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Alternatives

Products that do what DECUR does

A structured knowledge archive for UAP/NHI research

  1. 1
    Obsidian432

    A powerful knowledge base that works on local Markdown files

    2020

  2. 2AS
  3. 3
    Webhound364

    A research engine for your agent

    Jul 2026 · webhound.ai

  4. 4
    Docsify214

    A magical documentation site generator

    2017

  5. 5
    decube80

    Be the first to learn and act on data quality issues.

    2022

  6. 6

    Open source unstructured data ETL for AI first applications

    2024

  7. 7
    Slab 2.0194

    The knowledge base that democratizes knowledge

    2020

  8. 8
    Redential116

    A developer credential that proves what you built, NDA safe.

    Jul 2026 · redential.com

  9. 9

    Deep research that scales with your budget

    Jan 2026

  10. 10DA

    I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…

    2023 · github.com

  11. 11CA

    ChunkHound’s goal is simple: local-first codebase intelligence that helps you pull deep, core-dev-level insights on demand, generate always-up-to-date docs, and scale from small repos to enterprise monorepos — while staying free + open source and provider-agnostic (VoyageAI / OpenAI / Qwen3, Anthropic / OpenAI / Gemini / Grok, and more). I’d love your feedback — and if you have, thank you for being part of the journey!

    Jan 2026 · github.com

  12. 12

    Search, visualize and analyze spatial and unstructured data

    2022

  13. 13
    Marmot73

    AI-native data catalog with search, lineage and MCP

    Apr 2026 · marmotdata.io

  14. 14

    Audit AI search structure. Dry run fixes. Receipts.

    24d ago · aiogeoprotocol.com

  15. 15AS

    Hey HN! Y’all are great. It is so fun to build things these days. I wanna show off this archive that I conjured to run at home for consuming the recently releases of UFO files from the US government. This started as a Mac Mini-hosted project that I executed with my OpenClaw over Discord. After showing this to a few friends, I decided to get it online and find a catchy domain. Cloudflare was the perfect hosting choice. There’s a lot of bonkers things out there going on, so I added human curated “Signals” - news, analysis and discussion of UFO and adjacent news. The backlog of signals was…

    Jun 2026 · didyousee.xyz

  16. 16DS
  17. 17DD

    Hello friends, Today I'm sharing a little tool to help you explore GitHub repositories: • https://diggit.dev This project was admittedly a big dumb excuse to play with Elm and Claude Code. I published my design notes and all the chat transcripts here: • https://taylor.town/diggit-000 Please add bug reports and feature requests to the repo: • https://github.com/surprisetalk/diggit Enjoy!

    2025 · diggit.dev

  18. 18SR
  19. 19OS

    Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…

    2025

  20. 20MV

    I review PRs all day and I've basically stopped reading them. Someone opens a 2000-line PR, I scroll, see it's mostly AI-generated React components, leave a comment, merge. I felt bad about it until I realized everyone on my team does the same thing. The problem is diffs are the wrong format. A PR might change how three buttons behave. Staring at green and red lines to understand that is crazy. The core reason we built this is that we feel that products today are built with assumptions from the past. 100x code with the same review systems means 100x human attention. Human attention cannot…

    Feb 2026 · morphllm.com

  21. 21

    The AI research assistant that cites real sources honestly

    Jun 2026 · github.com

  22. 22FA
  23. 23AA
  24. 24MO

    Hey HN - we built Morphik MCP to solve a common problem: finding specific information across scattered technical docs. We've experimented with GraphRAG, ColPali, contextual embeddings, and more. MCP emerged as the solution that unifies these approaches. Features: - Multimodal search across text, diagrams, and videos - Natural language knowledge base management - Fully open-source with responsive support What sets MCP apart is its ability to return images (including diagrams) directly to the MCP client. Users have applied it to search over data ranging from blood tests to patents, and we use…

    2025 · docs.morphik.ai

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