feat(memory): add Supermemory memory provider

plugins/memory/supermemory/README.md

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+# Supermemory Memory Provider
+
+Semantic long-term memory with profile recall, semantic search, explicit memory tools, and session-end conversation ingest.
+
+## Requirements
+
+- `pip install supermemory`
+- Supermemory API key from [supermemory.ai](https://supermemory.ai)
+
+## Setup
+
+```bash
+hermes memory setup    # select "supermemory"
+```
+
+Or manually:
+
+```bash
+hermes config set memory.provider supermemory
+echo "SUPERMEMORY_API_KEY=***" >> ~/.hermes/.env
+```
+
+## Config
+
+Config file: `$HERMES_HOME/supermemory.json`
+
+| Key | Default | Description |
+|-----|---------|-------------|
+| `container_tag` | `hermes` | Container tag used for search and writes |
+| `auto_recall` | `true` | Inject relevant memory context before turns |
+| `auto_capture` | `true` | Store cleaned user-assistant turns after each response |
+| `max_recall_results` | `10` | Max recalled items to format into context |
+| `profile_frequency` | `50` | Include profile facts on first turn and every N turns |
+| `capture_mode` | `all` | Skip tiny or trivial turns by default |
+| `entity_context` | built-in default | Extraction guidance passed to Supermemory |
+| `api_timeout` | `5.0` | Timeout for SDK and ingest requests |
+
+## Tools
+
+| Tool | Description |
+|------|-------------|
+| `supermemory_store` | Store an explicit memory |
+| `supermemory_search` | Search memories by semantic similarity |
+| `supermemory_forget` | Forget a memory by ID or best-match query |
+| `supermemory_profile` | Retrieve persistent profile and recent context |
+
+## Behavior
+
+When enabled, Hermes can:
+
+- prefetch relevant memory context before each turn
+- store cleaned conversation turns after each completed response
+- ingest the full session on session end for richer graph updates
+- expose explicit tools for search, store, forget, and profile access