Package Exports

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Readme

MemoryStack Plugin for OpenClaw

Long-term memory for OpenClaw (formerly Clawdbot). Automatically remembers conversations, recalls relevant context, and builds a persistent memory layer — all powered by MemoryStack cloud.

Install

openclaw plugins install @memorystack/clawdbot-memorystack

Restart OpenClaw after installing.

Configuration

The only required value is your MemoryStack API key. Get one at memorystack.app/dashboard/api-keys.

Set it as an environment variable:

export MEMORYSTACK_API_KEY="ms_proj_..."

Or configure it directly in openclaw.json (or moltbot.json):

{
  "plugins": {
    "entries": {
      "clawdbot-memorystack": {
        "enabled": true,
        "config": {
          "apiKey": "${MEMORYSTACK_API_KEY}",
          "autoRecall": true,
          "autoCapture": true
        }
      }
    }
  }
}

Advanced options

Key	Type	Default	Description
`apiKey`	`string`	-	Your MemoryStack API key (required)
`baseUrl`	`string`	`https://memorystack.app`	API endpoint URL
`autoRecall`	`boolean`	`true`	Inject relevant memories before every AI turn
`autoCapture`	`boolean`	`true`	Automatically store conversation content after every turn
`maxRecallResults`	`number`	`5`	Max memories injected into context per turn (1-20)
`debug`	`boolean`	`false`	Verbose debug logs for API calls and responses

Slash Commands

Use these commands directly in chat:

Command	Description
`/add <text>`	Save something to long-term memory
`/search <query>`	Search your memories
`/stats`	View memory usage statistics

CLI Commands

Manage memories from the terminal:

openclaw memorystack search "project alpha"
openclaw memorystack stats
openclaw memorystack add "The server IP is 10.0.0.5"
openclaw memorystack deleteall   # Destructive!

How it works

Once installed, the plugin works automatically with zero interaction:

Auto-Recall — Before every AI turn, the plugin queries MemoryStack for relevant memories and injects them as context using semantic search.
Auto-Capture — After every AI turn, the last user/assistant exchange is sent to MemoryStack for extraction and long-term storage.

Everything runs in the cloud. MemoryStack handles importance scoring, contradiction detection, consolidation, and reflection on its end.

Features

Hybrid Search - Vector similarity + text search with RRF ranking
Importance Scoring - Automatic ranking of what matters
Contradiction Detection - Resolves conflicts and updates beliefs
Memory Consolidation - Deduplication and merging (runs server-side)
Temporal Decay - Simulates natural forgetting
Reflection - Discovers patterns and generates insights

License

MIT

@memorystack/clawdbot-memorystack