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Lightagent

Lightagent is an open-source Python framework for building agents that use compatible language models, tools, memory and configurable execution controls. It includes patterns for workflows, MCP connections and multi-agent collaboration.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Lightagent — 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 Lightagent when building a Python application that needs agent calls plus configurable tools, memory, policy controls, tracing or workflow orchestration.

Who it is for

  • Python developers building agent-powered applications
  • Teams that need to combine model calls with application-defined tools and policies
  • Developers composing repeatable workflows or connecting tools and services through MCP

Documented uses

  • Build a tool-using agent with persistent memory and guardrails.
  • Compose reusable Skills for repeatable agent capabilities.
  • Connect agent applications to MCP servers over stdio or SSE.
  • Add tracing and lifecycle hooks to observe or control agent runs.
  • Coordinate multi-step workflows or multi-agent collaboration.
Before you choose

Requirements & limits

The project repository is public and identifies Lightagent as open source under the Apache-2.0 license. Its quick-start instructions install the package with pip.

  • The quick start requires a model name, API key and base URL; provider-specific configuration depends on the endpoint.
  • MCP connections are documented over stdio and SSE, but supported servers and tools are not specified here.
  • Mem0 is described as an optional memory integration.
  • LightFlow’s documented example supports checkpoint persistence and resuming a failed workflow run.

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 Lightagent and run a basic agent

Set up the Python package and submit a query to a configured model.

Before you start

  • Python environment with pip
  • Model name, API key and base URL for a compatible model endpoint

Steps

  1. Install the package with the command below.

    Documented command
    pip install lightagent

  2. Import LightAgent from LightAgent and initialize it with a model name, API key and base URL.

  3. Call agent.run("Hello, who are you?") and print the returned response.

Expected outcome

A basic agent call returns a response string.

Guide limitations

  • The guide covers a basic model call only; provider-specific configuration is not detailed.
  • The API key and model endpoint must be supplied by the developer.
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
LightagentBuild a tool-using agent with persistent memory and guardrails.CLI, Linux, macOS, Self-hostedThe project repository is public and identifies Lightagent as open source under the Apache-2.0 license. Its quick-start instructions install the package with pip.
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
wanxingai/LightAgent · Official homepage title · retained in its source language
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