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Alphora

Alphora is an Apache-2.0 Python framework for building composable AI agents with orchestration, tool execution, memory, skills, code sandboxing, streaming and deployment support.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Alphora — OpenViST project profile in Agent Frameworks.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use Alphora when an AI application needs more than a single model call, especially when it combines tools, memory, skills, sandboxed code, multi-agent orchestration or streamed service responses.

Who it is for

  • Python developers building AI agent applications
  • Teams implementing multi-agent workflows
  • Developers exposing agents through OpenAI-compatible APIs
  • Builders needing tool execution, contextual memory or sandboxed code

Documented uses

  • Build agents with ReAct or plan-execute workflows
  • Register typed tools for model-driven function calling
  • Maintain multi-session or processed agent memory
  • Run generated code in local or Docker-based sandboxes
  • Stream agent responses through an API or frontend
Before you choose

Requirements & limits

The repository is public and identifies the project as Apache-2.0 licensed. Installation is documented through pip; no account, price or service-availability requirement is specified in the supplied material.

  • Python 3.11 or newer is shown in the installation requirements.
  • A compatible OpenAI-style model API is needed for the documented model integrations.
  • Docker or remote Docker is relevant when using those sandbox runtimes.
  • The MCP integration requires the separate alphora[mcp] extra.
  • The repository recommends alphora >= 1.3.3 for concurrent production APIs.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install Alphora and add optional integrations

Set up the Python package and the documented optional MCP or terminal-rendering extras.

Before you start

  • Python 3.11 or newer
  • A Python environment with pip

Steps

  1. Install the base package with pip install alphora.

  2. Install alphora[mcp] when MCP tool integration is required.

  3. Install alphora[cli] when terminal rich split-pane rendering is required.

Expected outcome

The Alphora package is installed with the selected optional integration.

Guide limitations

  • This setup recipe does not document model configuration, agent execution or deployment.
  • The repository recommends alphora >= 1.3.3 for concurrent production APIs because of request-scoped configuration and sandbox-isolation fixes.
Documentation 1 ↗
COMPARE OPTIONS

Compare options for Agent orchestration

These projects document a common task and share a project role. This is a source-based comparison, not an execution benchmark or a guarantee of interchangeability.

ProjectDocumented purposePlatformAccess and requirements
AlphoraBuild agents with ReAct or plan-execute workflowsCloud, Self-hosted, ServerThe repository is public and identifies the project as Apache-2.0 licensed. Installation is documented through pip; no account, price or service-availability requirement is specified in the supplied material.
AgeniteDefine typed tools with JSON Schema validation and error handling.CLI
VeldraCreate an agent with a policy, tools, skills, knowledge base and reasoning method.Self-hostedThe documented deployment is self-hosted and uses a sign-in gate after a first-run administrator account is created.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
3 October 2026
Original website title
opencmit/alphora · Official homepage title · retained in its source language
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