LLMnesia's answer

Most AI tools focus on creating new conversations. LLMnesia focuses on recovering the value already locked inside your existing conversations. It is lightweight, browser-based, privacy-conscious, and designed for people who use multiple AI platforms rather than just one. The goal is simple: stop repeating prompts, stop losing good answers, and make your AI history genuinely useful.

ContextForge.dev's answer:

Most memory tools are tied to a single agent or are just a key-value store. ContextForge is MCP-native, so it's portable across all your AI tools; it adds git sync so your codebase history becomes searchable context automatically; and it includes team features (shared spaces, collaborators) that solo-memory tools lack. Setup is one command, there's a genuine free-forever tier with no credit card, and paid plans start at just $9/month.

LLMnesia's answer

LLMnesia started from a real frustration: after using AI tools intensively, the useful answers, ideas, code snippets and decisions were scattered across different platforms and hard to find again. The product was built to solve that problem directly by making AI conversation history searchable, reusable and easier to manage. It grew from a personal need into a tool for anyone who depends on LLMs every day.

ContextForge.dev's answer:

ContextForge was born from a simple frustration: AI coding agents forget everything the moment a session ends. Every new conversation meant re-explaining the same architecture, naming conventions, and past decisions. ContextForge was built to give AI agents a permanent, searchable memory through the Model Context Protocol — so knowledge is captured once and reused forever, across sessions and projects. It even dogfoods its own memory to help build itself.

LLMnesia's answer

LLMnesia turns scattered AI chat history into a searchable personal knowledge base. Instead of losing useful answers across ChatGPT, Claude, Gemini and other LLM tools, it indexes your past conversations locally in a Chrome extension so you can search, revisit and reuse what you have already learned or created.

ContextForge.dev's answer:

ContextForge is memory that lives at the MCP layer, so it works across every AI coding agent at once — Claude Code, Cursor, GitHub Copilot, ChatGPT, and Windsurf — not just one. Save a decision once and any client recalls it later with semantic search. It goes beyond a note store: automatic git sync turns your commits and PRs into searchable knowledge, plus task tracking, snapshots, and team sharing — all through a single MCP server you add with one command.

LLMnesia's answer

LLMnesia is for heavy AI users who rely on LLMs for work, research, writing, coding, product building, learning or decision-making. The main audience includes founders, developers, researchers, writers, consultants, students and anyone who has valuable information buried across many AI chats.

ContextForge.dev's answer:

Software developers and engineering teams who use AI coding assistants — Claude Code, Cursor, GitHub Copilot, ChatGPT, Windsurf — and are tired of re-explaining their project, architecture, and conventions every session. It fits solo developers working across multiple projects as well as small teams that need shared, persistent context.

LLMnesia's answer

LLMnesia is built as a Chrome extension using modern web technologies, including JavaScript, browser extension APIs, local indexing and search, and integrations with major LLM web platforms. The wider product ecosystem also uses Next.js, TypeScript and Supabase for supporting web and analytics tooling.

ContextForge.dev's answer:

Next.js 16 (App Router), React and Tailwind CSS for the dashboard, hosted on Vercel. Supabase (PostgreSQL) with pgvector powers the semantic vector search, and Deno edge functions serve the API. Embeddings use OpenAI text-embedding-3-small. The MCP client is a Node.js package (contextforge-mcp) on npm, implementing the Model Context Protocol.

LLMnesia's answer

LLMnesia is still an early-stage product, so there are no major public enterprise customers to list yet. Current users are individual AI power users, builders, developers, researchers and founders.