@flowingspring/dsh-workspace-memory
Workspace-scoped durable memory for DeepSeek Harness and optional voice integrations
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Workspace-scoped durable memory for DeepSeek Harness and optional voice integrations
组装式上下文(Assembled Context): a context tree over the dsh session surface with per-node assemble modes (full / key / off), agent-authored presets, and a browser panel that decides what the model actually sees.
Evidence-governed experience memory for DeepSeek Harness
Persistent cross-session local memory for DSH with Markdown SSOT and self-healing SQLite FTS mirror
Approval-gated workspace instructions and memory for DeepSeek Harness
CWL — Context Window Lifecycle for DeepSeek Harness: structured context eviction (arXiv:2606.11213). Graduated, deterministic, zero-LLM eviction of exploration/action episodes when context pressure exceeds budget — no summarization lossiness, no hallucination, user messages never evicted.
Auditable, verifier-gated self-evolution for DeepSeek Harness.
Recent conversations stay vivid. Older ones fade into summaries, not oblivion. StrataGate gives DeepSeek Harness six-layer, time-decaying memory, while lasting events and relationships settle into a knowledge graph. Bring your memories from other AIs with
DeepSeek Harness plugins for project-level persistent context: memory consolidation (MEMORY.md + CONTEXT.md), low-frequency autolearn for project skills, session archives with a mechanical index, and automatic handoff.