Vishnu
БесплатноНе проверенOpen source alternative of Palantir Gotham 🌟 Star if you like it! 🌟'
Описание
Open source alternative of Palantir Gotham 🌟 Star if you like it! 🌟'
README
🔱 Vishnu (openGotham) — Open Source Palantir Gotham Alternative
🚀 Vishnu is an open-source, enterprise-grade intelligence integration, operational analysis, decision platform, and defense analytics engine — designed as an open-source alternative to Palantir Gotham.
🔍 Key Highlights & Keywords 🔑
- 🛡️ Palantir Gotham Alternative / Open Source Palantir
- 🛰️ Defense Intelligence & Operations Platform
- 🧬 Dynamic Ontology & Data Fusion Engine
- 🗺️ Geospatial-Temporal Tracking & GIS Mapping
- 🕸️ Link Analysis & Interactive Graph Visualizer
- 🤖 AI Tactical Co-Pilot & Retrieval-Augmented Generation (RAG)
- 🔒 Air-Gapped Enterprise Security (ABAC/RBAC)
📌 Executive Summary 📝
Project Vishnu bridges the gap between fragmented data sources and tactical/strategic decision-making. Built for intelligence analysts 🕵️♂️, defense operations 🎖️, law enforcement agencies 🚔, disaster response teams 🚨, and enterprise risk managers 🏢, Vishnu delivers a unified, ontology-driven operational picture.
By leveraging modern open-source software (OSS) infrastructure ⚡, Vishnu enables multi-source data ingestion 📥, entity resolution 🧩, dynamic graph visualization 📊, geospatial-temporal tracking 🌐, real-time collaboration 🤝, and AI-assisted intelligence synthesis 🧠.
🏗️ System Architecture & High-Level Components 📐
flowchart TD
subgraph Ingestion & Pipeline Layer
A[Data Connectors & Pipelines\nKafka / Spark / Airflow] --> B[Data Sanitation & ETL]
B --> C[Entity Resolution & Fusion Engine]
end
subgraph Core Engine Layer
C --> D[Dynamic Ontology & Object Store]
D --> E[Graph Database / Neo4j]
D --> F[Vector DB / Qdrant]
D --> G[Search & Analytics / OpenSearch]
end
subgraph Operational & Application Layer
E & F & G --> H[Vishnu Core API Gateway]
H --> I[Dossier & Graph Workspace]
H --> J[Geospatial Operational Map]
H --> K[Timeline & Event Correlation Engine]
H --> L[AI Tactical Co-Pilot / LLM Engine]
end
🔥 Core Capabilities & Planned Features ✨
1. 🧬 Unified Dynamic Ontology & Data Fusion Engine
- ⚙️ Flexible Schema Configuration: Custom definitions for Entities (Persons, Organizations, Vehicles, Locations, Objects), Relationships, and Events.
- 🧩 Automated Entity Resolution: Rule-based and machine-learning-driven record matching, deduplication, and identity resolution across heterogeneous data feeds.
- 📜 Data Provenance & Lineage: Immutable lineage tracking detailing exact origin, confidence scoring, and transformations for every data point.
- 🔐 Security & Fine-Grained Access Control (ABAC/RBAC): Object-level, property-level, and classification-based access policy controls (e.g., SECRET, TOP SECRET, Need-To-Know tags).
2. 🕸️ Interactive Graph & Dossier Workspace (Link Analytics)
- 🔍 Link Analysis Visualizer: High-performance visual canvas for investigating network connections, hidden relationships, and shortest path discovery.
- 📁 360-Degree Entity Dossiers: Unified profile views collating historical activities, associated assets, linked entities, communications, and media artifacts.
- 📈 Network Metrics & Pattern Detection: Centrality metrics (betweenness, closeness, eigenvector), community detection, and anomaly clustering.
3. 🗺️ Geospatial-Temporal Operational Map (GIS Workspace)
- 🌍 Multi-Layer GIS Integration: Native support for Vector tiles, Raster data, GeoTIFFs, WMS/WMTS standards, and satellite imagery feeds.
- 🛰️ Real-Time Asset Tracking: Low-latency streaming of telemetry data (AIS for maritime, ADS-B for aviation, GPS for ground units, IoT sensor feeds).
- 🚨 Geofencing & Spatial Alerting: Dynamic spatial boundaries triggering immediate notifications on unauthorized entry/exit or abnormal movements.
- ⏱️ Temporal Playback Controls: Time-scrubbing sliders to visually replay movements, troop deployments, or incident progressions over specific historical windows.
4. ⏳ Timeline & Event Correlation Engine
- 📅 Chronological Event Stream: Multi-source event aggregation displayed in an interactive timeline view.
- 🔄 Sequence & Pattern Matching: Automatic detection of recurring temporal patterns or pre-defined sequence indicators (e.g., suspicious financial transfers followed by travel events).
- 🌐 Cross-Spectrum Correlation: Simultaneous correlation of cyber telemetry, physical movements, and communications metadata.
5. 🤖 Tactical AI & Natural Language Co-Pilot
- 🧠 Retrieval-Augmented Generation (RAG): Natural language querying over structured ontology stores and unstructured document repositories (PDFs, intercepted logs, reports).
- 📑 Automated Briefing & Intelligence Synthesis: AI-generated executive summaries, tactical situation reports (SITREPs), and action plan recommendations.
- 🏷️ Entity Extraction & NLP: Automatic extraction of named entities (NER), sentiment, and event structures from unstructured text data in multiple languages.
6. 🤝 Collaborative Operations & Incident Room
- 🖥️ Real-Time Multi-User Canvas: Live co-investigation tools enabling analysts across locations to share graph states, map layers, and annotations simultaneously.
- 📦 Evidence Management & Dossier Exporting: Export court-ready or command-ready intelligence packages, interactive HTML reports, and standardized PDF dossiers.
- 📋 Operational Workflow Management: Task assignments, target package generation, approval chains, and audit logs.
🛠️ Open Source Technology Stack 💻
| Category | Open-Source Technology Stack Options |
|---|---|
| Frontend / UI Canvas 🎨 | React, TypeScript, Cytoscape.js / G6, Mapbox GL JS / Deck.gl, Tailwind CSS |
| Backend & Microservices ⚙️ | Go / Python (FastAPI) / Rust, GraphQL, gRPC |
| Graph Analytics Database 🕸️ | Neo4j, Apache Age, Memgraph |
| Search & Indexing Engine 🔍 | OpenSearch, Elasticsearch |
| Vector DB (AI & RAG) 🧠 | Qdrant, Milvus, pgvector |
| Streaming & Data Storage 💾 | Apache Kafka, ClickHouse, PostgreSQL, MinIO |
| Orchestration & Infra 🐳 | Kubernetes, Helm, Apache Airflow |
🛡️ Enterprise Security & Defense Compliance 🔒
- 🏷️ Multi-Level Classification Support: Granular data tagging to isolate sensitive intelligence based on clearance levels.
- 🔑 Zero Trust & SAML/OIDC Integration: Seamless integration with Keycloak, Okta, Active Directory, and PKI certs.
- 📋 Full Audit Logging: Comprehensive tamper-proof auditing of search queries, data views, downloads, and graph edits.
- 🌐 Air-Gapped Deployment Support: Native support for deployment in fully disconnected, air-gapped, and edge computing environments.
🎯 Target Use Cases 🎯
- 🎖️ Defense & Intelligence Agencies: Operational picture aggregation, target package development, threat tracking, situational awareness.
- 🚔 Law Enforcement & Counter-Terrorism: Gang network mapping, financial crime tracing (AML), cross-jurisdictional intelligence sharing.
- 🛡️ Cybersecurity & Threat Intelligence: Advanced persistent threat (APT) mapping, infrastructure attribution, SOC incident response correlation.
- 🚨 Crisis & Disaster Response: Resource deployment tracking, damage assessment mapping, multi-agency coordination during natural disasters.
- 🏦 Financial Crime & Enterprise Fraud: Complex fraud ring detection, supply chain vulnerability assessment, insider threat monitoring.
🛣️ Roadmap & Milestones 🗺️
- Phase 1: Core Foundation 🧱
- Project setup & architecture RFC
- Data model & dynamic ontology framework schema setup
- Basic GraphQL / REST backend API core
- Phase 2: Ingestion & Resolution 📥
- Batch/stream data ingestion pipelines
- Rule-based Entity Resolution & Deduplication framework
- Phase 3: Visual Analytics Core 📊
- Dynamic graph link analysis canvas UI
- 360-degree Dossier management UI
- Geospatial map view integration (Deck.gl / Mapbox)
- Phase 4: AI & Collaborative Suite 🤖
- LLM RAG engine integration over unstructured docs & ontology
- Real-time collaborative workspace (WebSocket/CRDT)
- Audit logging, RBAC/ABAC security layer completion
🤝 Contributing & Community 🌐
Contributions are warmly welcomed! Whether you are an intelligence specialist, software engineer, UI/UX designer, or security expert, you can help shape Vishnu into a premier open-source platform.
Please review our upcoming Contributing Guidelines before submitting Pull Requests.
💖 Support & Sponsorship 🌟
If you find this project ambitious, valuable, or interesting, please consider supporting its open-source development!
- ⭐ Star this repository to show your support and raise awareness!
- 🍴 Fork it to start contributing or building custom extensions.
- 📢 Share it with fellow developers, researchers, and intelligence professionals.
- ☕ Sponsor the developer by buying a coffee or sponsoring ongoing open-source work via the GitHub Sponsor Dashboard.
Thank you for being part of the open-source defense & operational analytics community! 🙏
📈 Star History 🌟
📜 License 📄
Project Vishnu is released under the Apache 2.0 License.
Установка Vishnu
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/ishandutta2007/VishnuFAQ
Vishnu MCP бесплатный?
Да, Vishnu MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Vishnu?
Нет, Vishnu работает без API-ключей и переменных окружения.
Vishnu — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Vishnu в Claude Desktop, Claude Code или Cursor?
Открой Vishnu на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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