RagLeap v0.9.0 — Self-hosted AI Office with sandboxed agents, approval inbox, and pluggable embeddings

RagLeap is an open-source AI-employee platform. v0.9.0 ships the AI Office.

TL;DR

• Dashboard at /office
• ragleap CLI: launch, stop, status, logs, update (with DB backup), key
• Pluggable embeddings (Ollama, OpenAI, Mistral, Gemini) + vector size check
• Agent loop: act-observe, sandboxed exec, MCP client, cron triggers
• Approval system: off/semi/full, taint after web fetch, network-less sandbox

How settings work now

Settings page > .env. UI shows source of each value. Keys are encrypted at rest, write-only in UI. Test connection button included.

Safety by default

• API-key auth on all data routes, no stack traces to client
• SSRF-safe fetch, sandbox has no network
• Approval inbox for all tool calls in semi/full mode

Install

curl -fsSL ... | bash

or

pip install ragleap-core
ragleap launch

Open PRs and issues welcome. I need clean-machine testers for installer.

Repo: github.com/antonyrag/ragleap-core
Release: v0.9.0 - f11d458