PulseGatePost-LLM software, agents & workflows market (since 2022)
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  2. agent-runtimes/
  3. Alternatives

agent-runtimes Alternatives

agent-runtimes is an open-source Python package that provides runtime infrastructure for building and executing agent-based applications. Below are 9 frameworks & sdks apps with similar functionality to agent-runtimes, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.

  • agent-runtime-kit
    pypi.org

    agent-runtime-kit is an open-source SDK providing a unified, typed runtime API for integrating Claude, Codex, and Antigravity agent frameworks. It streamlines agent orchestration and simplifies development for AI engineers and researchers.

  • agent-lifecycle
    pypi.org

    agent-lifecycle is an open-source Python package that supervises the process lifecycle of autonomous agents, independent of their harness (brain) or transport (e.g., IRC, Slack). It provides a unified runtime for managing agent processes, making it easier for developers to deploy and maintain agent-based systems.

  • agentu
    pypi.org

    agentu is an open-source AI agent runtime designed for developers to run autonomous agents with tool isolation, self-correction, and permission scoping. It provides a CLI interface and is suitable for building secure, extensible AI workflows.

  • agentrun-cli
    pypi.org

    agentrun-cli is an open-source command-line interface for managing AI agent infrastructure, including sandboxing and LLM integration. It enables developers and infrastructure engineers to efficiently control and deploy agent-based systems from the terminal.

  • agentao
    github.com

    agentao is an open-source governed agent runtime designed for running AI agents locally with a focus on privacy and embeddability. It supports multimodal agents, integrates with MCP, and is suitable for developers building private, local-first AI solutions.

  • agent-core-py
    github.com

    agent-core-py is an open-source Python runtime for building agentic AI applications and workflows that can leverage multiple LLM providers. It is designed for developers who need flexibility and extensibility in constructing agent-based systems.

  • AgentOS
    pypi.org

    AgentOS is an open-source Python microkernel runtime for building and running autonomous agents. It features MCP-native tools and supports multi-channel messaging, enabling developers to orchestrate complex agent workflows. Designed for Python developers working on agent-based systems.

  • relintio-agent
    pypi.org

    relintio-agent is an in-process agent designed for Python ASGI runtimes, enabling developers to add agent-based automation or monitoring to their web applications. It is distributed under a proprietary license by Relintio.

  • long-run-agent
    github.com

    long-run-agent is an open-source framework for managing long-running tasks performed by AI agents, with built-in quality assurance and monitoring. It is designed for AI developers and researchers who need to orchestrate and supervise complex agent workflows.