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local-ai-track

PyPIInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 15 Jul 2026. How this is checked

local-ai-track is an open-source CLI tool that allows developers to monitor and track AI token usage and associated costs for coding assistants directly on their local machine. It is designed for developers who want privacy and transparency in their AI tool usage.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

5 features

Purpose: Tracking and monitoring AI token usage and costs for coding assistants locally without cloud dependency.

Inferred · not functionally tested

Audience: developers using AI coding assistants

Inferred · not functionally tested

Functions: analytics, monitoring

Inferred · not functionally tested

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

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli

Constraint provenance is unknown; confirm requirements with the publisher.

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

local-ai-track sits in PulseGate's CLI tools & terminal category. Inferred · not functionally tested: It focuses on tracking and monitoring AI token usage and costs for coding assistants locally without cloud dependency. Inferred · not functionally tested: local-ai-track is an open-source project aimed at developers using AI coding assistants. Basis unknown · not verified: local-ai-track is open source under the MIT license. Basis unknown · not verified: It runs on the command line.

It is developed by ayushks1ngh, and it first shipped in 2026. Development happens publicly on GitHub with 2 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are token usage tracking, local operation, and cost estimation.

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

Tasks: Inferred · not functionally tested

  • Token usage tracking
  • Local operation
  • Cost estimation
  • CLI interface
  • Coding assistant integration

Topics: Inferred · not functionally tested

Tags
token-trackingai-usage-monitoringlocal-cli
AI capabilities
Code
Inference: Local

JSON profile · Text profile · Access guide

Built with & integrations

Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed15 Jul · 09:11 UTC
    local-ai-track seen via PyPI Bulk Enumerator
    Source: PyPI Bulk Enumerator · Open

Frequently asked questions about local-ai-track

What does local-ai-track do?
Inferred · not functionally tested: Local-ai-track focuses on tracking and monitoring AI token usage and costs for coding assistants locally without cloud dependency. It is catalogued under CLI tools & terminal on PulseGate.
Who is local-ai-track for?
Inferred · not functionally tested: local-ai-track is an open-source project built for developers using AI coding assistants.
Does local-ai-track have a free plan?
Basis unknown · not verified: Yes — local-ai-track is open source under the MIT license and free to use.
What platforms does local-ai-track run on?
Basis unknown · not verified: local-ai-track runs on the command line.
Is local-ai-track still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 2 commits in the last 90 days.
What are alternatives to local-ai-track?
Similar projects tracked by PulseGate include Local Keep AI, cctrack-ai, and Local.Local Keep AIcctrack-aiLocal
Who develops local-ai-track?
local-ai-track is developed by ayushks1ngh.
When did local-ai-track launch?
local-ai-track first shipped in 2026.

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