1.2.0 — Open helm
Multi-provider, a self-summarizing memory, and an easier first contact.
- Multi-provider models: point sessions at any Anthropic-compatible endpoint (Kimi/Moonshot, GLM/Z.AI, DeepSeek, or a local LiteLLM→Ollama proxy) from Profile → Model — base URL + key + model, applied per session, presets included. Sessions still run the Claude Code engine.
- Priority notes: mark a durable fact
priority: high— recall boost, ★ in the cockpit, tops the generatedMEMORY.md. - Memory digest: one click spawns a session that condenses the whole memory (+ recent git history) into a
project-statusnote. - Knowledge graph: the Memory/KB tab renders the
[[wikilinks]]as an interactive force-directed map — no dependencies added. - Sample workspace:
examples/fastapi-notes/— a tiny FastAPI project plus the memory notes that make recall click, with a board-seeding script. scripts/doctor.sh: read-only install checkup (prereqs,.env, stack health).- CI cross-builds both images for linux/arm64; new integration tests for the critical flow (spawn → memory pre-seed → tool approval) and the LLM modes.
Meet Nina 🧭
This release also ships Nina (S1), the embedded DevOps assistant — a floating 🧭 in the cockpit that knows the product inside out (sessions, memory, fleet, runbooks) and answers right next to your work.
- Strict guardrails: she never sees your secrets or your code, and touches nothing — she guides, you hold the helm.
- SOKKAN Cloud: included on every instance, zero setup, from your first login — with Swiss sovereignty, mandatory: wherever Nina has access to your context, her inference runs on Infomaniak's AI API, hosted in Switzerland — non-negotiable, never retained, never used for training.
- Self-host: she ships in this repo — enable
SOKKAN_FEATURE_ASSISTANT=1and point her at the model of your choice. - She also answers product questions on sokkan.ch before you ever install.
Install/upgrade: curl -fsSL https://sokkan.ch/install.sh | sh
