Who should use agentdag?

agentdag is an open-source project built for AI developers building controlled agent workflows.

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

What platforms does agentdag run on?

agentdag runs on the command line. It can also be self-hosted.

Is agentdag still maintained?

The GitHub repository shows 4 commits in the last 90 days.

Who develops agentdag?

agentdag is developed by bitranox.

When did agentdag launch?

agentdag first shipped in 2026.

Is agentdag open source?

Yes — agentdag is open source under the MIT license, developed on GitHub.

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agentdag

Name: agentdag
Author: bitranox

PyPIInfrastructure

agentdag is an MIT-licensed Python package for coordinating small graphs of AI-agent nodes. It provides bounded spending, mechanical execution gates, and journaled state for developers building controlled agent workflows.

Open SourceMITCLISelf-hosted

Visit PyPI

Overview

5 features

In the Frameworks & runtimes space, agentdag takes a focused approach. It focuses on coordinating multi-node AI-agent workflows with bounded costs, execution controls, and persistent state. It is built as an open-source project for AI developers building controlled agent workflows. agentdag is open source under the MIT license. It ships for the command line, and it can be self-hosted.

bitranox builds and maintains agentdag, and it first shipped in 2026. Development happens publicly on GitHub with 4 commits in the last 90 days. Among its 5 catalogued features are agent graph coordination, spend limits, and mechanical gates.

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

Agent graph coordination
Spend limits
Mechanical gates
Journaled state
DAG execution

Built with & integrations

AI providers

multiple

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Aug · 13:18 UTC
agentdag verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentdag

What is agentdag?: Agentdag focuses on coordinating multi-node AI-agent workflows with bounded costs, execution controls, and persistent state. It is catalogued under Frameworks & runtimes on PulseGate.
Who should use agentdag?: agentdag is an open-source project built for AI developers building controlled agent workflows.
Is agentdag free?: Yes — agentdag is open source under the MIT license and free to use.
What platforms does agentdag run on?: agentdag runs on the command line. It can also be self-hosted.
Is agentdag still maintained?: The GitHub repository shows 4 commits in the last 90 days.
Who develops agentdag?: agentdag is developed by bitranox.
When did agentdag launch?: agentdag first shipped in 2026.
Is agentdag open source?: Yes — agentdag is open source under the MIT license, developed on GitHub.

At a glance

Platforms: Cli
Languages: English
Open source: Yes (GitHub)
License: MIT
First seen: 17 Aug 2026
Built for: AI developers building controlled agent workflows
Model: Open source
Solves: Coordinating multi-node AI-agent workflows with bounded costs, execution controls, and persistent state.

Registered as

GitHub: bitranox/agentdag
PyPI: agentdag

Developer

bitranox

Solo developer

GitHub

Open source

View on GitHub

Stars: 0
Forks: 0
Open issues: 0
Last commit: 17 Aug 2026
Commits 90d: 4
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.0.1 · 17 Aug 2026

Index record

Identity confidence: Low · 64
Indexed: 17 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 17 Aug 2026

Identity audit (13)

Slug: agentdag-pypi-org
Lifecycle state recorded: 17 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Aug 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.
Last updated: 17 Aug 2026
Canonical URL: https://pypi.org/project/agentdag

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