
Sulcus
- Updated July 27, 2026
- digitalforgeca/sulcus
Sulcus is a thermodynamic memory platform whose Claude Code plugin adds hooks and MCP tools so agents can store, recall, and protect long-term context across sessions.
About
sulcus marketplace distributes claude-sulcus, a Claude Code plugin for persistent intelligent memory backed by the Sulcus API. It wires lifecycle hooks for auto-context, semantic search, file tracking, compaction awareness, and session capture plus MCP tools for full memory control. Choose it when your agent must remember preferences, decisions, and facts across sessions without naive RAG noise.
- claude-sulcus plugin with 7 lifecycle hooks
- 36 MCP tools for memory store, recall, and triggers
- Thermodynamic decay and knowledge-graph recall
- Connects to hosted Sulcus API at sulcus.ca
Sulcus by the numbers
- Data as of Jul 28, 2026 (Skillselion catalog sync)
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| Last updated | July 27, 2026 |
|---|---|
| Repository | digitalforgeca/sulcus ↗ |
How do I stop Claude Code from forgetting project facts and user preferences when context windows fill or sessions end?
Give Claude Code persistent thermodynamic memory via claude-sulcus hooks and MCP tools across sessions.
Who is it for?
Developers running multi-session Claude Code agents who need durable, searchable memory with decay and graph-aware recall.
Skip if: Short one-off prompts or teams unwilling to use the hosted Sulcus API and API keys.
What you get
Claude Code gains Sulcus hooks and MCP endpoints for remembering, recalling, boosting, and triggering on memory events via the Sulcus cloud API.
Plugins in this marketplace
1 plugin - install individually after you add the marketplace.
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FAQ
Is Sulcus self-hosted from this repo?
No—this repo ships clients and plugins; the server is proprietary and accessed via api.Sulcus.ca with an API key.
What does claude-Sulcus include?
Seven lifecycle hooks plus 36 MCP tools covering store, recall, compaction awareness, task capture, and memory protection.
How does recall differ from basic RAG?
Sulcus blends semantic search, heat-based decay, graph neighbors, recency, and triggers instead of naive vector retrieval alone.