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iterate-ai

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 18 Jul 2026. How this is checked

iterate-ai is an open-source autonomous ML iteration agent that automates the cycle of briefing, coding, running, and evaluating machine learning experiments. It supports multiple LLM backends, persistent memory, and generates runnable notebooks, streamlining research workflows for ML engineers and researchers.

Inferred · not functionally tested

Open SourceMITCLI
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Overview

5 features

Purpose: Automating the process of running, evaluating, and shipping ML experiments using autonomous agents.

Inferred · not functionally tested

Audience: Machine learning engineers and researchers

Inferred · not functionally tested

Functions: agents, code_generation, analytics

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.

iterate-ai sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on automating the process of running, evaluating, and shipping ML experiments using autonomous agents. Inferred · not functionally tested: It is built as an open-source project for machine learning engineers and researchers. Basis unknown · not verified: iterate-ai is open source under the MIT license. Basis unknown · not verified: It runs on the command line.

It is developed by anthonyrodrigues443, and it first shipped in 2026. The project is developed in the open on GitHub with 55 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include Autonomous ML iteration, notebook generation, and multi-LLM backend.

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

Tasks: Inferred · not functionally tested

  • Autonomous ML iteration
  • Notebook generation
  • Multi-LLM backend
  • Persistent memory
  • Bounded autonomy

Topics: Inferred · not functionally tested

Tags
automlnotebook-generationllm-evaluationautonomous-agent
AI capabilities
CodeText
Inference: Hybrid

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenailocal_ossmultiple
Runs on
CLI

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHubActive maintenance

Indexing history

2

What PulseGate has recorded for this listing

  1. Indexed21 Sep · 20:02 UTC
    iterate-ai seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open
  2. Indexed18 Jul · 16:13 UTC
    iterate-ai seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about iterate-ai

What is iterate-ai?
Inferred · not functionally tested: Iterate-ai focuses on automating the process of running, evaluating, and shipping ML experiments using autonomous agents. It is catalogued under Frameworks & runtimes on PulseGate.
Who is iterate-ai for?
Inferred · not functionally tested: iterate-ai is an open-source project built for machine learning engineers and researchers.
Does iterate-ai have a free plan?
Basis unknown · not verified: Yes — iterate-ai is open source under the MIT license and free to use.
What platforms does iterate-ai run on?
Basis unknown · not verified: iterate-ai runs on the command line.
Is iterate-ai still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 55 commits in the last 90 days.
Who makes iterate-ai?
iterate-ai is developed by anthonyrodrigues443.
When did iterate-ai launch?
iterate-ai first shipped in 2026.
Is iterate-ai open source?
Basis unknown · not verified: Yes — iterate-ai is open source under the MIT license, developed on GitHub.

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