@agentsoul/dsh-agentsoul
AgentSoul for DeepSeek Harness — a local personality, identity, state and long-term memory layer. Auto-loads as a bundle plugin on every dsh startup.
367 results
AgentSoul for DeepSeek Harness — a local personality, identity, state and long-term memory layer. Auto-loads as a bundle plugin on every dsh startup.
dsh-df-memory
基于 DeepSeek-OCR1 光学压缩记忆系统:把记忆渲染为图像存储,支持 SoM 分段、年龄衰减/模糊化、激活召回、DSH Agent 检索
Galgame Doctor for DeepSeek Harness: multi-release translation memory, reviewer CSV queues, evidence plans, strict QA, and rollback.
Eyes for text-only DeepSeek on DeepSeek Harness: image understanding via Antigravity IDE quota (default, flash/pro), OpenAI-compatible VLM endpoints, Gemini API, or local Ollama — model-invokable vision tool, wrapper adapters for deepseek/opencode-go, evidence memory, and a polished client panel.
Native layered memory for DeepSeek Harness with persona files, workspace scope, semantic recall, and background consolidation
Generic stateless dialogue compression that mimics human memory — forgetting-curve bounded context for LLM conversations, with a ready-to-use adapter module for DeepSeek Harness (DSH).
Git-backed, reviewable long-term context for DeepSeek Harness.
DSH Web 右下角系统状态悬浮窗:CPU(x%/y)、内存、磁盘占用,1 秒刷新
Agent-driven long-term memory for DeepSeek Harness: scoped memory (global + per-workspace), layered entries (fact/knowledge/episodic), time-bucket compaction (day→week→month→year), associative recall (related chains) + memory_relate navigation (multi-hop BFS closure), auto recall injection on user messages (CJK bigram search, tail append), agent-decided content.
DSH 跨会话记忆插件 | Cross-session memory plugin: YAML 存储、embedding 语义检索、标题优先注入、两级自动注入
本地优先的 Agent 五层记忆体组件 - DSH 插件
An original high-key prismatic memory theme for the DeepSeek Harness web UI.
LMA (Layered Memory Architecture) 是一个为 DeepSeek Harness 设计的地基插件(Foundation Plugin)。它定义了 “记忆体(Memory Body)” 这一抽象概念及其挂载/卸载协议。 它与其他记忆插件的本质区别在于:LMA 是一个容器和载体,让 dsh-memory-evolve、EchoCore 等“能力性插件”可以挂载其上,它本身也内置了一套可开关的基础记忆流程,作为可选能力。LMA结束记忆功能的“一锅乱炖”,实现跨会话的结构化记忆机制。(目前功能还在持续完善以及测试,对于其他插件的接口在构想完整后逐步推动)
把 Codex(OpenAI Codex CLI / Desktop)的 MCP、技能、全局配置、记忆以适配 DSH 的形式迁移进 DeepSeek Harness(DSH 插件)
Honcho memory for DeepSeek Harness — persistent, cross-session memory that survives context resets and restarts.
Retrieved ≠ injected: CBDC-gated memory for DeepSeek Harness — decides how memory is USED (use/verify/ignore decisions, feedback learning, full audit); local SQLite + FTS5, bounded, no extra model call
Memory protocol enforcement plugin for DeepSeek Harness — forces memory_weave before tool calls, auto-ingests session turns, injects memory context into agent steps. Bridges the opencode-memory MCP server with a hard protocol gate.
Composable three-tier memory control plane for DeepSeek Harness: persistent runtime context, searchable project documents, pluggable long-term memory, guarded strategies, WebUI, and headless tools.
Mnemosyne memory for DeepSeek Harness: remember / recall / forget / stats / sleep tools, embedded skill, auto-setup, optional auto-sync/prefetch, a Settings panel, and a managed memory dashboard. Data lives under ~/.dsh/mnemosyne.
A reusable DeepSeek Harness bundle for evidence-driven memory, orchestration, benchmark operations, repository audits, and plugin release workflows.
Project Memory gives coding agents a single, trustworthy memory for a software repository — so they stop re-learning the same facts and stop writing conflicting "memory" files.
把 WorkBuddy 的文件式记忆系统移植进 DeepSeek Harness:用户级 + 工作区的人类可读 Markdown 记忆(~/.deepseek-harness/MEMORY.md 与 <cwd>/.deepseek-harness/memory/)。
VSCode-like bottom status bar for DSH Web: conversation token usage, host CPU/memory with Linux-style colored char bars, clock, and a public API for other plugins.