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TokenTelemetry

tokentelemetry.com·LLM eval & observability

TokenTelemetry provides a local-first observability dashboard designed specifically for AI coding agents. It consolidates data from the log files generated by these agents, offering a unified interface to surface information such as token usage, large language model (LLM) costs, tool calls, session traces, and reasoning steps. The platform is intended for users who want to monitor and analyze the activities and resource consumption of AI coding agents without relying on external cloud services.

The dashboard works entirely on the user's machine, ensuring that logs, prompts, and cost information remain private and never leave the local environment. TokenTelemetry reads existing log files without modifying them, and all agent data is stored in a dedicated directory on the user's system. There are two optional outbound features—an hourly update check and another unspecified feature—both of which are content-free and can be disabled. The tool supports a range of AI coding agents, including Claude Code, Codex, Gemini CLI, Cursor, Copilot, Qwen, OpenCode, Vibe, Antigravity, Grok Build, Cline, SmallCode, Pi, and Hermes Agent.

TokenTelemetry is free to use and open-source, requiring no signup or cloud account. It is launched with a single command, emphasizing ease of installation and use. This approach is aimed at developers and others working with AI coding agents who require insight into agent behavior and resource consumption while maintaining full control over their data and privacy.

Open SourceMIT
WebmacOSWindowsLinuxCLI
T
TokenTelemetry preview
Visit tokentelemetry.com↗
⭐232
stars
🍴30
forks
✓12
features
📅2026
since

Overview

12 features

TokenTelemetry sits in PulseGate's LLM eval & observability category. It focuses on monitoring and analyzing AI coding agent activity and costs locally without sending data to the cloud. It is built as an open-source project for developers using AI coding agents. TokenTelemetry is open source under the MIT license. It runs on the web, macOS, Windows, Linux, and the command line.

Behind TokenTelemetry is VasiHemanth, and the product first shipped in 2026. Development happens publicly on GitHub with 232 stars and 286 commits in the last 90 days. Key capabilities include token usage tracking, cost analytics, and session traces.

  • ✓Token usage tracking
  • ✓Cost analytics
  • ✓Session traces
  • ✓Agent support
  • ✓Local storage
  • ✓No signup
  • ✓Privacy-first
  • ✓CLI integration
  • ✓Project budgets
  • ✓Alerts
  • ✓Summarization
  • ✓Custom data directory

Tags

agent-observabilitytoken-usage-trackinglocal-dashboardllm-cost-trackingprivacy-first

AI capabilities

CodeStructuredInference: Local

Built with & integrations

Framework
nextjs
AI providers
anthropiclocal_oss
Runs on
BrowsermacOSWindowsLinuxCLI

Trust & compliance

LicenseMIT
Verified signals
✓ HTTPS✓ Privacy Policy✓ Open Source✓ Free tier✓ GitHub · ★ 232✓ Active maintenance
Legal
Privacy Policy →

Recent events

Latest indexed changes and source events

  1. IndexedJul 16, 4:51 AM

    VasiHemanth/tokentelemetry verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about TokenTelemetry

What does TokenTelemetry do?
TokenTelemetry focuses on monitoring and analyzing AI coding agent activity and costs locally without sending data to the cloud. It is catalogued under LLM eval & observability on PulseGate.
Who is TokenTelemetry for?
TokenTelemetry is an open-source project built for developers using AI coding agents.
Is TokenTelemetry free?
Yes — TokenTelemetry is open source under the MIT license and free to use.
What platforms does TokenTelemetry run on?
TokenTelemetry runs on the web, macOS, Windows, Linux, and the command line.
Is TokenTelemetry still maintained?
PulseGate's liveness checks currently classify TokenTelemetry as active. The GitHub repository shows 286 commits in the last 90 days.
What are alternatives to TokenTelemetry?
Similar tools tracked by PulseGate include Token Tracker, agenttelemetry, and token-tracker.Token Trackeragenttelemetrytoken-tracker
Who makes TokenTelemetry?
TokenTelemetry is developed by VasiHemanth.
When did TokenTelemetry launch?
TokenTelemetry first shipped in 2026.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 232
License
MIT
First seen
Jul 16, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
developers using AI coding agents
Model
Open source
Solves
Monitoring and analyzing AI coding agent activity and costs locally without sending data to the cloud.

Developer

VasiHemanth
Team
↗ GitHub

Open source

View on GitHub →
⭐ Stars
232
🍴 Forks
30
Open issues
21
Last commit
6d ago
Commits 90d
286
Contributors
8
Authorship
Team
Default branch
main

Live coverage

Confidence
Medium · 68
Indexed
Jul 16, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
6d ago
Identity audit (9)
Entity ID
cmrn17rda07vt10g3o1ha46ec
Slug
vasihemanth-tokentelemetry-tokentelemetry-com
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 16, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 16, 2026
Canonical URL
https://tokentelemetry.com/docs

Similar apps

Other apps tracked under the same category.

  • Token Tracker
    tokentracker.cc
  • agenttelemetry
    github.com
  • token-tracker
    pypi.org
  • tokentap
    tokentap.ai
  • toktrail
    github.com
  • TokenJam
    tokenjam.dev