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Aser

Aser is an open-source Python framework for assembling AI agents from configurable models, tools, memory, knowledge retrieval, tracing and integrations. Its examples cover API and CLI access, custom workflows, evaluation and multi-agent coordination.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Aser — 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 Aser when you need a Python framework to assemble and customize an agent, rather than a hosted, ready-to-use chatbot. It is a fit when you want to explore components such as tools, memory, retrieval, tracing, API serving or multi-agent coordination through code examples.

Who it is for

  • Python developers building agents for their own applications.
  • Teams exploring tool-using agents with memory or retrieval.
  • Developers implementing custom or multi-agent workflows.

Documented uses

  • Configure an agent with a model and send it chat prompts.
  • Combine tools, memory, knowledge retrieval and tracing in an agent.
  • Build custom workflows and coordinate specialized agents through routing or sequential, parallel, reactive or hierarchical patterns.
  • Explore API-server or CLI interaction examples for an agent.
  • Connect an agent with MCP or Google Agent2Agent integrations.
Before you choose

Requirements & limits

The project is publicly available on GitHub and is licensed under MIT. The README documents installation through pip or from a repository clone.

  • Aser is a framework that developers assemble into applications; the API server and client examples are implementation paths, not evidence of a hosted service.
  • The README illustrates model connection settings with a base URL and key, so model configuration is part of setup.
  • Memory and retrieval are represented as configurable components, but their underlying storage and implementation details are not described.
  • The README identifies MCP and Google Agent2Agent examples without specifying compatible servers, transports or deployment requirements.
  • The repository documents an API server example but provides no production deployment or readiness details.

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 Aser and prepare model settings

Set up the Python package and configure the model connection needed for an agent.

Before you start

  • Python environment capable of installing Python packages.
  • A model base URL and model key, if required by the model configuration you choose.

Steps

  1. Install the package with the command below, or clone the repository and install its requirements with the command below.

    Documented command
    pip install aser
    Documented command
    pip install -r requirements.txt

  2. Create a .env file using .env.example as a reference, and add the settings you use, such as MODEL_BASE_URL and MODEL_KEY.

  3. If using a repository clone, run the command below from the project root before running the examples.

    Documented command
    pip install -e .

Expected outcome

The Aser package is installed and the local-source import setup is prepared for using the documented examples.

Guide limitations

  • This covers installation and environment preparation, not deployment or a verified agent run.
  • The README does not specify which model providers or settings are required for every configuration.
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
AserConfigure an agent with a model and send it chat prompts.CLI, Self-hosted, ServerThe project is publicly available on GitHub and is licensed under MIT. The README documents installation through pip or from a repository clone.
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
9 October 2026
Original website title
AmeNetwork/aser · Official homepage title · retained in its source language
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