@bingo_touth/memory-mcp-server
分层长期记忆 MCP 服务器:本地 MiniLM 或 OpenAI 兼容嵌入 API,供 LLM Agent(DeepSeek Harness / Claude Code)做可语义检索的长期记忆
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分层长期记忆 MCP 服务器:本地 MiniLM 或 OpenAI 兼容嵌入 API,供 LLM Agent(DeepSeek Harness / Claude Code)做可语义检索的长期记忆
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
User preference memory for DeepSeek Harness: persisted user profile with memory_get/memory_update tools and system-prompt injection
BrainAgent — brain-inspired plugin for DeepSeek Harness (dsh): a pipeline of heuristic filters, statistical memory stores and context injections; reward-ledger + UCB1 bandit learning loop (RL-lite)
大 engram 小 KV:外置 engram 转接层(跨会话分层记忆:global/project/session,AI 自主决策归属 + 因果链接索引 + 渐进披露 + 主动唤醒),为 DSH 实现超长上下文记忆稀疏路由,与官方 compact 共存(官方腾 KV,engram 保细节)
Cross-session long-term memory for DeepSeek Harness (dsh): durable JSON-file memory store with memory_save / memory_recall / memory_forget / memory_list model tools, installable as a dsh bundle.
Import Claude Code memory (CLAUDE.md) and conversation history into DeepSeek Harness as resumable sessions; /init scaffolds an AGENTS.md project memory file.
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/)。
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).
Cross-session long-term memory for AI agents — local Go service (~50MB RAM, SQLite-vec, verify-augmented) with bridges for DeepSeek Harness, Claude Code, Codex, Hermes, OpenClaw, opencode, pi, Reasonix.
dsh-df-memory
Microsoft SkillOpt-Sleep integration for DeepSeek Harness: give your dsh agent a nightly sleep cycle that harvests past sessions, replays recurring tasks, and consolidates validated skills behind a held-out gate.
Cross-session memory with governance, self-evolution and an approval-gated write path for DeepSeek Harness. Heat-ranked recall, environment conventions, forgetting lifecycle, supersession chains, poisoning defense, auto-distillation, and an open measurement ABI.
Honcho memory for DeepSeek Harness — persistent, cross-session memory that survives context resets and restarts.
Git-backed, reviewable long-term context for DeepSeek Harness.
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.
Experience Memory for DeepSeek Harness
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.
A reusable DeepSeek Harness bundle for evidence-driven memory, orchestration, benchmark operations, repository audits, and plugin release workflows.
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
Thread session memory for dsh — lossless event capture + status-card injection (dsh plugin, standalone repo).
会话记忆 → OKF 知识沉淀插件:预测驱动的神经自我学习记忆系统。把会话中高价值内容按 OKF v0.1 规范沉淀为长期记忆,跨会话自动唤起。Session-to-OKF memory plugin with neuro-self-learning (predictive recall, uncertainty-driven capture, reinforcement feedback).
Native, per-workspace long-term memory for DeepSeek Harness: facts and profiles on DSH's own storage-domain, cross-session recall through session-query FTS, approval-gated writes, and cited provenance — no external server, no extra runtime dependency.
Codex-like persistent memory for DeepSeek Harness: auto-injected memory summary, raw memory tools, and per-session rollout summaries distilled into a bounded global memory file.