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Claraverse

ClaraVerse is a self-hosted AI workspace for chat, multi-agent teams with human review, visual workflows and Telegram integration, connecting hosted or local language models.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Claraverse — OpenViST project profile in Chat & Assistants.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use ClaraVerse when self-hosting and connecting your own model providers are important, especially if you also want agent teams, memory or visual workflows alongside chat.

Who it is for

  • People who want to run an AI workspace on infrastructure they control.
  • Users who want one interface for chat, agent collaboration and visual workflows.
  • Users of local models through Ollama or LM Studio, as well as hosted model providers.

Documented uses

  • Chat with hosted or locally running language models.
  • Assign work to multi-agent teams and review their work.
  • Build workflows in a visual builder.
  • Use remembered information across conversations, with visible and editable memory entries.
  • Connect Telegram integration within the workspace.
Before you choose

Requirements & limits

The repository documents a Docker Compose deployment and a Linux/macOS command-line installer. Its quick start says the first user to register becomes administrator. The repository identifies the project as AGPL-3.0.

  • The advanced Docker setup lists Docker Compose v2+, 4 GB RAM minimum and 8 GB recommended.
  • The documentation describes automatic discovery of Ollama and LM Studio; Ollama must be reachable from the Docker container.
  • Single-container mode lacks the Qdrant and embeddings sidecar required for Knowledge bases and RAG; the repository points to Docker Compose for the full stack.
  • The README says chats are stored locally by default and describes optional encrypted sync across machines.

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

Start ClaraVerse with Docker Compose

Set up the documented local Docker Compose deployment and open the workspace.

Before you start

  • Docker and Docker Compose v2+
  • At least 4 GB RAM; 8 GB recommended
  • Ollama, LM Studio, or an OpenAI-compatible API to connect a model

Steps

  1. Clone the ClaraVerse repository.

  2. Change into the ClaraVerse directory.

  3. Start the production stack with the command below.

    Documented command
    docker compose -f docker-compose.production.yml up -d

  4. Open http://localhost:3000 and register; the first registered user becomes the administrator.

Expected outcome

The locally hosted ClaraVerse workspace is available at `http://localhost:3000`.

Guide limitations

  • For Ollama running on the host, the documentation says to make it listen on 0.0.0.0 so the Docker container can reach it.
  • The repository specifies Qdrant and an embeddings sidecar for Knowledge bases and RAG; its single-container mode does not provide these supporting services.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
15 October 2026
Original website title
claraverse-space/ClaraVerse · Official homepage title · retained in its source language
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