nowfound

Alternatives

Products that do what VectorOps Know does

VectorOps Know is an extensible code-intelligence helper library. It scans your repository, builds a language-aware graph of files / packages / symbols and exposes high-level tooling for search, summarisation, ranking and graph analysis to LLMs.

  1. 1

    No-code LLM application builder

    2023

  2. 2
    Vectorize246

    Build RAG pipelines that are optimized for your data.

    2024

  3. 3

    Plan-first AI coding for real codebases

    Oct 2025

  4. 4
    Svelvet79

    A Svelte component library for building flow diagrams

    2022

  5. 5

    Procedural vector graphics designer

    2019

  6. 6
    Vector87

    AI PM Agent for instant PRDs & user stories after meetings

    Sep 2025

  7. 7

    Get web data behind clicks, searches, user interactions

    Dec 2025

  8. 8

    The portable vector database for AI agents beyond the cloud

    Apr 2026

  9. 9

    AI code snippet manager to streamline your workflow

    2023

  10. 10
    Specfy155

    Open source stack intelligence platform

    2023

  11. 11

    Serverless vector database for AI and LLMs

    2024

  12. 12
    Vector117

    Intelligent search for macOS

    Dec 2025

  13. 13

    Organize your code snippets in Notion

    2023

  14. 14

    The missing toolbox for Adobe Illustrator.

    2018

  15. 15CU
  16. 16

    From the creators of Milvus, the vector database trailblazer

    2024

  17. 17
    Sleuth89

    Devops for remote teams

    2020

  18. 18GV
  19. 19ZE
  20. 20VA

    Hey HN, At Mintplex Labs are building developer tools for AI applications. One area we encountered frustration was the use of Vector Databases like Pinecone, Chroma, QDrant, or Weaviate to "unlock" long-term memory and contextual answers. It is nearly impossible to manage this data when in use for production. The craziest thing was how you cannot atomically CRUD any vectors in most of these vector databases. Let alone easily copy, clone, or migrate data or entire indexes without paying for re-embedding - among other things. With VectorAdmin you get a database level UI with the ability to…

    2023 · vectoradmin.com

  21. 21DV

    docustore's aim is to provide up-to-date, off-the shelf and plug-and-play context for LLMs from a curated list of frameworks/sdks. It has a 4 step pipeline: scrape the documentation - clean it - vectorize it - package it. My vision is to host it somewhere and develop an API/MCP around it so it will be development-environment agnostic.

    2025 · github.com

  22. 22TA

    Hey everyone! We've built Traycer, a tool that transforms your GitHub issues—everything from descriptions and attached images to ongoing conversations—into clear, actionable implementation plans. You can easily import these plans into your IDE with our extension or use them with any other coding assistant you prefer. We'd love to hear your thoughts and feedback. Traycer is totally free for open-source projects, and we've got a 2-week free trial if you're working with private repos. Give it a try and let us know what you think!

    2025 · traycer.ai

  23. 23TF

    Hello! I'm working on building out graph-based tools for humans! Our first offering is a public tracker view, similar to the tracker provided by pizza companies in the US! The goal is to enable companies to reduce status emails and build brand trust! TurboOps are built on "workflows" which are just DAGs. We have a lot more plan but are focused on makers right now! It's free to get started and to try it out, and build public graphs! I'd really appreciate your thoughts, impressions, and/or criticisms. Thank you! [email protected]

    Jan 2026 · turboops.io

  24. 24AM

    I built an open-source AIOps MCP (Monitoring & Control Plane) that detects anomalies in logs using Isolation Forest. It accepts logs from agents, apps, or collectors, parses and extracts features, and identifies unusual patterns in real time. Alerts can be sent to Slack, Webhooks, or PagerDuty. It’s lightweight, easy to deploy with Kubernetes & Helm, and designed to plug into existing observability stacks. I built this to experiment with combining ML-based anomaly detection and flexible alerting for DevOps/SRE teams. Most AIOps platforms are either too heavyweight or closed-source — I…

    2025 · github.com

Ranked by how close each launch is in meaning, then by votes. Refine with a description →