claraverse-space/claraverse

Claraverse is a opesource privacy focused ecosystem to replace ChatGPT, Claude, N8N, ImageGen with your own hosted llm, keys and compute. With desktop, IOS,...

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Summary Information

Updated 22 minutes ago
Added to GitGenius on September 17th, 2026
Created on March 10th, 2025
Open Issues & Pull Requests: 8 (+0)
GitHub issues: Enabled
Number of forks: 437
Total Stargazers: 3,900 (+0)
Total Subscribers: 52 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 18.2 hours
Mean response time: 20.6 days
90th percentile: 67.3 days
Tracked items: 169

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Issue Activity (beta)

Open issues: 7
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 121 days
Stale 30+ days: 5
Stale 90+ days: 3

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • bug (6)
  • enhancement (3)

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Detailed Description

Claraverse is a privacy-focused AI workspace platform that replaces ChatGPT, Claude, and related services with self-hosted alternatives across desktop, iOS, and Android applications.

The tool addresses the need for private, controllable AI infrastructure by bundling chat, multi-agent teams, visual workflow building, and Telegram integration into a single self-hosted application. It automatically detects and imports models from local AI providers like Ollama and LM Studio without requiring configuration. Users can connect to OpenAI, Claude, Gemini, or run entirely on local models. Chats are stored locally by default, with optional encrypted synchronization across devices. The platform emphasizes three core features: agents that function as actual teams with human review checkpoints, a layered memory system that behaves like real memory rather than flat note lists, and licensing that does not introduce charges as projects scale.

Claraverse suits developers and organizations seeking complete control over their AI infrastructure and data privacy. It works well for teams needing multi-agent workflows with human oversight, projects requiring local-only operation, and users who want to avoid vendor lock-in. The README explicitly compares the tool to Open WebUI, indicating this as a primary alternative consideration. The platform requires Docker and Docker Compose, with a minimum of four gigabytes of RAM, though eight gigabytes is recommended. The full feature set including knowledge bases and retrieval-augmented generation requires additional sidecars for embeddings, vector storage via Qdrant, and search capabilities.

Development activity shows consistent engagement with community contributions through Hacktoberfest participation. The project maintains active documentation and provides multiple deployment pathways from single-container setups to full Docker Compose stacks with supporting services. The codebase is written in TypeScript and includes automated discovery mechanisms that poll local AI providers every two minutes, automatically disabling offline providers and re-importing models when they return online. The tool includes a terminal-based agent interface alongside the web application, extending accessibility beyond graphical interfaces.