openclaw/extensions/memory-lancedb/package.json

{
  "name": "@openclaw/memory-lancedb",
  "version": "2026.3.12",
  "private": true,
  "description": "OpenClaw LanceDB-backed long-term memory plugin with auto-recall/capture",
  "type": "module",
  "dependencies": {
    "@lancedb/lancedb": "^0.26.2",
    "@sinclair/typebox": "0.34.48",
    "openai": "^6.27.0"
  },
  "openclaw": {
    "extensions": [
      "./index.ts"
    ]
  }
}
feat(memory): add lifecycle hooks and vector memory plugin Add plugin lifecycle hooks infrastructure: - before_agent_start: inject context before agent loop - agent_end: analyze conversation after completion - 13 hook types total (message, tool, session, gateway hooks) Memory plugin implementation: - LanceDB vector storage with OpenAI embeddings - kind: "memory" to integrate with upstream slot system - Auto-recall: injects <relevant-memories> when context found - Auto-capture: stores preferences, decisions, entities - Rule-based capture filtering with 0.95 similarity dedup - Tools: memory_recall, memory_store, memory_forget - CLI: clawdbot ltm list\|search\|stats Plugin infrastructure: - api.on() method for hook registration - Global hook runner singleton for cross-module access - Priority ordering and error catching Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> 2026-01-18 05:40:58 +00:00			`{`
refactor: rename to openclaw 2026-01-30 03:15:10 +01:00			`"name": "@openclaw/memory-lancedb",`
chore: prepare 2026.3.12 release 2026-03-13 01:37:52 +00:00			`"version": "2026.3.12",`
chore(extensions): mark bundled packages private 2026-02-09 12:56:04 -06:00			`"private": true,`
refactor: rename to openclaw 2026-01-30 03:15:10 +01:00			`"description": "OpenClaw LanceDB-backed long-term memory plugin with auto-recall/capture",`
chore: Run `pnpm format:fix`. 2026-01-31 21:13:13 +09:00			`"type": "module",`
feat(memory): add lifecycle hooks and vector memory plugin Add plugin lifecycle hooks infrastructure: - before_agent_start: inject context before agent loop - agent_end: analyze conversation after completion - 13 hook types total (message, tool, session, gateway hooks) Memory plugin implementation: - LanceDB vector storage with OpenAI embeddings - kind: "memory" to integrate with upstream slot system - Auto-recall: injects <relevant-memories> when context found - Auto-capture: stores preferences, decisions, entities - Rule-based capture filtering with 0.95 similarity dedup - Tools: memory_recall, memory_store, memory_forget - CLI: clawdbot ltm list\|search\|stats Plugin infrastructure: - api.on() method for hook registration - Global hook runner singleton for cross-module access - Priority ordering and error catching Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> 2026-01-18 05:40:58 +00:00			`"dependencies": {`
chore: Update deps. 2026-02-10 08:52:07 +09:00			`"@lancedb/lancedb": "^0.26.2",`
chore: Update deps + `pnpm dedupe`. 2026-01-31 16:25:44 +09:00			`"@sinclair/typebox": "0.34.48",`
chore: update dependencies except carbon 2026-03-07 10:54:18 +00:00			`"openai": "^6.27.0"`
feat(memory): add lifecycle hooks and vector memory plugin Add plugin lifecycle hooks infrastructure: - before_agent_start: inject context before agent loop - agent_end: analyze conversation after completion - 13 hook types total (message, tool, session, gateway hooks) Memory plugin implementation: - LanceDB vector storage with OpenAI embeddings - kind: "memory" to integrate with upstream slot system - Auto-recall: injects <relevant-memories> when context found - Auto-capture: stores preferences, decisions, entities - Rule-based capture filtering with 0.95 similarity dedup - Tools: memory_recall, memory_store, memory_forget - CLI: clawdbot ltm list\|search\|stats Plugin infrastructure: - api.on() method for hook registration - Global hook runner singleton for cross-module access - Priority ordering and error catching Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> 2026-01-18 05:40:58 +00:00			`},`
refactor: rename to openclaw 2026-01-30 03:15:10 +01:00			`"openclaw": {`
chore: update dependencies 2026-01-18 14:15:32 +00:00			`"extensions": [`
			`"./index.ts"`
			`]`
feat(memory): add lifecycle hooks and vector memory plugin Add plugin lifecycle hooks infrastructure: - before_agent_start: inject context before agent loop - agent_end: analyze conversation after completion - 13 hook types total (message, tool, session, gateway hooks) Memory plugin implementation: - LanceDB vector storage with OpenAI embeddings - kind: "memory" to integrate with upstream slot system - Auto-recall: injects <relevant-memories> when context found - Auto-capture: stores preferences, decisions, entities - Rule-based capture filtering with 0.95 similarity dedup - Tools: memory_recall, memory_store, memory_forget - CLI: clawdbot ltm list\|search\|stats Plugin infrastructure: - api.on() method for hook registration - Global hook runner singleton for cross-module access - Priority ordering and error catching Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> 2026-01-18 05:40:58 +00:00			`}`
			`}`