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Multi-Agent Systems

Agentic OS

A locally hosted multi-agent orchestration framework and dashboard coordinating opencode, Hermes Agent and Gemini CLI, with a shared control layer for memory, skills, scheduling, analytics and backup.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Agentic OS — OpenViST project profile in Multi-Agent Systems.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when separate agent tools need a common dashboard, persistent context, scheduled work and operational visibility.

Who it is for

  • Developers coordinating several CLI-based AI agents
  • Teams or individuals building recurring agent workflows with shared context
  • Builders exploring self-hosted dashboards, skill execution and agent operations

Documented uses

  • Route work among supported coding, DevOps, memory, research and analysis agents
  • Run reusable skills and inspect their evaluation history
  • Store and search persistent project context, skills and journal entries
  • Schedule recurring agent jobs and review execution history
  • Monitor costs, health, errors, sessions and audit events
Before you choose

Requirements & limits

The repository is described as open source and carries an MIT license. The project profile lists Web, Linux, macOS, Windows and server environments, and the documentation describes local hosting.

  • Its documented coordination model is built around opencode, Hermes Agent and Gemini CLI or agy CLI references in the repository.
  • Persistent memory uses SQLite FTS5 and a brain folder, with full-text search across documented content areas.
  • The scheduler documentation describes APScheduler jobs, file-watcher reloading and a webhook receiver.
  • Operational tooling includes cost analytics, audit trails, error tracking, circuit-breaker status, health monitoring and one-click backup.
  • The project profile identifies JavaScript as the primary language while the repository documentation also specifies FastAPI and Python 3.10+ badges.

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 the documented Agentic OS stack

Prepare the project as a local dashboard for coordinating its named agent systems.

Before you start

  • The repository documents Python 3.10+.
  • The repository documents FastAPI 0.115+.
  • The documented agent systems are opencode, Hermes and agy CLI.

Steps

  1. Use the Agentic OS repository as the project source.

  2. Prepare the documented Python 3.10+ and FastAPI 0.115+ environment.

  3. Configure the documented opencode, Hermes and agy CLI agent systems as the coordinated backends.

  4. Use the dashboard layers for routing, skills, memory, scheduling and operational monitoring.

Expected outcome

A locally hosted control plane organized around the documented multi-agent architecture.

Guide limitations

  • The supplied documentation does not provide complete installation commands or verify a successful local deployment.
  • The documented backend set names opencode, Hermes and agy CLI; other backends require modification.
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
Agentic OSRoute work among supported coding, DevOps, memory, research and analysis agentsLinux, macOS, Self-hosted, ServerThe repository is described as open source and carries an MIT license. The project profile lists Web, Linux, macOS, Windows and server environments, and the documentation describes local hosting.
MassgenRun multiple AI agents against the same user task.CLIThe repository documents installation through pip or uv and requires Python 3.11 or later. Setup can configure API keys for OpenAI, Anthropic, Google and xAI; credentials are needed for the selected model backends.
Langchain Multi Agents BoilerplateRoute incoming football questions to model and agent workflows according to task complexity.WebThe repository is public and specifies an MIT license. Running the application requires OpenAI and Groq API keys and a Redis server.
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
30 September 2026
Original website title
modimihir07/agentic-os · Official homepage title · retained in its source language
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