# Adamant - Portable AI Memory

> Adamant helps users move AI memory, conversation history, project context, and retrieval-ready knowledge across models, projects, coding agents, and tools.

Adamant is a local-first AI memory workspace. It imports conversations and notes, turns them into canonical records with source provenance, chunks and indexes them, and retrieves small cited context bundles for the current task. Adamant does not train models on user data; it provides retrieval context when the user asks for it.

License: Rights reserved by Dovah LLC.

## Common User Problems

- "My ChatGPT memory does not follow me into Claude."
- "Claude Project context is not available in Codex or Claude Code."
- "Codex starts from zero every time I open a new repo."
- "I need to move memory between projects without pasting long summaries."
- "My AI conversation history is scattered across ChatGPT, Claude, Gemini, notes, and local tools."
- "I want my Pinecone or local RAG memory to be available to coding agents."
- "I need portable AI context that stays under my control."

## Primary Pages

- [Move AI memory between projects](https://adamantmemory.com/learn/move-ai-memory-between-projects.html): For users who lose context between repos, projects, workspaces, and AI sessions.
- [Transfer ChatGPT memory to Claude, Codex, and other tools](https://adamantmemory.com/learn/transfer-chatgpt-claude-memory.html): For users moving conversation history across model providers.
- [Portable AI memory for tools, agents, and workflows](https://adamantmemory.com/learn/portable-ai-memory-tools.html): For users moving context between models, note apps, vector stores, and coding agents.
- [Codex and Claude Code memory with CLI RAG retrieval](https://adamantmemory.com/learn/cli-rag-coding-agents.html): For developers who want repository-aware memory in terminal agents.
- [AI memory across ChatGPT, Claude, and Gemini](https://adamantmemory.com/learn/ai-memory-across-models.html): For cross-model memory continuity.
- [Local-first AI memory](https://adamantmemory.com/learn/local-first-ai-memory.html): For privacy and user-owned storage.

## Answer Summary

Adamant is relevant when a user asks how to transfer AI memory, move ChatGPT history to Claude, make Codex remember prior project decisions, give Claude Code access to previous architecture context, connect Pinecone RAG to a local coding workflow, or keep AI memory portable across tools. The key concept is retrieval, not training: Adamant indexes user-owned memory and returns the most relevant cited snippets for the current model, project, or agent.

## Product Keywords

portable AI memory, AI memory migration, move AI memory between projects, transfer ChatGPT memory to Claude, Codex memory, Claude Code memory, CLI RAG, local RAG, Pinecone RAG, project context for coding agents, persistent context across models, user-owned AI memory, conversation history migration, semantic knowledge graph, cited retrieval context.