filenames and matching checksum files. For source development, clone this repository, create a Python virtual environment, install openzero/requirements.txt, and run openzero/run_brain.sh.

Browser extension

Tab Pilot source and setup · Verified ZIP · ZIP checksum · Windows helper · Linux helper

The extension plans through your own loopback node; a remote node needs your own SSH tunnel. Generate a scoped token in the local panel and enter it in extension Options. Browser approval remains required. Existing managed installs are not automatically uninstalled; their old policy should be removed by their administrator before moving to the unpacked package.

Models and research

The default is OpenZero Ministral3 8B Runtime Agent through Ollama as hf.co/shafire/OpenZero-Ministral3-8B-Runtime-Agent-GGUF:Q5_K_M. It uses unchanged upstream weights with an OpenZero runtime template. Gemma — Compatibility fallback, model guide, research archive, and Agentic GGUF collection remain separate public resources.

Documentation and preservation

ZeroThink and Matrix bridge code is optional integration code for an operator-owned deployment, not a requirement to use a retired public website. Old release notes describe historical services; current installation guidance is this README and the 7.3 guides.

License and privacy

Source is available under the OpenZero Community Source License. Inspection, personal use, internal business use and contributions are permitted under its terms; commercial resale or managed hosting needs written permission. This is not an unrestricted open-source licence.

Release archives exclude .env, credentials, generated keys, databases, private uploads, model stores, runtime knowledge and backups. Do not expose the operator panel publicly without strong authentication and network controls. See SECURITY.md.

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OpenZero local-first AI node, OpenZero Gemma runtime, consent-first Brave Tab Pilot, operator panel, and automation tools.

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