Who is modelmri-record for?

modelmri-record is an open-source project built for AI agent developers.

Does modelmri-record have a free plan?

Yes — modelmri-record is open source under the MIT license and free to use.

What platforms does modelmri-record run on?

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

Is modelmri-record still maintained?

The GitHub repository shows 42 commits in the last 90 days.

Who develops modelmri-record?

modelmri-record is developed by Muhammad Mahad Azher.

When did modelmri-record launch?

modelmri-record first shipped in 2026.

Is modelmri-record open source?

Yes — modelmri-record is open source under the MIT license.

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modelmri-record

Name: modelmri-record
Author: Muhammad Mahad Azher

PyPIInfrastructure

modelmri-record is a Python package for recording agent runs, including LLM calls, tool calls, and subagents. It provides tracing and a ModelMRI timeline for developers debugging and observing agent workflows.

Open SourceMITCLISelf-hosted

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Overview

6 features

In the LLM & agent tracing space, modelmri-record takes a focused approach. It focuses on debugging and inspecting multi-step agent runs, LLM calls, tool calls, and subagent activity. modelmri-record is an open-source project aimed at AI agent developers. The project is open source (MIT). modelmri-record is available on the command line, and it can be self-hosted.

Behind modelmri-record is Muhammad Mahad Azher, and it first shipped in 2026. Development happens publicly on GitHub with 42 commits in the last 90 days. Among its 6 catalogued features are agent run recording, LLM call tracing, and tool call tracing.

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

Agent run recording
LLM call tracing
Tool call tracing
Subagent tracing
Timeline viewer
Debugging observability

Built with & integrations

Framework

FastAPI

AI providers

local_oss

Connectors

github

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierActive maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed8 Aug · 05:50 UTC
modelmri-record verified via PyPI Fresh Feed
Source: PyPI Fresh Feed · Open

Frequently asked questions about modelmri-record

What does modelmri-record do?: Modelmri-record focuses on debugging and inspecting multi-step agent runs, LLM calls, tool calls, and subagent activity. It is catalogued under LLM & agent tracing on PulseGate.
Who is modelmri-record for?: modelmri-record is an open-source project built for AI agent developers.
Does modelmri-record have a free plan?: Yes — modelmri-record is open source under the MIT license and free to use.
What platforms does modelmri-record run on?: modelmri-record runs on the command line. It can also be self-hosted.
Is modelmri-record still maintained?: The GitHub repository shows 42 commits in the last 90 days.
Who develops modelmri-record?: modelmri-record is developed by Muhammad Mahad Azher.
When did modelmri-record launch?: modelmri-record first shipped in 2026.
Is modelmri-record open source?: Yes — modelmri-record is open source under the MIT license.

At a glance

Platforms: CLI
Languages: English
License: MIT
First seen: 8 Aug 2026
Built for: AI agent developers
Model: Open source
Solves: Debugging and inspecting multi-step agent runs, LLM calls, tool calls, and subagent activity.

Registered as

PyPI: modelmri-record

Developer

Muhammad Mahad Azher

Solo developer

Open source

Stars: 0
Forks: 0
Open issues: 0
Last commit: 8 Aug 2026
Commits 90d: 42
Contributors: 1
Authorship: Solo
Default branch: main
Latest release: v0.4.0 · 7 Aug 2026

Index record

Indexed: 8 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 8 Aug 2026

Identity audit (13)

Slug: modelmri-record-pypi-org
Lifecycle last checked: 8 Sept 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 8 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: Recorded source: taxonomy-pass-a.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 8 Aug 2026
Canonical URL: https://pypi.org/project/modelmri-record

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