This release adds 3 notable features for engineering teams evaluating rollout.
✓ No known CVEs patched in this version
Topics
+3 more
Summary
AI summaryUpdates Local runtime and architecture, MCP, and Product positioning across a mixed release.
Full changelog
Generate a learning map. Click any topic. Follow the thread.
0.2.0 takes Clew from a graph experiment to a product. Three big additions: Obsidian bridge in both directions, an MCP server so external assistants can read your graph, and a real light/dark theme split.
Product positioning
- Renamed the product to Clew.
- New brand mark, favicon set, launch loader, and product language.
- Reframed around personal adaptive learning paths instead of generic graph visualization.
Interface and themes
- Full light and dark theme support (Paper light + Midnight dark).
- Rebuilt large parts of the workspace shell. Cleaner graph controls, denser readability, smoother idle motion, stable curved edges.
- Theme CSS split into core, overrides, workspace chat, dialog/canvas, and token files.
Obsidian bridge
- Import: vault folder → graph package, with preview + validation. Notes become topics, wiki links become edges, folders become zones, missing links become placeholder topics, note bodies survive as artifacts.
- Export: any Clew graph → Obsidian-ready folder with topic notes, resources, artifacts, zones, metadata, optional progress.
MCP
- New
Clew Study Assist. A read-only MCP stdio server. - Tools:
list_graphs,get_current_learning_context,get_node,search_notes. - Setup docs for Claude Desktop, Claude Code, Cursor.
- Read-only by design. Graph edits still go through Clew's propose / review / apply flow.
Local runtime and architecture
.env.examplefor faster first install.- Refined planner prompts and proposal validation.
- Backend route dependencies and helpers split out.
- Repository storage and config concerns separated.
- Local debug log capture for frontend / API / backend errors.
- New tests across chat persistence, MCP tools, providers, proposals, repository, quiz routes, graph canvas core, and graph interactions.
Why this release matters
You can start from a goal, notes, or messy topics; let AI draft the structure; inspect the graph; study through it; and keep the path portable through Obsidian and MCP.
Still local-first, still hackable.
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