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Alternatives

Products that do what Context-Engine does

Self-hosted MCP retrieval + memory for coding agents

  1. 1

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io

  2. 2

    Memory for your AI Tools

    2025

  3. 3

    Reusable AI Memory for Smarter Prompts Anywhere

    Nov 2025

  4. 4

    An OKF-backed Model Context Protocol (MCP) server delivering persistent long-term memory and SQLite FTS5 search for AI agents. - fellowgeek/mcp-memory

    25d ago · github.com

  5. 5

    Portable memory for agent workflows

    Apr 2026 · x.com

  6. 6

    Turn your work into AI agent memory, served over MCP

    May 2026 · contextberg.com

  7. 7

    Automate assembling the perfect context for your project

    Jan 2026 · repoprompt.com

  8. 8

    Persistent AI memory across Claude Desktop & Cursor IDE

    Oct 2025

  9. 9
    Spydr139

    Github for LLM context. One memory, infinite possibilities.

    2025

  10. 10
    Keen Code125

    A context-efficient CLI coding agent built by agents

    Jun 2026 · mochow13.github.io

  11. 11

    Agent-ready web context for any MCP client.

    Aug 2026 · docs.firecrawl.dev

  12. 12MA

    Hey HN, I spent my xmas break building an agent framework called mcp-agent [1](https://github.com/lastmile-ai/mcp-agent) for Model Context Protocol [2]. It makes it easy to build AI apps with MCP servers, and implements every pattern from the popular Building Effective Agents blog [3] as well as OpenAI’s Swarm [4]. I’m sharing it early to get community feedback on where to take it from here, and to ask for contributions. For those who aren’t familiar with MCP, I think of it as a standardized interface to let AI communicate with software via tool calls, resources and…

    2025 · github.com

  13. 13

    The structured context layer for AI agents. Build self-learning specialised agents that are context aware. - DrDroidLab/open-index

    20d ago · github.com

  14. 14AW

    I've been presenting at local meetups about Context Engineering, RAG, Skills, etc.. I even have a vbrownbag coming up on LinkedIn about this topic so I figured I would make a basic example that uses bedrock so I can use it in my talks or vbrownbags. Hopefully it's useful.

    Apr 2026 · github.com

  15. 15

    Smarter RAG with Agentic Retrieval & Context-Aware MCP

    Sep 2025

  16. 16

    Engineering signal for AI-assisted teams

    Jun 2026 · context-mode.com

  17. 17HM

    Hi HN! Excited to share our MCP Server at Hyperbrowser - something we’ve been working on for a few days. We think it’s a pretty neat way to connect LLMs and IDEs like Cursor / Windsurf to the internet. Our MCP server exposes seven tools for data collection and browsing: 1. `scrape_webpage` - Extract formatted (markdown, screenshot etc) content from any webpage 2. `crawl_webpages` - Navigate through multiple linked pages and extract LLM-friendly formatted content 3. `extract_structured_data` - Convert messy HTML into structured JSON 4. `search_with_bing` - Query the web and get results…

    2025 · github.com

  18. 18AM

    Hey HN! One of the biggest limitations of tools like Cursor is that they only have context over the project you have open. We built this MCP to allow you to fetch code context from all of your repos. It uses Sourcebot under the hood, an open source code search tool that supports indexing thousands of repos from multiple platforms. The MCP server leverages Sourcebot's index to rapidly fetch relevant code snippets and inject it into your agents context. Some use cases this unlocks include: - Finding all references of an API across your companies repos to allow the agent to provide accurate…

    2025 · github.com

  19. 19
    Vexp14

    Local-first context engine for AI coding agents

    Mar 2026 · vexp.dev

  20. 20

    The context layer for AI agents

    Oct 2025

  21. 21OS

    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

  22. 22

    AI-driven context engine for engineering teams

    May 2026 · contextbeat.com

  23. 23

    Run Lanes Link as your own personal context MCP: your accounts, memory, skills and secrets behind one endpoint you host, reachable by every AI agent you use.

    2d ago · lanes.sh

  24. 24

    How it works: - Storage uses one SQLite database file, plus a local LanceDB index of vectors. No need for a server, cloud services, or any API keys. - Retrieval is a hybrid approach using BM25 (rank-bm25) and vector-based search (sentence-transformers) combined with a co-occurrence graph of entities, using reciprocal rank fusion. The idea is to find the right memory, not the closest one. - It plugs into the agent's lifecycle via MCP: before the agent responds, relevant memories are added to its input; after each turn, decisions and new learnings are automatically recorded. No need to…

    Jun 2026 · github.com

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