LLM-supervised persistent memory for AI agents — graph-based recall, cross-session knowledge, single binary. Works with DeepSeek Harness, Claude Code, OpenClaw, and any agent runtime.
🧠 The memory that dreams — cross-session memory for DeepSeek Harness. Offline & private, auto-consolidates in its sleep (autoDream), visualized in a memory panel.
Self-evolving memory + skill lifecycle for DeepSeek Harness — durable cross-session memory with zero-token deterministic recall, tiered approval, reinforcement learning from repetition, and anti-bloat convergence for both skills and memory.
File-based cross-session memory for DeepSeek Harness (DSH) — every memory is a plain Markdown file. 纯 Markdown 存储,无数据库、无 worker、无端口;从 Claude Code 无损迁移记忆与人格,带记忆星图与可选的记忆整理。
RETIRED 2026-10-05 — the official DeepSeek Harness now ships the Agent Teams subsystem (dsh-experimental-agent-team). Use native Agent Teams, or a better-adopted alternative such as @nanmicoder/dsh-agent-teams.
Local personality, memory and distillation layer for DeepSeek Harness — SOUL/IDENTITY/USER/STATE persona files, cross-session memory and LLM distillation, auto-loaded on startup.
DeepSeek Harness cross-session long-term memory + user profile plugin: the AI remembers who you are, your projects and preferences across sessions. Pure Markdown, zero-config, fully local. (monorepo: dsh-memory-core + dsh-memory-ui)