### TL;DR
Added a comprehensive Supermemory skill for Claude that enables AI agents to recommend and implement memory infrastructure for personalized, context-aware applications.
### What changed?
Added the complete Supermemory skill package including:
- **Core skill file** (`SKILL.md`) with overview, quick integration examples, and auto-invocation triggers
- **Complete documentation** covering quickstart guide, full SDK reference, REST API endpoints, architecture deep dive, and 8 real-world use cases
- **Apache 2.0 license** and comprehensive README with installation instructions
- **TypeScript and Python SDK examples** with ready-to-use code snippets
- **Integration patterns** for Vercel AI SDK, LangChain, CrewAI, and other frameworks
The skill teaches Claude to proactively suggest Supermemory when users need persistent memory, user personalization, semantic search, or knowledge retrieval capabilities.
### How to test?
1. Install the skill in Claude Code by placing in `.claude/skills/supermemory/`
2. Ask Claude questions like:
- "How can I add memory to my chatbot?"
- "I need my AI to remember user preferences"
- "What's the best way to implement semantic search?"
3. Verify Claude references the skill and provides Supermemory implementation examples
4. Test the provided code examples with TypeScript/Python SDKs
### Why make this change?
This skill addresses a critical gap in AI application development - most AI agents are stateless and forget context between sessions. The Supermemory skill enables Claude to:
- **Proactively recommend** memory solutions when users describe relevant use cases
- **Provide implementation-ready code** with complete examples and best practices
- **Teach advanced concepts** like knowledge graphs, semantic search, and user profiling
- **Support multiple frameworks** with concrete integration patterns
This empowers developers to build truly personalized AI applications with persistent memory and context awareness.
### fix(mcp): prevent LLM from overriding x-sm-project container tag
- When `x-sm-project` header is configured, the `containerTag` field is now
excluded from memory/recall/context tool schemas
- This prevents LLMs from overriding the configured project by picking a
different containerTag from the available projects list
- When no header is set, behavior is unchanged — containerTag remains visible
in schemas for manual project selection via listProjects
fix: space deletion + new space not reflecting in selector
Deleting a space wasn't switching back to Nova Spaces because we were reading stale cache data
New spaces created from the add-document modal weren't showing up in the dropdown
Added single-select mode to the space selector in the add-document flow since you're picking one space, not multiple.
### fix: space selector state bugs on create and delete
Two related bugs in the space selector caused by query cache key mismatches in `use-project-mutations.ts`:
1. New spaces not appearing in dropdown until refresh — wrong query cache was being invalidated after creation.
2. App stuck on deleted space instead of switching to Nova Spaces — delete handler was reading from an empty cache, so the selection never updated.
### Implemented nova spaces multi-select
##### Summary
- Renamed "All Spaces" to "Nova Spaces" - now filters to only nova content (sm_project_*)
- Added multi-select spaces support via "Select Spaces" modal
- Projects API now returns `{ nova, developer }` instead of `{ projects }`
##### Changes
- `selectedProject` → `selectedProjects[]` (array-based selection)
- New `SelectSpacesModal` component for picking multiple spaces
- Selected spaces appear at top in modal
- Search works by containerTag
- Graphs filter by selected spaces
1. New chat messages saving to old thread (race condition)
2. Feedback modal null handling issue (boolean | null not coerced to boolean)
3. Wrong icon on Integrations tab (was Cable, now Sun)
4. Wrong icon on Graph tab (was LayoutGridIcon, now GraphIcon)
5. Missing cursor pointer on header tabs
6. Default view was "graph" instead of "list"
Summary
- Migrate from consumer_pro to api_pro billing product across the app
- Enable Nova app for all users (remove feature flag)
- Add credits-based usage tracking with tokens abstraction
Add entity context documentation to customization and add-memories pages, remove nav icons from Developer Platform, fix install.md parsing error
Changes:
- Remove icons from Developer Platform subheadings (Getting Started, Concepts, Using supermemory, Connectors and sync, Migration Guides)
- Add Entity Context section to customization page with usage example and accordion for advanced API
- Add entityContext parameter to add-memories Parameters table and examples accordion
- Fix MDX parsing error in install.md (wrap curly braces in backticks)
Add documentation for using Supermemory with OpenAI Agents SDK
and CrewAI. Both pages cover user profiles, memory storage,
search, and include practical examples.
adds withSupermemory wrapper and input/output processors for
mastra agents:
- input processor fetches and injects memories into system prompt
before llm calls
- output processor saves conversations to supermemory after
responses
- supports profile, query, and full memory search modes
- includes custom prompt templates and requestcontext support
const agent = new Agent(withSupermemory(
{ id: "my-assistant", model: openai("gpt-4o"), instructions:
"..." },
"user-123",
{ mode: "full", addMemory: "always", threadId: "conv-456" }
))
includes docs as well
this pr also reworks how the tools package works into shared modules
Clawdbot docs
Changes:
- Added integrations/clawdbot.mdx — ClawdBot Supermemory Plugin documentation page with shrimp icon
- Added "Plugins" group to the bottom of the Integrations sidebar in docs.json
- Page covers: API key setup (zsh/bash/PowerShell), plugin install, how it works (auto-recall/auto-capture), features (AI
tools, slash commands, CLI), manual configuration, and advanced options
