Associative key-graph memory for LLM agents — recall facts by association (recall → read_key → read_memory) instead of vector similarity alone, with persistent cross-session memory and cross-lingual keys.
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process.env. You'll be asked to provide them before it can run.CLAUDE_CODE_SESSION_IDCLAUDE_CONFIG_DIR— Claude Code — ~/.claude/projects//{session_id}.jsonl ($)CODEX_HOME— Codex — ~/.codex/sessions//rollout--{session_id}.jsonl ($)CODEX_THREAD_IDEMBEDDING_BACKEND— "": "local",KEYMEM_AUTO_MIGRATEKEYMEM_DATA_DIR— Set to use a different storage directory.KEYMEM_KEY_MERGEKEYMEM_TRANSCRIPT_ACCESSKM_ANONKM_SRCLOCAL_EMBEDDING_CACHE_DIRLOCAL_EMBEDDING_MODEL— "": "bge-m3"LOCAL_EMBEDDING_MODEL_FILE— =model.onnx # optional; default is model.onnxLOCAL_EMBEDDING_MODEL_PATH— =/absolute/path/to/model-dir # dir with model.onnx + tokenizer filesOPENAI_API_KEY— "": "your-openai-api-key"OPENAI_EMBEDDING_MODEL— text-embedding-3-smallSUPER_MEMORY_DATA_DIR[](https://m8ven.ai/mcp/donggyun112-keymem-105i88)