Plugins

Evidence-first guard: warns the agent when it claims success without a matching tool-execution record in recent context.

Kit de ferramentas de Medicina Tradicional Chinesa: diagnóstico pelos oito eixos e consulta de pares de ervas

Portões de verificação com computação real: simplificação matemática, provas lógicas, validação de regex, FOL via E-prover, verificações de máquina de estados e reparo de código, apoiados em binários compilados em Go com executáveis pré-compilados para Windows

Um único vault Obsidian compartilhado para todos os agentes: núcleo Python sem dependências (buscar/promover/julgar/esquecer), modelo de vault, plugin dsh (memory_search/show/submit/status)

Recuperação de memória baseada em palavras-chave com BM25

Runtime extension suite for DeepSeek Harness: cross-session mailbox with wake cold-start, agent teams (captain + members + dependency task board + team_wait), subagent spawn policy with escalation approval, task-aware routing preset, plugin market, skill manager and runtime injector.

Memory Lake as a persistent memory layer for dsh: memory_search, memory_remember, and memory_forget tools over the memorylake CLI, a session status line, and guided setup/diagnostic skills, sharing one ~/.memorylake identity and memory set with the Claude Code and Codex plugins.

Conversation history recall for DSH: three-layer (literal/fuzzy/semantic) retrieval over every past session's original text, fully local & offline — AI never forgets what you told it. One-command install via `dsh.bundle.patch`, semantic layer runs in a worker thread.

Cross-session plaintext memory: deterministic BM25 keyword recall (no embeddings), memory_save/list/search/confirm/forget tools behind a human-confirm gate, and global + project-scoped JSON stores that follow your git repo.

Cofre de memória entre sessões: ferramentas remember / recall / forget, injeção de prompt por turno e um navegador de entradas na página de configurações

DeepSeek Harness (DSH) plugin for local-first automatic Wiki memory and native Skill generation.

DSH Web taskboard plugin with workspace-scoped Agent sessions, staged human review, delivery confirmation, and durable archival

LLM-driven remember/forget memory: after each turn a model decides what to keep (MemoryDirector), injects relevant memories before each step, dedups, and persists cross-session.

Create/modify/inject test assistant messages and import/repair session.jsonl(.zstd) session logs into new sessions.