TypeScript semantic-search

Open-source TypeScript projects categorized as semantic-search

Top 23 TypeScript semantic-search Projects

semantic-search
  1. claude-context

    Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

    Project mention: Beads – A memory upgrade for your coding agent | news.ycombinator.com | 2025-11-27

    Claude Code doesn't do anything with semantic search or embeddings out of the box. They use a simple grep tool instead.

    Neither does OpenAI's Codex CLI - you can confirm that by looking at the source code https://github.com/openai/codex

    Cursor and Windsurf both use semantic search via embeddings.

    You can get semantic search in Claude Code using this unofficial plugin: https://github.com/zilliztech/claude-context

  2. SaaSHub

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  3. databerry

    The no-code platform for building custom LLM Agents

  4. octocode

    MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturally across public & private repos based on your permissions | Transform any accessible codebase/s into AI-optimized knowledge on simple and complex flows | Find real implementations and live docs from anywhere

    Project mention: Octocode MCP – AI Researcher for Smart, Deep Multi-Repo Code Context | news.ycombinator.com | 2025-11-03
  5. askaitools-community-edition

    A cutting-edge search engine project tailored specifically for the AI product

  6. Ori-Mnemos

    Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

    Project mention: Introducing Recursive Memory Harness: RLM For Agentic Memory | dev.to | 2026-03-20
  7. mcp-local-rag

    Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

    Project mention: Building a Local RAG for Agentic Coding: From Fixed Chunks to Semantic Search with Keyword Boost | dev.to | 2026-01-06

    Code: github.com/shinpr/mcp-local-rag

  8. vector-storage

    Vector Storage is a vector database that enables semantic similarity searches on text documents in the browser's local storage. It uses OpenAI embeddings to convert documents into vectors and allows searching for similar documents based on cosine similarity.

  9. drqa

    How to create Question-Answering system combining Langchain and OpenAI (by mallahyari)

  10. coco-server

    🥥 Coco AI Server - Search, Connect, Collaborate, AI-powered Enterprise Search, all in one space.

  11. nycerebro

  12. prism-coder

    The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.

    Project mention: Show HN: Prism Coder – Qwen3.5-14B fine-tuned for MCP tool-routing decisions | news.ycombinator.com | 2026-05-20
  13. Semantic

    SemanticPDF: Drag, Drop, Semantic Search - SemanticPDF is a simple, privacy-focused application that makes it easy to upload a PDF file and perform a semantic search on contents. (by Bklieger)

  14. altor-vec

    Client-side vector search powered by HNSW. 54KB gzipped WASM. Sub-millisecond latency.

    Project mention: A 54KB client-side HNSW vector search engine in WASM | news.ycombinator.com | 2026-03-26
  15. h-codex

    A semantic code search tool for intelligent, cross-repo context retrieval.

    Project mention: Show HN: H‑codex update – Now supports Python and more file types | news.ycombinator.com | 2025-08-07
  16. ChatVault

    Privacy-first semantic search engine for WhatsApp. Runs 100% in-browser using Rust, WebAssembly, and BERT. Zero data egress. (by marcoshernanz)

    Project mention: ChatVault – Local-first semantic search for WhatsApp (Rust and WASM) | news.ycombinator.com | 2026-01-19
  17. mimirs

    Local MCP server that gives AI coding agents persistent, searchable memory of your codebase

    Project mention: Show HN: Mimirs – persistent local memory for AI coding agents (MCP) | news.ycombinator.com | 2026-06-11
  18. dim0

    An open-source AI thinking canvas - notes, docs, code, widgets, and an agent that works directly on the board.

    Project mention: dim0 alternatives - excalidraw, obsidian-releases, and AFFiNE | libhunt.com/r/dim0 | 2026-05-01
  19. codeseeker

    MCP server with semantic search + knowledge graph for Claude Code, Cursor, and Copilot

    Project mention: Show HN: CodeSeeker – Knowledge graph code intelligence for AI coding assistants | news.ycombinator.com | 2026-02-25

    ```

    Or without installing: `npx codeseeker init`

    First indexing takes 30 seconds to a few minutes depending on project size. After that, searches are instant. Also includes tools to find duplicate code blocks and detect dead code using the graph, some latest additions I found useful.

    I have been using it daily on my own projects and the improvement in AI assistant accuracy is significant.

    GitHub: https://github.com/jghiringhelli/codeseeker

  20. directory-indexer

    MCP Server for indexing your local directories into a knowledgebase for your AI Assistants.

    Project mention: Gemini Embedding: Powering RAG and context engineering | news.ycombinator.com | 2025-07-31

    I have been thinking around solving this problem. I think one of the reasons some AI assistants shine vs others is how they can reduce the amount of context the LLM needs to work with using in-built tools. I think there's room to democratize these capabilities. One such capability is allowing the LLMs to directly work with the embeddings.

    I wrote an MCP server directory-indexer[1] for this (self-hosted indexing mcp server). The goal being indexing any directories you want your AI to know about and gives the it MCP tools to search through the embeddings etc. While an agentic grep may be valuable, when working with tons of files with similar topics (like customer cases, technical docs), pre-processed embeddings have proven valuable for me. One reason I really like it is that it democratizes my data and documents: giving consistent results when working with different AI assistants - the alternative being vastly different results based on the in-built capabilities of the coding assistants. Another being having access to you "knowledge" from any project you're on. Though since this is selfhosted, I use nomic-embed-text for the embedding which has been sufficient for most use cases.

    [1] https://github.com/peteretelej/directory-indexer

  21. oc-mnemoria

    Persistent shared memory (hive mind) for OpenCode agents, powered by the mnemoria Rust engine

    Project mention: Show HN: Oc-mnemoria – Persistent memory for AI coding agents | news.ycombinator.com | 2026-03-02
  22. ghost

    Local AI session capture and semantic search for Claude Code. Records sessions as markdown, attaches them to commits via git notes, and indexes into QMD for warm resume and project memory. (by notkurt)

    Project mention: Show HN: Ghost – Session memory for Claude Code (local, qmd, Git-integrated) | news.ycombinator.com | 2026-02-13
NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source semantic-search projects in TypeScript? This list will help you:

# Project Stars
1 claude-context 11,828
2 databerry 2,958
3 octocode 863
4 askaitools-community-edition 358
5 Ori-Mnemos 310
6 mcp-local-rag 307
7 vector-storage 246
8 drqa 170
9 coco-server 143
10 nycerebro 134
11 prism-coder 132
12 bens-bites-ai-search 114
13 Semantic 80
14 react-search 69
15 altor-vec 48
16 h-codex 27
17 ChatVault 25
18 mimirs 19
19 dim0 18
20 codeseeker 18
21 directory-indexer 17
22 oc-mnemoria 13
23 ghost 11

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