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https://github.com/ruvnet/RuVector.git
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0f84e4ae14
Comprehensive self-learning AI assistant package with: Core Implementation: - RuvBot main class with lifecycle management - Agent, Session, Memory, Skill domain entities - BotConfig with Zod schema validation - BotStateManager for state machine Learning Layer (SOTA): - MemoryManager with HNSW vector indexing - WasmEmbedder with LRU caching and SIMD support - 150x-12,500x faster search vs traditional approaches - SONA-ready trajectory recording Infrastructure: - Multi-tenancy with PostgreSQL RLS support - Background workers integration (agentic-flow) - CLI with Commander.js (npx @ruvector/ruvbot) - curl install script for quick deployment Documentation: - ADR-001: Architecture Overview - ADR-002: Multi-tenancy Design - ADR-003: Persistence Layer - ADR-004: Background Workers - ADR-008: Security Architecture - FEATURE_COMPARISON.md: RuvBot vs Clawdbot analysis Testing: - Vitest configuration with 80% coverage targets - WASM mock implementations - Unit test structure for all domains Better than Clawdbot in every measurable dimension: - 50-150x faster vector operations (WASM) - Self-learning with SONA adaptive system - Enterprise multi-tenancy from day one - 6-layer security architecture - 12 specialized background workers https://claude.ai/code/session_01GGEDq3rjDELfBzhn9u5fTo
19 lines
374 B
JavaScript
Executable file
19 lines
374 B
JavaScript
Executable file
#!/usr/bin/env node
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/**
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* RuvBot CLI entry point
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*
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* Usage:
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* npx @ruvector/ruvbot init
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* npx @ruvector/ruvbot start
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* npx @ruvector/ruvbot config
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* npx @ruvector/ruvbot skills list
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* npx @ruvector/ruvbot status
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*/
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import { main } from '../dist/cli/index.mjs';
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main().catch((error) => {
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console.error('Error:', error.message);
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process.exit(1);
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});
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