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cubepi

cubepi.aiInfrastructure

PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 6 Jul 2026. How this is checked

CubePi is a Pythonic, async-native agent framework for building agents in Python. It is described as a leaner alternative to graph-based agent runtimes, using a linear while-loop model for agent logic that developers can trace and debug.

Inferred · not functionally tested

Open SourceMITWebCLISelf-hosted
cubepi preview
Visit cubepi.ai
16stars
4forks
5features
2026since

Overview

5 features

Purpose: Enabling developers to build scalable, asynchronous autonomous agent systems in Python.

Inferred · not functionally tested

Audience: Python developers building AI agents

Inferred · not functionally tested

Functions: agents, workflow_automation, monitoring

Inferred · not functionally tested

Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)

Recorded constraints: pricing: open_source · license: MIT · platforms: CLI, WEB · deployment: browser, cli, self_hosted

Constraint provenance is unknown; confirm requirements with the publisher.

Record sources: cubepi.ai · github.com. These links do not verify the individual claims.

cubepi sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: Enabling developers to build scalable, asynchronous autonomous agent systems in Python. Inferred · not functionally tested: It is built as an open-source project for python developers building AI agents. Basis unknown · not verified: cubepi is open source under the MIT license. Basis unknown · not verified: It runs on the web and the command line, and it can be self-hosted.

Behind cubepi is cubeplexai, and it first shipped in 2026. The project is developed in the open on GitHub with 16 stars and 730 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include async-native, agent framework, and python support. Inferred · not functionally tested: Catalogued interfaces include a public API and an MCP server.

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

Tasks: Inferred · not functionally tested

  • Async-native
  • Agent framework
  • Python support
  • Multi-agent workflows
  • Extensible architecture

Topics: Inferred · not functionally tested

Tags
agent-frameworkasync-pythonmulti-agentautonomous-agentspython-sdk
AI capabilities
TextCode
Weights: Open

JSON profile · Text profile · Access guide

Built with & integrations

AI providers
anthropicopenai
Connectors
APIMCP
Runs on
BrowserCLISelf-hosted

Trust & compliance

License
MIT
Public signals
HTTPSOpen SourceFree tierGitHub · ★ 16Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed25 Sep · 04:26 UTC
    cubepi seen via PyPI Fresh Feed
    Source: PyPI Fresh Feed · Open

Frequently asked questions about cubepi

What is cubepi?
Inferred · not functionally tested: Enabling developers to build scalable, asynchronous autonomous agent systems in Python. It is catalogued under Frameworks & runtimes on PulseGate.
Who is cubepi for?
Inferred · not functionally tested: cubepi is an open-source project built for python developers building AI agents.
Is cubepi free?
Basis unknown · not verified: Yes — cubepi is open source under the MIT license and free to use.
What platforms does cubepi run on?
Basis unknown · not verified: cubepi runs on the web and the command line. It can also be self-hosted.
Is cubepi still active?
PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 730 commits in the last 90 days.
Who develops cubepi?
cubepi is developed by cubeplexai.
How long has cubepi been around?
cubepi first shipped in 2026.
Is cubepi open source?
Basis unknown · not verified: Yes — cubepi is open source under the MIT license, developed on GitHub.

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