Beever Atlas v0.1 has launched! Star us on GitHub

Changelog

v0.1.0 (April 2026) - Initial Open Source Release

Added

  • Dual Memory Architecture: Semantic memory (Weaviate) + knowledge graph (Neo4j)
  • 6-Stage Ingestion Pipeline: Sync → Extract → Validate → Store → Cluster → Wiki
  • Multi-Platform Support: Slack, Discord, Microsoft Teams adapters
  • MCP Server: Model Context Protocol for LLM tool integration
  • Wiki Generation: Auto-generated hierarchical wiki pages from conversations
  • Smart Query Router: LLM-powered routing between semantic, graph, and web search
  • Knowledge Graph: Entity extraction and relationship mapping with Neo4j
  • Web Dashboard: React-based UI with graph visualization (cytoscape.js)
  • Google ADK Agents: Orchestrated extraction, validation, and generation agents
  • Mock Mode: Zero-API-key development with fixture data
  • Docker Compose: Full stack deployment with one command
  • Multilingual Support: Language detection and cross-language memory
  • Observability: OpenTelemetry tracing, health checks, structured logging

Technical Details

  • Backend: Python/FastAPI with 16 API route groups
  • Bot: TypeScript with Vercel Chat SDK
  • Frontend: React 19 + TypeScript + Vite + shadcn/ui
  • Embeddings: Jina v4 (2048-dim, multimodal)
  • LLM: Gemini 2.0 Flash (primary), Claude via LiteLLM (fallback)

Documentation

  • Comprehensive getting started guides
  • Interactive tutorials for common workflows
  • In-depth concept documentation
  • API reference with examples
  • Integration guides for all platforms
  • Contributing guidelines and development setup

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