Asaiuta / dsh-session-hub

Open-source CMA-compatible agent runtime for any model, with MCP tools, sandboxed sessions, audit, replay, and a local console. Includes a native DeepSeek Harness bundle over stdio MCP.

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.

Local-first AI workbench for DSH Plugins, combining Agent sessions, project files, data analysis, web research, MCP, and Office artifacts in an Electron desktop app.

Use this cross-platform skill in Codex or Claude Code to establish repository-local continuity memory so a future agent can recover objective, status, decisions, validation, risks, and next actions without relying on previous chat history.

从Claude Code、Codex、Reasonix等Agent工具导入迁移历史消息，并在DeepSeek Harness(DSH)中继续对话

长任务，不刷屏：关键进度清晰可见，完成后自动折叠，详情随时展开。 Long agent tasks, without transcript clutter: focused progress, auto-folded history, details on demand.