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ddsyasas/llm-wiki

v1.2.0 Feature

This release adds 3 notable features for engineering teams evaluating rollout.

Published 8d Productivity & Wikis
✓ No known CVEs patched
Read the diff → Tool health → What is this tool? →

✓ No known CVEs patched in this version

Topics

agentic ai-agent byok karpathy knowledge-base knowledge-graph
+11 more
llm-wiki local-first markdown nextjs note-taking notebooklm-alternative obsidian-alternative openrouter personal-wiki second-brain typescript

Summary

AI summary

Updates What's new, Platform notes, and Other fixes across a mixed release.

Changes in this release

Feature Medium

Adds first-class local-model support via Ollama as a provider option.

Adds first-class local-model support via Ollama as a provider option.

Source: llm_adapter@2026-05-29

Confidence: high

Feature Medium

Adds settings banner alerting when Ollama is selected in any model slot.

Adds settings banner alerting when Ollama is selected in any model slot.

Source: llm_adapter@2026-05-29

Confidence: low

Feature Medium

Adds `/local-models` in‑app setup guide for installing and configuring Ollama.

Adds `/local-models` in‑app setup guide for installing and configuring Ollama.

Source: llm_adapter@2026-05-29

Confidence: low

Feature Low

Shows settings banner when any model slot uses Ollama, listing slots and linking to setup guide.

Shows settings banner when any model slot uses Ollama, listing slots and linking to setup guide.

Source: granite4.1:30b@2026-05-29-audit

Confidence: low

Feature Low

Introduces /local-models in‑app page with installation commands, hardware requirements table, quick picker, env var config, and troubleshooting steps for Ollama.

Introduces /local-models in‑app page with installation commands, hardware requirements table, quick picker, env var config, and troubleshooting steps for Ollama.

Source: granite4.1:30b@2026-05-29-audit

Confidence: low

Performance Low

Increases test suite coverage to 195 passing tests (adds one new migration test).

Increases test suite coverage to 195 passing tests (adds one new migration test).

Source: llm_adapter@2026-05-29

Confidence: low

Performance Low

Expands test suite to 195 passing tests, adding a migration test for legacy config handling.

Expands test suite to 195 passing tests, adding a migration test for legacy config handling.

Source: granite4.1:30b@2026-05-29-audit

Confidence: low

Bugfix Medium

Automatically migrates legacy string‑shaped model configs to new `{ provider, model }` shape on read.

Automatically migrates legacy string‑shaped model configs to new `{ provider, model }` shape on read.

Source: llm_adapter@2026-05-29

Confidence: low

Full changelog

First minor release since the v1.x line began — adds first-class local-model support via Ollama plus the UX scaffolding that makes it self-explanatory to use.

Headline contribution by @savindugeethma — first external PR merged into the project. 4-round review process (PR #1PR #2) before landing as squash commit 35149a3. Thanks for the patient iteration.

Install

npm install -g @syasas/llm-wiki@latest
# or pin: npm install -g @syasas/[email protected]

If npm is unavailable: npm install -g https://github.com/ddsyasas/llm-wiki/releases/download/v1.2.0/syasas-llm-wiki-1.2.0.tgz.

What's new

Local models (Ollama) as a first-class provider

Run any operation (ingest / query / chat / lint / vision) against a model on your own machine instead of OpenRouter. Free per query after the one-time model download. Fully private — your sources never leave your laptop.

  • Settings → Models: each slot now has a Provider dropdown — choose OpenRouter (cloud) or Ollama (Local). Mix and match per slot.
  • 10 suggested Ollama models in the dropdown (llama3, mistral, phi3, llava, etc.) with sensible vision-only filtering on the vision slot.
  • Backward compatible: existing wiki configs with the old string model shape are auto-migrated to the new { provider, model } shape on next read. No manual edits needed.
  • If you only use Ollama: no OpenRouter API key required. The first-run wizard skips the key step entirely when at least one operation is set to Ollama.

Settings banner — heads-up when Ollama is selected

Amber banner appears at the top of Settings → Models if any slot uses Ollama, listing which slots and linking to the setup guide. Removes the "I selected Ollama, why am I getting Connection error?" failure mode that bit users who selected Ollama without realizing Ollama itself has to be installed locally first.

/local-models setup guide

New in-app page with everything needed to actually use Ollama:

  • Install commands for macOS / Linux / Windows
  • How to pull a model + verify Ollama is running
  • Hardware requirements table covering 9 common models (phi3 / llama3 / mistral / mixtral / llama3:70b / gemma2 / llava / moondream / phi3:medium) with disk size, RAM minimum + recommended, tokens-per-sec on Apple Silicon vs CPU-only, and what each model is best for
  • "Quick picker" mapping 5 common hardware profiles ("old 8 GB laptop" / "modern 16 GB" / "Apple Silicon 64 GB unified" / etc.) to recommended models
  • Custom OLLAMA_BASE_URL env var for tunneled or networked Ollama
  • Troubleshooting for the 6 errors users actually hit

Cross-linked from /help (new section + TOC entry) and /developers (Swapping LLM providers section).

Other fixes

  • All v1.1.x improvements still in (cross-platform install, npm publish, case-insensitive CLI commands, welcome banner, etc.)
  • Test suite up to 195 passing (1 new test for the legacy-string-shape WikiSettings migration)

Upgrading from v1.1.x

Wiki on-disk format is unchanged within v1.x. The settings shape change is handled transparently by the parser. Just install the new version:

npm install -g @syasas/llm-wiki@latest

Then optionally open Settings → Models to try the new Provider dropdown.

Platform notes

  • macOS: verified
  • Linux (incl. WSL): verified
  • Windows: verified

Same as v1.1.0/v1.1.1 — better-sqlite3 and keytar install per-platform via npm.

Full changelog

See dev-log.md sections P through V for the full sequence from V1.x sprint through this release.

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Beta — feedback welcome: [email protected]