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everyharness

PyPIInfrastructure

PulseGate's liveness check found it on 8 Oct 2026; it is registered on GitHub and PyPI and has been in the index since 8 Aug 2026. How this is checked

everyharness is an offline-first command-line and terminal user interface for running locally available machine-learning models through pluggable harnesses. It is intended for developers and ML practitioners who need a flexible local model runner.

Inferred · not functionally tested

Open SourceApache-2.0CLILinuxmacOSWindowsSelf-hosted
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Overview

6 features

Purpose: Running dropped-in machine-learning models locally without relying on hosted services or a fixed runtime.

Inferred · not functionally tested

Audience: developers and ML practitioners

Inferred · not functionally tested

Functions: Unknown

Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, linux, macos, windows, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: pypi.org · github.com. These links do not verify the individual claims.

everyharness sits in PulseGate's CLI tools & terminal category. Inferred · not functionally tested: It focuses on running dropped-in machine-learning models locally without relying on hosted services or a fixed runtime. Inferred · not functionally tested: It is built as an open-source project for developers and ML practitioners. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It runs on the command line, Linux, macOS, and Windows, and it can be self-hosted.

kavin0x builds and maintains everyharness, and it first shipped in 2026. The project is developed in the open on GitHub with 5 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are offline execution, CLI interface, and TUI interface.

Summary written by a language model from the project’s public pages.

Tasks: Inferred · not functionally tested

  • Offline execution
  • CLI interface
  • TUI interface
  • Pluggable harnesses
  • Model loading
  • Plugin support

Topics: Inferred · not functionally tested

Tags
local-model-runneroffline-inferencemodel-harnessesterminal-ui
AI capabilities
TextMultimodal
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Framework
FastAPI
AI providers
local_oss
Connectors
github
Runs on
CLILinuxmacOSWindowsSelf-hosted

Trust & compliance

License
Apache-2.0
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed8 Aug · 04:29 UTC
    everyharness seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about everyharness

What is everyharness?
Inferred · not functionally tested: Everyharness focuses on running dropped-in machine-learning models locally without relying on hosted services or a fixed runtime. It is catalogued under CLI tools & terminal on PulseGate.
Who should use everyharness?
Inferred · not functionally tested: everyharness is an open-source project built for developers and ML practitioners.
Is everyharness free?
Basis unknown · not verified: Yes — everyharness is open source under the Apache-2.0 license and free to use.
What platforms does everyharness run on?
Basis unknown · not verified: everyharness runs on the command line, Linux, macOS, and Windows. It can also be self-hosted.
Is everyharness still active?
PulseGate's liveness check found it on 8 Oct 2026. Its GitHub repository shows 5 commits in the last 90 days.
What projects are similar to everyharness?
Similar projects tracked by PulseGate include oneharness-cli, harness-baby, and Harness CLI.oneharness-cliharness-babyHarness CLI
Who makes everyharness?
everyharness is developed by kavin0x.
When did everyharness launch?
everyharness first shipped in 2026.

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