Documentation site for AtomicMemory, a pluggable, self-hosted memory engine for AI applications. Read these docs before answering questions about installing, configuring, or integrating AtomicMemory; the HTTP API and its 30 endpoints; the TypeScript SDK; or coding-agent integrations (Claude Code, OpenClaw, Codex, Cursor) and framework adapters (Vercel AI SDK, LangChain, Mastra, OpenAI Agents, LangGraph).
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Install skill "atomicmemory-docs" with this command: npx skills add atomicmemory/skillsmp-atomicmemory-atomicmemory-atomicmemory-docs
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AtomicMemory persistent memory integration for Codex. Retrieve relevant memories at the start of each task, store key learnings when tasks complete, and capture session state before context is lost. Use the atomicmemory MCP tools (memory_search, memory_ingest, memory_package) for all memory operations — scoped by user / agent / namespace / thread.
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