What does agentburn do?

Lack of visibility into token and cost usage for always-on AI agents running locally. It is catalogued under LLM eval & observability on PulseGate.

Who is agentburn for?

agentburn is an open-source project built for AI developers and agent framework users.

Yes — agentburn is open source under the MIT license and free to use.

What platforms does agentburn run on?

agentburn runs on the command line.

Is agentburn still active?

Unverified. agentburn has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.

What projects are similar to agentburn?

Similar projects tracked by PulseGate include agentcost-cli, BurnRate, and agent-cost-attribution.

Who develops agentburn?

agentburn is developed by shcherbak-ai.

When did agentburn launch?

agentburn first shipped in 2026.

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agentburn

Name: agentburn
Author: shcherbak-ai

PyPIInfrastructure

agentburn is an open-source CLI tool that profiles token and cost usage for always-on AI agents, starting with Hermes Agent. It runs locally with zero dependencies, helping developers monitor and optimize resource consumption for their AI workflows.

Open SourceMITCLI

Visit PyPI

Overview

5 features

agentburn is a LLM eval & observability project. Lack of visibility into token and cost usage for always-on AI agents running locally. agentburn is an open-source project aimed at AI developers and agent framework users. agentburn is open source under the MIT license. It runs on the command line.

It is developed by shcherbak-ai, and it first shipped in 2026. Key capabilities include token usage profiling, cost analysis, and local execution.

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

Token usage profiling
Cost analysis
Local execution
Zero dependencies
Supports Hermes Agent

Built with & integrations

Runs on

CLI

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tier

Indexing history

What PulseGate has recorded for this listing

Indexed30 Jun · 06:35 UTC
agentburn verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentburn

What does agentburn do?: Lack of visibility into token and cost usage for always-on AI agents running locally. It is catalogued under LLM eval & observability on PulseGate.
Who is agentburn for?: agentburn is an open-source project built for AI developers and agent framework users.
Is agentburn free?: Yes — agentburn is open source under the MIT license and free to use.
What platforms does agentburn run on?: agentburn runs on the command line.
Is agentburn still active?: Unverified. agentburn has not been re-checked since it entered the index, so there is no finding either way — and only a positive finding would say otherwise.
What projects are similar to agentburn?: Similar projects tracked by PulseGate include agentcost-cli, BurnRate, and agent-cost-attribution.agentcost-cli BurnRate agent-cost-attribution
Who develops agentburn?: agentburn is developed by shcherbak-ai.
When did agentburn launch?: agentburn first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
License: MIT
First seen: 30 Jun 2026
Built for: AI developers and agent framework users
Model: Open source
Solves: Lack of visibility into token and cost usage for always-on AI agents running locally.

Registered as

PyPI: agentburn

Developer

shcherbak-ai

Index record

Identity confidence: Low · 64
Indexed: 30 Jun 2026
Lifecycle: Alive
First seen: Jun 2026
Last seen: 30 Jun 2026

Identity audit (12)

Slug: agentburn-pypi-org
Lifecycle last checked: 8 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 30 Jun 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Canonical URL: https://pypi.org/project/agentburn

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