Is anyone else tired of re-explaining who you are every time you switch between GPT, Claude, Cursor, etc.?

Discussions
1

I’ve been using multiple AI tools daily: ChatGPT for writing, Claude for analysis, Cursor for coding, DeepSeek for research.

The friction that’s starting to drive me crazy is that every time I switch to a different AI, I have to re-introduce myself:

  • What I do

  • My current project goals

  • My writing style preferences

  • What kind of replies I hate (e.g., no fluff, no over-explaining basics)

And worse: I might have already discussed a direction with AI A and decided it’s a dead end – but AI B has no memory of that, so I might waste time re-exploring the same dead end.

This information belongs to me, not to any single AI provider. It feels like my own “AI identity” is locked inside each platform.

I’m not here to promote anything – genuinely curious: Does this bother you as well?
If you’ve felt this pain, have you found any workarounds?

(If enough people share this pain, I might consider building an open‑source side project to solve it for myself – but first I want to know if I’m alone in this.)

Appreciate any thoughts.

3

Check out memory-journal-mcp. You control your own data:

I’ve been building an MCP called Memory Journal and it’s what I use for my own projects.

I originally started it because I was frustrated with AI constantly losing context between conversations. Most memory MCPs I tried felt more like searchable note databases, which is useful, but I wanted something that could help an agent understand the current state of a project, why decisions were made, what was tried before, and what still needed attention.

Over time it evolved into a larger project intelligence system with things like semantic search, session handoffs, project briefings, GitHub integration, knowledge graphs, team collaboration features Like Hush, and a secure Code Mode for token-efficient multi-step operations.

One thing I recently added is importance-based auto-pruning. Long-running memory systems have a tendency to accumulate a lot of low-value information over time, so Memory Journal can automatically identify and remove older, low-significance entries while preserving important architectural decisions, milestones, and other high-value context. The goal is to keep memory useful rather than simply making it larger.

The feature I personally rely on most is the customizable session summary/briefing system. When a new AI session starts, it can quickly load a concise summary of project state instead of me having to reconstruct context from previous chats.

It’s open source and still evolving, but it’s been a huge productivity boost for my own development workflow. I am working on v8.1.0 as we speak.

Sample session briefing confirmation:

:clipboard: Briefing loaded — memory-journal-mcp

:warning: 1 active flag(s) — review before proceeding. :triangular_flag: fyi → @chris: flag:fyi — @chris: This is a test flag to verify the Hush Protocol and briefing delivery system.

Context Details
GitHub neverinfamous/memory-journal-mcp
main · Git: Clean
:white_check_mark: CodeQL
Tracking Issues: 0 open
PRs: 1 merged
MS: Hush (v7.0.0) (100% :white_check_mark:)
Journal 207 entries · Team: 34
Latest: #434 (personal_reflection): CodeMode search marker XYZ789
Summary: #82 (retrospective): ## Session Summary: Error Matrix & Zod Sweeps (Phase 29) ### Accomplished - Executed the comprehensive Phase 29 Error…
System v8.0.1 · 0 resources · 19 prompts
79 tools (filter: codemode (1/79) (100KB cap) — use mj.* API)
:bar_chart: memory://metrics/summary
Tests: 1782+391 E2E (91%) · Lint & Typecheck: :white_check_mark:
:page_facing_up: GEMINI.md (6 KB) · :brain: 58 skills
:clipboard: code-map (test-server/code-map.md) · :hammer_and_wrench: tools (test-server/tool-reference.md)
:three_o_clock: 2026-06-01 06:58 EDT
Config mode: readonly · level: standard
team: yes · github: yes
IO: 2 roots · registry: adamic, adamic-blog, db-mcp +3
Insights :star: 17 · :fork_and_knife: 7 · :package: 23794 · :eye: 143 (14d)
Copilot: 2 reviewed · 0 approved
:chart_increasing: -100% vs. last period (0 entries)
Graph 19 relationships
Top: blocked_by: 2, resolved: 3, caused: 2 (view: memory://graph/recent)
Unreleased (1d) 7 added · 3 fixed
Workspaces adamic: C:\Users\chris\Desktop\adamic
adamic-blog: C:\Users\chris\Desktop\adamic-blog
db-mcp: C:\Users\chris\Desktop\db-mcp
memory-journal-mcp: C:\Users\chris\Desktop\memory-journal-mcp (active)
mysql-mcp: C:\Users\chris\Desktop\mysql-mcp
postgres-mcp: C:\Users\chris\Desktop\postgres-mcp

https://github.com/neverinfamous/memory-journal-mcp

https://hub.docker.com/repository/docker/writenotenow/memory-journal-mcp/general

6

Hey, that’s a familiar pain point, it comes up pretty regularly. There’s a fresh thread exactly about this where users share approaches, take a look: How are people handling context across different AI coding tools?

If we’re talking about Cursor specifically, part of your list who you are, response style, what you hate, project goals can be moved out of your head into:

  • User Rules: personal preferences that apply to all projects. This is where things like no fluff, no over explaining basics, and your style live.
  • AGENTS.md / Project Rules in .cursor/rules: project specific context like architecture, agreed decisions, what you’ve already tried and rejected. You can keep it right in the repo so it’s versioned and doesn’t get lost between sessions. Docs: Rules | Cursor Docs

Since the rules live in files inside the project, it’s easy to reuse them outside Cursor too, it’s your data and not tied to any one provider.

For more “live” memory across sessions, the community often hooks up MCP servers for persistent memory. See examples in these threads: Recall — open MCP memory pattern that survives across Cursor sessions and Persistent memory for Cursor that survives every session — .brain/ folder approach. The approaches vary, you can borrow ideas for your case.

So no, you’re not the only one with this pain. If you decide to build an open source project, share it, users here like discussing that.

11

I’m aware of ‘guidelines-selfpromotion’ rules here on the forum, but I want to jump in here, because this is exactly what we’re building (and solving) with Create State . Context seamlessly maintained across sessions, both within the same AI assistant and across AI assistants. We’re fully integrated with Cursor via a plugin in the Cursor Directory

I founded and built Create State to solve exactly the problems you’ve described, because I was getting really frustrated with hacks like carrying around .md files between sessions. Would love to talk about what we’re building, have you try us out and hear your feedback (we have free and paid tiers).

(@deanrie , hopefully this is topical and useful enough to fit inside forum guidelines)

13

@neverinfamous , also really interesting to see how others are tackling this problem!

14

For sure. I wish I had time to keep my vision on the other options to memory-journal-mcp but I am slammed. I’ve also felt for a long time that memory-journal-mcp and the like have an obsolete date coming. I figure the models and IDEs will “solve” the problem any time. And they have made progress. Antigravity, in particular, has a pretty nice system (brain). So, I have been working on memory-journal-mcp with hesitation really. Yet I keep working on it…

15

@rsb thanks for asking directly, that’s the right approach.

Short version: everything is fine in this thread. The OP explicitly asked for tool suggestions and workarounds, you were upfront about the free and paid tiers, and the post is relevant to the topic. This is exactly the kind of case where self-promotion fits the guidelines.

A couple of pointers for the future to stay within the rules, same applies to @neverinfamous:

  • For posts that are mainly about your own project, the best place is the Showcase category: Showcase - Cursor - Community Forum
  • In someone else’s thread, lead with a helpful, on-topic answer, and share your product link as one option, not the main message.
  • Contribute first. The more you join discussions and help other users, the more positively users react when you share something you built.

Full rules are here: Cursor Community Forum Guidelines in the Self-Promotion section. So yes, this thread is fine, keep doing what you’re doing.

16

AI User Pain Point Survey | AI 用户痛点调研

Purpose / 目的: Understand the most frustrating problems AI users encounter, and explore willingness to pay for solutions.
了解AI用户最常遇到的痛点，并探索他们为解决方案付费的意愿。

Section 1: AI Usage / 使用情况

  1. How many AI tools do you use regularly per week?
    你每周会使用多少个AI工具？

  2. Which AI tools do you use most frequently?
    你最常用的AI工具是哪些？

Section 2: Pain Points / 痛点

  1. What is your most frustrating experience when using AI tools?
    使用AI工具时，最让你烦恼的事情是什么？

  2. In the past week, which AI-related task wasted the most of your time?
    在过去一周，哪类AI相关的任务最耗费你的时间？

  3. If there were a feature that could solve your top frustration, what would it be?
    如果有一个功能可以解决你最头疼的问题，会是什么样的？

Section 3: Willingness to Pay / 付费意愿

  1. How much would you be willing to pay per month to solve your top AI frustration?
    为了解决你最头疼的AI问题，你每月愿意支付多少费用？

  2. Would you prefer a one-time payment or subscription model?
    你更倾向一次性付款还是订阅模式？

Section 4: Optional Feedback / 额外反馈（可选）

  1. Any other thoughts about using multiple AI tools or features you wish existed?
    关于使用多个AI工具，或者你希望存在的功能，有其他想法吗？

:light_bulb: Instructions / 使用说明:

  • Please answer honestly; there are no right or wrong answers.
    请如实回答，没有对错。

  • You can leave questions blank if not applicable.
    不适用的问题可以留空。

18

Noted. I don’t do any marketing of any of my work anywhere. I offer that as slight evidence that I wasn’t self-promoting, just trying to help people. It’s free stuff, also. But, I totally get it. I had a funny joke about it but my sense of humor is dry and sarcastic. I’m thinking people wouldn’t get my meaning so I’ll hold it. Maybe I am getting wiser with age. Laugh for me anyway. :wink:

19

@neverinfamous , as I used to say to my nephew, “I’m not laughing at you, I’m laughing with you!” (that was always good for a laugh). Hearing about what other people are working on is part of what makes being on the forum so interesting.

I wish you well with memory-journal-mcp, which looks like a nice project!

20

我看到你在做memory-journal-mcp，我也在思考类似的问题。你的MCP主要解决什么场景？有没有考虑过跨平台的身份层？

21

The primary problem I’m trying to solve is AI context loss in long-running projects. Most memory MCPs focus on storing and retrieving notes. Memory Journal is designed more as a persistent project intelligence layer. It helps AI maintain continuity across sessions by tracking decisions, implementation history, milestones, relationships, GitHub activity, and other project context, then surfacing the most relevant information through search and project briefings.

The scenarios I primarily use it for are:

  • Long-running software projects where AI is involved over weeks or months

  • Session handoffs between conversations or different AI agents

  • Capturing architectural decisions and project history

  • GitHub-centric development workflows

  • Team collaboration between developers and AI agents

  • Keeping memory useful over time through importance-based auto-pruning

Regarding the identity layer, I like the idea of a lightweight alias system that can map identities such as “Chris”, “Christopher”, and “neverinfamous” to a single canonical identity for better attribution and analytics. That’s now on the roadmap for the next version (or two):

## Prioritized Roadmap

### :red_circle: Tier 1 — High Impact, Feasible

| # | Item | Category | Effort |

| — | ---------------------------------------------------- | ---------- | ------ |

| 1 | ~~Cursor-based pagination~~ (Completed) | Database | M |

| 2 | ~~Soft-delete recovery (restore_entry)~~ (Completed) | Database | S |

| 3 | Auto-prune dry-run mode | Auto-Prune | S |

| 4 | Prune exclusion rules (tags / pin) | Auto-Prune | S |

| 5 | ~~Entry archiving state~~ (Completed) | Database | M |

| 6 | ~~Composite & partial indexes~~ (Completed) | Database | S |

| 7 | ~~GitHub rate limit resource~~ (Completed) | GitHub | S |

| 8 | ~~Search result highlighting (FTS5)~~ (Completed) | Search | S |

### :yellow_circle: Tier 2 — Medium Impact

| # | Item | Category | Effort |

| — | ------------------------------------------------------- | ------------- | ------ |

| 9 | ~~Entry versioning / history~~ (Completed) | Database | L |

| 10 | ~~Bulk create/delete operations~~ (Completed) | Database | M |

| 11 | ~~Faceted search results~~ (Completed) | Search | M |

| 12 | ~~Swappable embedding model~~ (Completed) | Vector | M |

| 13 | Latency percentiles (p50/p95/p99) | Observability | M |

| 14 | Prometheus metrics export | Observability | M |

| 15 | Config file support (YAML) | Configuration | M |

| 16 | Audit log query interface | Observability | M |

| 17 | ~~Team RBAC (admin/member/viewer)~~ (Completed) | Team | L |

| 18 | ~~Optimistic locking (version field)~~ (Completed) | Team | M |

| 19 | Duplicate detection on create | Search | M |

| 20 | ~~MCP `resources/subscribe`~~ (Completed) | Team | L |

| 21 | ~~True phrase match support (FTS5 quotes)~~ (Completed) | Search | S |

### :green_circle: Tier 3

| # | Item | Category | Effort |

| — | ---------------------------------------------------- | ------------- | ------ |

| 22 | Entry templates | UX | M |

| 23 | Encryption at rest (SQLCipher) | Security | L |

| 24 | Tag hierarchy | Database | M |

| 25 | CSV export format | IO | S |

| 26 | Import from Obsidian/Notion | IO | L |

| 27 | Scheduled digest delivery | Observability | M |

| 28 | Visualization enhancements (timeline, exports, etc.) | UX | L |

| 29 | Level 2 Identity Layer (Author Aliases) | Team | M |

Additionally, I am constantly adding aliases and things to accommodate agent hallucinations for when it ignores the proper way of doing things and just guesses (in code mode). The guesses cause failed operations and waste a few tokens and time. It’s easy to accommodate these mistakes but somewhat hard to predict all the possible hallucinations. So, it is an ongoing process. Thanks for the interest!

22

this is the exact itch I built a tool to scratch, so fair warning, I’m biased (I’m the founder of Vilix). I’ll keep it useful rather than pitchy.

Your list is really two different problems, and the second one is the painful one. The first half (re-introducing what you do, your goals, your writing style, the replies you hate) is a preferences problem. The second half, where you already hit a dead end with one AI and a fresh one cheerfully walks you back into it, is a continuity problem. Most “memory” tools only solve the first.

The way I came at it: a set of standing rules that apply to every tool (literally things like “no fluff, don’t over-explain the basics”), plus automatic capture of what you actually worked on, so the next AI you open already knows the project and the paths you ruled out. It’s MCP-native, connect once and it rides along in Claude, Cursor, and ChatGPT. One honest caveat for your stack: DeepSeek’s chat app can’t take a custom MCP connector yet, so that’s the one tool in your list it won’t reach until they add it.

If you want to kick the tires, it’s at vilix.ai. Genuinely curious whether the “dead end doesn’t carry over” part is the bigger pain for you too, that’s the piece I hear about most.