tianhao8687/dsh-memoryos0

dsh-memoryos

Evidence-first long-term project memory for DeepSeek Harness

AI 分析

核心用途是为智能体引入长期项目记忆。适合需要跨会话保持项目上下文、且本地已运行 MemoryOS 服务的用户。

パッケージ
dsh-memoryos
バージョン
0.2.0
ライセンス
MIT
最終更新
2026/08/17

インストール

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:tianhao8687/dsh-memoryos

ドキュメント

README 全文を読む ↗

Configuration

Environment variableDefaultMeaning
MEMORYOS_ENABLED1Initial state only when no persisted control state exists; 0 starts in ordinary off mode
MEMORYOS_CONTROL_ENABLED1Expose the model-callable on/off/status control tool outside strict no_memory
MEMORYOS_ONBOARDING_NOTICE1Ask the Agent to relay the first-success notice once
MEMORYOS_STATE_FILEOS config directoryOptional per-profile path for persistent switch/onboarding state
MEMORYOS_BASE_URLhttp://127.0.0.1:8000Local MemoryOS endpoint
MEMORYOS_AUTH_TOKENnoneLocal MemoryOS bearer token
MEMORYOS_CONDITIONmsc_progressiveContext-delivery condition
MEMORYOS_BUDGET_TOKENS6000MemoryOS response budget
MEMORYOS_MAX_CONTEXT_CALLSunlimitedPer-session context-call ceiling; 0 means unlimited
MEMORYOS_RESPONSE_FORMATjsonjson, deepseek-compact, or progressive compact mode
MEMORYOS_TOOL_PROFILEread-onlyread-only or explicit cross-session-write
MEMORYOS_REPOSITORYnoneFixed repository scope; required for writes
MEMORYOS_TASKnoneController-owned task description
MEMORYOS_TIMEOUT_MS30000Local MemoryOS request timeout

Usage-ledger and controlled-eviction variables are evaluation infrastructure; see cordis.patch.yml and the architecture document before enabling them.