SkillAgentSearch skills...

Vishnu

Open source alternative of Palantir Gotham 🌟 Star if you like it! 🌟'

Install / Use

claude mcp add ishandutta2007 -- npx -y github:ishandutta2007/Vishnu

If the server publishes to npm under a different name, use that package instead β€” check the repo README.

About this skill
πŸ”Œ

MCP Server

Model Context Protocol server

Quality Score

75/100

Supported Platforms

Claude Code
Claude Desktop

Tags

Our assessment of Vishnu

Vishnu scores 75/100 on our quality scale, 555th of 607 Data & Analytics skills we index.

Its MCP Server is 10 KB long, well organised into 19 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
17/20
Description
12/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so Vishnu is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 87/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit β€” read the skill file before letting an agent act on it.

Vishnu compared with similar skills

All 4 of these similar skills score higher than Vishnu; compare them before choosing.

SkillScoreStarsUpdatedFormat
Vishnu (this skill)by ishandutta20077531d agoMCP Server
Agent-Reachby Panniantong10096.5k4d agoCLAUDE.md
headroomby headroomlabs-ai10075.1ktodayCLAUDE.md
CowAgentby zhayujie10047.4ktodayCLAUDE.md
Scraplingby D4Vinci10087.0ktodayMCP Server

Frequently asked questions

How do I install Vishnu?
Run claude mcp add ishandutta2007 -- npx -y github:ishandutta2007/Vishnu. The install tabs above show the steps for each supported agent.
Which AI agents does Vishnu work with?
It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
Is Vishnu safe to use?
It is MIT-licensed and scores 87/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is Vishnu still maintained?
The repository was last updated yesterday, so Vishnu is actively maintained.
<p align="center"> <img src="assets/banner.svg" alt="Project Vishnu Banner" width="100%" /> </p>

πŸ”± Vishnu (openGotham) β€” Open Source Palantir Gotham Alternative

<p align="center"> <a href="https://github.com/ishandutta2007/Awesome-Awesome-Awesome"><img src="https://img.shields.io/badge/Awesome-%E2%9C%94-blueviolet?style=flat-square&logo=github" alt="Awesome"/></a> <a href="https://discord.gg/jc4xtF58Ve"><img src="https://img.shields.io/badge/Discord-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord" /></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-Apache_2.0-blue.svg" alt="License: Apache 2.0" /></a> <a href="CONTRIBUTING.md"><img src="https://img.shields.io/badge/PRs-welcome-brightgreen.svg" alt="PRs Welcome" /></a> <a href="#-roadmap--milestones"><img src="https://img.shields.io/badge/Status-Planning_%26_Architecture-orange.svg" alt="Status: Planning & Architecture" /></a> <a href="https://github.com/ishandutta2007"><img alt="GitHub followers" src="https://img.shields.io/github/followers/ishandutta2007?label=Follow" /></a> </p>

πŸš€ Vishnu is an open-source, enterprise-grade intelligence integration, operational analysis, decision platform, and defense analytics engine β€” designed as an open-source alternative to Palantir Gotham.


πŸ” Key Highlights & Keywords πŸ”‘

  • πŸ›‘οΈ Palantir Gotham Alternative / Open Source Palantir
  • πŸ›°οΈ Defense Intelligence & Operations Platform
  • 🧬 Dynamic Ontology & Data Fusion Engine
  • πŸ—ΊοΈ Geospatial-Temporal Tracking & GIS Mapping
  • πŸ•ΈοΈ Link Analysis & Interactive Graph Visualizer
  • πŸ€– AI Tactical Co-Pilot & Retrieval-Augmented Generation (RAG)
  • πŸ”’ Air-Gapped Enterprise Security (ABAC/RBAC)

πŸ“Œ Executive Summary πŸ“

Project Vishnu bridges the gap between fragmented data sources and tactical/strategic decision-making. Built for intelligence analysts πŸ•΅οΈβ€β™‚οΈ, defense operations πŸŽ–οΈ, law enforcement agencies πŸš”, 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 πŸ“₯, entity resolution 🧩, dynamic graph visualization πŸ“Š, geospatial-temporal tracking 🌐, real-time collaboration 🀝, and AI-assisted intelligence synthesis 🧠.


πŸ—οΈ System Architecture & High-Level Components πŸ“

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

πŸ”₯ Core Capabilities & Planned Features ✨

1. 🧬 Unified Dynamic Ontology & Data Fusion Engine

  • βš™οΈ 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.
  • πŸ“œ Data Provenance & Lineage: Immutable lineage tracking detailing exact origin, confidence scoring, and transformations for every data point.
  • πŸ” 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. πŸ•ΈοΈ Interactive Graph & Dossier Workspace (Link Analytics)

  • πŸ” Link Analysis Visualizer: High-performance visual canvas for investigating network connections, hidden relationships, and shortest path discovery.
  • πŸ“ 360-Degree Entity Dossiers: Unified profile views collating historical activities, associated assets, linked entities, communications, and media artifacts.
  • πŸ“ˆ Network Metrics & Pattern Detection: Centrality metrics (betweenness, closeness, eigenvector), community detection, and anomaly clustering.

3. πŸ—ΊοΈ 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.
  • πŸ›°οΈ 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

  • πŸ“… Chronological Event Stream: Multi-source event aggregation displayed in an interactive timeline view.
  • πŸ”„ 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. πŸ€– 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).
  • πŸ“‘ 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

  • πŸ–₯️ Real-Time Multi-User Canvas: Live co-investigation tools enabling analysts across locations to share graph states, map layers, and annotations simultaneously.
  • πŸ“¦ Evidence Management & Dossier Exporting: Export court-ready or command-ready intelligence packages, interactive HTML reports, and standardized PDF dossiers.
  • πŸ“‹ Operational Workflow Management: Task assignments, target package generation, approval chains, and audit logs.

πŸ› οΈ Open Source Technology Stack πŸ’»

| Category | Open-Source Technology Stack Options | | :--- | :--- | | Frontend / UI Canvas 🎨 | React, TypeScript, Cytoscape.js / G6, Mapbox GL JS / Deck.gl, Tailwind CSS | | Backend & Microservices βš™οΈ | Go / Python (FastAPI) / Rust, GraphQL, gRPC | | Graph Analytics Database πŸ•ΈοΈ | Neo4j, Apache Age, Memgraph | | Search & Indexing Engine πŸ” | OpenSearch, Elasticsearch | | Vector DB (AI & RAG) 🧠 | Qdrant, Milvus, pgvector | | Streaming & Data Storage πŸ’Ύ | Apache Kafka, ClickHouse, PostgreSQL, MinIO | | Orchestration & Infra 🐳 | Kubernetes, Helm, Apache Airflow |


πŸ›‘οΈ Enterprise Security & Defense Compliance πŸ”’

  • 🏷️ Multi-Level Classification Support: Granular data tagging to isolate sensitive intelligence based on clearance levels.
  • πŸ”‘ Zero Trust & SAML/OIDC Integration: Seamless integration with Keycloak, Okta, Active Directory, and PKI certs.
  • πŸ“‹ 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 🎯

  • πŸŽ–οΈ Defense & Intelligence Agencies: Operational picture aggregation, target package development, threat tracking, situational awareness.
  • πŸš” Law Enforcement & Counter-Terrorism: Gang network mapping, financial crime tracing (AML), cross-jurisdictional intelligence sharing.
  • πŸ›‘οΈ 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.

πŸ›£οΈ Roadmap & Milestones πŸ—ΊοΈ

  • [ ] 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 πŸ“₯
    • Batch/stream data ingestion pipelines
    • Rule-based Entity Resolution & Deduplication framework
  • [ ] Phase 3: Visual Analytics Core πŸ“Š
    • Dynamic graph link analysis canvas UI
    • 360-degree Dossier management UI
    • Geospatial map view integration (Deck.gl / Mapbox)
  • [ ] Phase 4: AI & Collaborative Suite πŸ€–
    • 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.


πŸ’– 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.
  • πŸ“’ Share it with fellow developers, researchers, and intelligence professionals.
  • β˜• 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! πŸ™


πŸ“ˆ Star History 🌟

Star History Chart


πŸ“œ License πŸ“„

Project Vishnu is released under the Apache 2.0 License.

Related Skills

View on GitHub
GitHub Stars3
CategoryData
Updated1d ago
Forks1

Languages

Python

Trust signals

87/100

From repository metadata: license, adoption, age and documentation. Not a code audit β€” see the Safety scan above for what the skill file itself contains.

2 low