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Dev tools · alternatives · 2026

24 alternatives to Cursor Memories

Memory system for Cursor agents

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

    Our first coding model and new interface for agents

    Oct 2025 · cursor.com · its alternatives →

  2. 2

    Build with coding agents from anywhere

    Jun 2026 · apps.apple.com · its alternatives →

  3. 3

    Work with a powerful coding assistant anywhere

    2025 · its alternatives →

  4. 4

    Open Source dashboard and analytics for Cursor IDE

    2024 · its alternatives →

  5. 5

    Generate, edit, lint & test your API workflow in one place

    2025 · app.getelva.ai · its alternatives →

  6. 6
    cognee▲382

    Memory for AI Agents in 5 lines of code

    2025 · cognee.ai · its alternatives →

  7. 7CI

    Hi, I'm Daniel from Zep. I've integrated the Cursor IDE with Graphiti, our open-source temporal knowledge graph framework, to provide Cursor with persistent memory across sessions. The goal was simple: help Cursor remember your coding preferences, standards, and project specs, so you don't have to constantly remind it. Before this integration, Cursor (an AI-assisted IDE many of us already use daily) lacked a robust way to persist user context. To solve this, I used Graphiti’s Model Context Protocol (MCP) server, which allows structured data exchange between the IDE and Graphiti's temporal…

    2025 · its alternatives →

  8. 8

    Auto-install relevant Cursor rules with one simple command

    2025 · pypi.org · its alternatives →

  9. 9

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  10. 10CA

    While Cursor has already revolutionized coding, you can still configure it to perform even better based on your language and framework. That's why we created Cursor Directory, a collection of the best cursor rules for your framework and language from the community. It's fully open source and you can contribute to it by submitting your own rules. Just copy and add a .cursorrules file to your project root! Let me know what you think!

    2024 · cursor.directory · its alternatives →

  11. 11
    Memori▲168

    Persistent memory from agent trace, not just conversation

    May 2026 · memorilabs.ai · its alternatives →

  12. 12

    One layer for memories, skills, and rules across any agent

    Feb 2026 · memories.sh · its alternatives →

  13. 13

    Learn advanced Cursor techniques step-by-step

    2025 · enlightby.ai · its alternatives →

  14. 14

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

    Aug 2026 · github.com · its alternatives →

  15. 15AM

    Hey HN, I'm Namanyay and I've been using Cursor since 2 years, but it seems to make mistakes as the project size grows. This caused me to have to repeat myself a lot and it used to break my flow. I realized it's because Cursor (and other AI tools) are not able to keep an overview of the project. Plus, Cursor does not have a "memory" layer to remember important things that the user has already mentioned. I solved this by building an open-source MCP which maintains project and memory information within the user's file system. It's simple and installation takes 30 seconds. Github:…

    2025 · its alternatives →

  16. 16

    Cursor Directory is designed to generate cursor rules by AI.

    2025 · its alternatives →

  17. 17

    Open-source MCP server. #5 on LoCoMo. 100% local. MIT.

    May 2026 · totalmemory.dev · its alternatives →

  18. 18

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io · its alternatives →

  19. 19

    Never lose a link again

    2025 · wellgrounded.us · its alternatives →

  20. 20

    Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions. We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action. Current LLMs are stateless…

    2025 · github.com · its alternatives →

  21. 21

    I built Gemini Cursor, an open-source multimodal AI cursor that guides users through tasks on their desktop by pointing and speaking. It leverages Gemini 2.0 Flash and Google's live multimodal API to analyze what's on screen and provide real-time assistance. In this demo, my friend tries to add a payment method to Amazon, and the AI cursor walks them through the entire process with visual cues and spoken instructions. I've also used it to interpret diagrams from research papers—curious to see what other use cases people find this useful for! Demo:…

    2025 · github.com · its alternatives →

  22. 22

    Turn your Cursor AI agents into tiny pixel characters who live in a cozy cafe, reacting, assisting, and keeping you company while you work. - wunderlabs-dev/cursouls

    Mar 2026 · github.com · its alternatives →

  23. 23

    Cursor published a great post last week on scaling long-running autonomous coding agents to build a browser. We’ve been exploring a similar idea, but applied to math proofs We show how a swarm of agents, coordinated via shared memory, can generate a Lean proof for a non-trivial multi-step math problem-Putnan A2-that a single agent struggled with. We were feeling fancy so we wrote a full post and captured the runtime. Harness will be public soon(tm) for you to run it yourself.

    Mar 2026 · ensue.dev · its alternatives →

  24. 24MC

    Hi HN, I’ve been building AI agents and copilots, and kept running into a frustrating problem: they don’t fail loudly, they forget things quietly. Users re-explain preferences, agents contradict earlier responses, and context resets without any clear visibility into why. I built Memograph CLI as a debugging tool to analyze conversation transcripts and show: - what the agent forgot - where continuity broke - contradictions and repeated context - estimated token waste due to re-prompting It works locally and supports plain text or JSON transcripts. Example: $ memograph Output: Cognitive Drift…

    Feb 2026 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →