Jan Adds One-Click OpenClaw Installation with Jan-v3-Base Model Integration
OpenClaw Integration Now Available in Jan
The Jan platform has added support for OpenClaw with a one-click installation process. According to Alan, a member of the Jan team and author of Jan models, this integration connects OpenClaw directly with the Jan-v3-base model. The key feature emphasized is that all processing remains local on your computer, maintaining privacy by keeping data offline.
This implementation appears to be a straightforward setup where users can install OpenClaw functionality without complex configuration. The integration specifically links to Jan's own v3-base model, suggesting optimized compatibility between the tools. For developers working with local AI models, this provides another option for accessing OpenClaw's capabilities within the Jan ecosystem while maintaining data privacy through local execution.
OpenClaw typically provides structured information and reference materials for developers working with AI tools and models. When integrated into Jan, it likely offers contextual assistance or documentation access alongside the Jan-v3-base model's capabilities. The local-only approach aligns with Jan's focus on privacy and offline functionality, which is particularly relevant for developers handling sensitive code or proprietary information.
📖 Read the full source: r/LocalLLaMA
👀 See Also
OpenObscure: Open-Source On-Device Privacy Firewall for AI Agents
OpenObscure is an open-source, on-device privacy firewall that sits between AI agents and LLM providers, using FF1 Format-Preserving Encryption to encrypt PII values before requests leave your device. It includes PII detection with 99.7% recall, cognitive firewall scanning, and runs on macOS/Linux/Windows with iOS/Android bindings.
A 7-File Governance Layer to Prevent LLM Session Drift
A developer created a governance layer with seven files to prevent Claude from silently undoing architectural decisions across sessions. The system includes active_context.md, contracts.md, and decisions.md files with a strict execution loop.
MemAware Benchmark Tests AI Memory Beyond Keyword Search
MemAware is a benchmark with 900 questions across 3 difficulty levels that tests whether AI assistants with memory can surface relevant context when queries don't hint at it. Results show BM25 search scored 2.8% vs 0.8% with no memory, while vector search drops to 0.7% on cross-domain connections.
Comparison of Four Managed OpenClaw Hosting Providers for 2026
A developer tested four managed OpenClaw hosting providers over two months, ranking them based on setup time, uptime, integration reliability, model routing, cost, and multi-step task handling. LobsterTank costs $2/month with basic container hosting, KiwiClaw is $39/month with better support, xCloud is $24/month with solid uptime, and RunLobster is $49/month with extensive tool integration and flat pricing.