02 VIDYĀ · Second Brain

Your Enterprise's Living Memory

Transform scattered enterprise knowledge into a living, learning intelligence — with graph reasoning, OpenClaw memory integration, and self-learning loops that grow smarter with every interaction.

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Knowledge Architecture

Intelligence That Never Forgets

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Auto-Ingestion

Automatically absorb knowledge from documents, conversations, emails, and meetings. Your intelligence grows with every interaction.

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Semantic Search

Find information by meaning, not just keywords. Ask questions in natural language and get contextually relevant answers.

⚖️

Trust Scoring

Every piece of information gets a trust score based on source reliability, freshness, and validation by your team.

Action Engine

Transform knowledge into action with self-learning rules. Automatically create tasks, trigger workflows, and auto-suppress low-approval actions through effectiveness scoring.

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Multi-Namespace

Separate knowledge domains for different teams, projects, or security levels. Control access while maintaining connectivity.

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Distributed Architecture

Knowledge graph backed by PostgreSQL + Apache AGE with HNSW vector indexing (200× speedup). Distributed across nodes with automatic sync, 39,000+ entities, and sub-second semantic retrieval.

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Self-Learning Intelligence

Autonomous learning engine with query effectiveness tracking and auto-pruning of stale entities. Trust scores evolve over time. The system improves its own retrieval accuracy through continuous feedback loops.

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Graph Reasoning

Multi-hop graph traversal discovers hidden connections across your knowledge. Hub detection, bridge analysis, cluster identification, and shortest-path reasoning between any entities.

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OpenClaw Memory Bridge

Bidirectional integration with OpenClaw agent memory. KG exports power agent context, while agent conversations auto-ingest back into the graph — a unified memory system.

📊

JÑĀNA Analytics

Real-time analytics dashboard with Intelligence Insights & Learning Metrics — query accuracy trends (86%→93%), response time optimization (295ms→144ms), per-endpoint P50/P95/P99 breakdowns, cache hit rates, and detected query patterns.

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Intelligence Patterns

Automatic detection of knowledge patterns — clusters, bridges, temporal trends, growth trajectories, knowledge gaps, and entity decay. 16 API endpoints power real-time intelligence dashboards.

Sub-100ms Performance

Embedding cache with response tracking delivers sub-100ms end-to-end queries. LRU caching for search, entity, and graph queries with async batch hit-count updates. Semantic search at 1.6ms, full-text at 0.9ms, graph at 6ms — with memory leak detection and performance monitoring built in.

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Self-Monitoring & Auto-Healing

Built-in watchdog with weekly health reports, embedding coverage monitoring, and auto-healing capabilities. Telegram alerts for anomalies, sync lag detection, and self-healing signals feed back into the KG as entities.

Ready to Build Your Second Brain?

Transform your enterprise knowledge into living intelligence that grows stronger over time.

Start Building Memory