Alternatives
Products that do what LLM chat history does
explore, sync, and search coding agent conversations
- 1
- 2
- 3
- 4
- 5
- 6CO
I keep running in the same problem of each AI app “remembers” me in its own silo. ChatGPT knows my project details, Cursor forgets them, Claude starts from zero… so I end up re-explaining myself dozens of times a day across these apps. The deeper problem 1. Not portable – context is vendor-locked; nothing travels across tools. 2. Not relational – most memory systems store only the latest fact (“sticky notes”) with no history or provenance. 3. Not yours – your AI memory is sensitive first-party data, yet you have no control over where it lives or how it’s queried. Demo video:…
2025 · github.com
- 7
- 8
- 9
- 10
The memory layer your AI coding tools forgot to build
May 2026 · marketplace.visualstudio.com
- 11LL
Author here. I wanted to keep my conversation with #Gemini about code handy while discussing something creative with #ChatGPT and using #DeepSeek in another window. I think it's a waste to have Electron apps and so wanted to chat with LLMs on my own terms. When I discovered the llm CLI tool I really wanted to have convenient and pretty looking access to my conversations, and so I wrote gtk-llm-chat - a plugin for llm that provides an applet and a simple window to interact with LLM models. Make sure you've configure llm first (https://llm.datasette.io/en/stable/) I'd…
2025 · github.com
- 12
Captures and stores your chat from various AI platforms
Mar 2026 · ai-memory-beta.vercel.app
- 13
- 14
- 15RA
Hey HN! I built Retain as the evolution of claude-reflect (github.com/BayramAnnakov/claude-reflect). The original problem: I use Claude Code/Codex daily for coding, plus claude.ai and ChatGPT occasionally. Every conversation contains decisions, corrections, and patterns I forget existed weeks later. I kept re-explaining the same preferences. claude-reflect was a CLI tool that extracted learnings from Claude Code sessions. Retain takes this further with a native macOS app that: - Aggregates conversations from Claude Code, claude.ai, ChatGPT, and Codex CLI - Instant full-text…
Jan 2026 · github.com
- 16IB
I'm lost between ChatGPT vs Claude vs Gemini... which subscriptions to take? With Cursor and all these specific AI tools, I just wanted one simple chat app where I can use any model and pay only when I use it. Couldn't find one, so I built one. Pay only for what you use. Your prompts and docs, knowledge bases work with every model - no more copy-pasting between apps. Started as a personal project, but thought someone else might benefit from this too. https://prismharmony.com/chat What do you think?
2025 · prismharmony.com
- 17
- 18OD
I’d like to use LLMs for remembering all kinds of things: fitness, to-do lists, contacts, bug reports, research links, whatever. But there is no way to do that now. For example, if I find a great coding tutorial in chat, or tell it how much I ran yesterday, it forgets that when I close the chat. Even if I keep the chat history, I still need to scour through lots of messages to find the data I want. Ideally, Claude would remember all this, and I’d be able to find it later with ease. This is what my team built. It is a collaborative database you add to any LLM that supports MCP. (Claude Code,…
2025 · dry.ai
- 19CA
Current AI chat assistants face a fundamental challenge: context management in long conversations. While current LLM apps use multiple separate conversations to bypass context limits, a truly human-like AI assistant should maintain a single, coherent conversation thread, making efficient context management critical. Although modern LLMs have longer contexts, they still suffer from the long-context problem (e.g. context rot problem) - reasoning ability decreases as context grows longer. Memory-based systems have been invented to alleviate the context rot problem, however, memory-based…
Nov 2025
- 20
- 21
- 22
VistaRae▲2Label, save, and find any past AI response in one click.
Apr 2026 · chromewebstore.google.com
- 23
- 24ZL
Zep is a long-term memory store designed for conversational AI applications built using modern LLMs. It handles the storage, summarization, embedding, indexing, and enrichment of chat histories, and offers developers a simple, low-latency API to this data. Chat history storage is an infrastructure challenge all developers and enterprises face as they look to move from prototypes to deploying conversational AI applications that provide rich and intimate experiences to users. Key features include long-term memory persistence, auto-summarization, vector search, auto-token counting, and Python…
2023
Ranked by how close each launch is in meaning, then by votes. Refine with a description →