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Octop Harness

Octop Harness is a Python agent runtime that wraps the deepagents agent-creation primitive with components for model routing, memory, tools, agent management and workspace storage.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Octop Harness — 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 it when building a code-based agent runtime where model choice, memory and workspace storage need to be integrated as distinct components.

Who it is for

  • Python developers building agents to run as services or in self-hosted environments.
  • Teams that need to manage multiple agents within one process.
  • Developers connecting agents to different model providers, tools or workspace backends.

Documented uses

  • Assemble agents on top of deepagents.
  • Route agent requests to supported model providers and presets.
  • Manage and stream interactions with multiple agents in one process.
  • Add persistent memory, tools and configurable workspace storage.
  • Connect IDE or terminal AI clients through a stdio Agent Client Protocol server.
Before you choose

Requirements & limits

The project is open source under the MIT license. Python 3.12 or newer is specified.

  • The core agent primitive is deepagents.create_deep_agent, with LangGraph providing the graph runtime and SQLite checkpointing.
  • First-class model providers are OpenAI, Anthropic and AWS Bedrock; Bedrock uses an optional package extra, and the README lists 17 editable presets.
  • Workspace options listed are local disk, S3, COS and PostgreSQL.
  • Tiered memory is supplied through the separate octop-memory middleware; browser tools use the separate octop-browser project.
  • The README documents a terminal CLI and a stdio Agent Client Protocol integration.

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

Set up Octop Harness in a Python 3.12+ environment

Prepare the documented Python prerequisite for using Octop Harness as an agent runtime.

Before you start

  • Python 3.12 or later.

Steps

  1. Install Python 3.12 or later in the environment where you intend to use the runtime.

  2. Continue with the project’s README for usage instructions and further setup.

Expected outcome

A Python environment meeting the stated version requirement is ready for the next usage stage.

Guide limitations

  • The available project description does not provide installation commands or a complete setup procedure.
  • This guide prepares the Python prerequisite only; it does not create, configure, or run an agent.
Documentation 1 ↗Documentation 2 ↗
Evidence and transparency

Sources & review

Official repository ↗Guide documentation ↗
Source record details
Source availability
Active
Sources checked
10 October 2026
Original website title
TencentCloud/octop-harness · Official homepage title · retained in its source language
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