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John Doe 58653d5091 Deploy Phases 5-9: Autonomous Ops, Production Hardening, Memory Enhancement, Multi-User, Plugin Expansion

Phase 5 - Autonomous Operations:
- Add session keeper, thought-loop integration, dreamer agent
- modules/memory/dreamer-agent.js
- skills/dreamer-agent/

Phase 6 - Production Hardening:
- docs/operations/ runbooks, monitoring, backup config, governance quorum
- scripts/production-backup.sh

Phase 7 - Memory Enhancement:
- modules/memory/graph-rag-neo4j.js - Neo4j GraphRAG implementation
- modules/memory/episodic-consolidation-config.js
- modules/memory/semantic-promotion.js
- docs/memory/MEMORY_ENHANCEMENT_ARCHITECTURE.md

Phase 8 - Multi-User Setup:
- skills/user-rolodex/ - Identity resolution, relationship tracker
- docs/users/USER_MANAGEMENT.md

Phase 9 - Plugin Expansion:
- plugins/openclaw-hybrid-search-plugin/ - Hybrid search with fusion
- plugins/openclaw-multi-doc-retrieval/ - Multi-document retrieval
- plugins/openclaw-mcp-connectors/ - MCP connectors
- plugins/openclaw-skill-extensions/ - Skill extensions
- docs/plugins/PLUGIN_EXPANSION.md

2026-03-30 22:49:14 -04:00

src

Deploy Phases 5-9: Autonomous Ops, Production Hardening, Memory Enhancement, Multi-User, Plugin Expansion

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package.json

Deploy Phases 5-9: Autonomous Ops, Production Hardening, Memory Enhancement, Multi-User, Plugin Expansion

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README.md

Deploy Phases 5-9: Autonomous Ops, Production Hardening, Memory Enhancement, Multi-User, Plugin Expansion

2026-03-30 22:49:14 -04:00

SKILL.md

Deploy Phases 5-9: Autonomous Ops, Production Hardening, Memory Enhancement, Multi-User, Plugin Expansion

2026-03-30 22:49:14 -04:00

README.md

OpenClaw Hybrid Search Plugin

Advanced hybrid search plugin combining vector, keyword, and graph-based retrieval for enhanced RAG capabilities.

Features

Vector Search: Semantic search using embeddings
Keyword Search: Lexical search using BM25/TF-IDF
Graph Search: Relationship-based traversal
Hybrid Fusion: Weighted Reciprocal Rank Fusion (RRF)
Cross-Reference Linking: Automatic document linking
Reranking: Cross-encoder style result refinement

Installation

npm install @heretek-ai/openclaw-hybrid-search-plugin

Usage

const HybridSearchPlugin = require('@heretek-ai/openclaw-hybrid-search-plugin');

const search = new HybridSearchPlugin({
  vectorWeight: 0.5,
  keywordWeight: 0.3,
  graphWeight: 0.2,
  topK: 10,
  enableReranking: true
});

await search.initialize();

// Index a document
await search.index({
  id: 'doc-1',
  content: 'Document content here',
  metadata: { type: 'article', source: 'web' }
});

// Search
const results = await search.search('query terms', {
  topK: 10,
  filters: { type: 'article' }
});

Configuration

Parameter	Default	Description
`vectorWeight`	0.5	Weight for vector search results
`keywordWeight`	0.3	Weight for keyword search results
`graphWeight`	0.2	Weight for graph search results
`topK`	10	Default number of results
`minScore`	0.3	Minimum score threshold
`enableReranking`	true	Enable cross-encoder reranking

API

`search(query, options)`

Perform hybrid search across all retrieval methods.

`index(document)`

Index a document for hybrid retrieval.

`bulkIndex(documents)`

Index multiple documents at once.

`getStats()`

Get search statistics.

`clear()`

Clear all indices.

License

MIT