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LoopGPT

LoopGPT AI Agent
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Category:AI Agent Development Frameworks

Overview

Legacy modular Python agent framework with custom tools, human feedback and saved state; code retained on the LoopGPT branch.

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LoopGPT is a legacy modular Python Auto-GPT framework with custom tools, human feedback and saved agent state. It supports extensible task loops and command approval.

The original repository now resolves to vitalops/openvibe, whose main branch describes a different Python coding-agent implementation. Use the loopgpt branch for the original LoopGPT framework. External model calls and hosting have separate costs.

Product overview

Capabilities, pricing and fit

LoopGPT is a legacy modular Python Auto-GPT framework with custom tools, human feedback and saved agent state. It supports extensible task loops and command approval.

Information as of September 29, 2026

What it can do

  • Custom tools

    Python tools can be added to the agent toolbox.[1]

  • Human feedback

    The legacy framework documents human-in-the-loop command approval.[1]

  • Saved state

    Agent memory and tool state can be serialized and resumed.[1]

Where it fits best

  • Study extensible Python agent tools.[1]
  • Experiment with human-guided task loops.[1]
  • Inspect saved agent state and legacy framework design.[1]

Pricing and availability

The legacy framework source is available; external model calls and hosting incur their own costs.[1]

Platforms: Python, Self-hosted[1]

Sources (2)
  1. Legacy LoopGPT branchGitHub · checked 2026-09-29
  2. Current repository identityGitHub · checked 2026-09-29

Autonomy level

84/100

Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.

Reasoning: LoopGPT’s legacy agent loop can use configured Python tools, retain state and continue through multi-step work. Developers define goals and tools, configure model access and choose human approval or continuous operation.

Comparisons

Custom Comparisons

Some of the use cases of LoopGPT:

  • Study extensible Python agent tools.
  • Experiment with human-guided task loops.
  • Inspect saved agent state and legacy framework design.

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Pricing model:

free

Code access:

open-source

Popularity level: 65%

Industries:

Software DevelopmentBusiness AutomationResearch

Tags:

open-sourceautonomous agenttask automationiterative processesdevelopers
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