Plugins

Hindsight, agent memory that learns: long-term project memory with auto recall and retain, knowledge pages, deep reflection, and per-repo memory banks.

Automatic conversation distillation: background subagent reflection + skill create/update.

Execution-discipline suite for DSH with identical-retry interception, forced reflection, todo enforcement, memory deduplication, and experience-to-skill promotion (11 plugins + 6 skills).

Proactive multi-model scheduling plugin: multi-source signal intake with dedup and urgency ranking, a four-way execute/defer/dismiss/ask-user decision engine, DAG plan generation with parallel model execution, quality reflection with automatic retry and model switch, long-term memory for task patterns and lessons, and strategy evolution via genetic algorithms with sandboxed evaluation and canary rollout.

Feeds every dsh prompt into the local agent-feedback-loop feedback-memory pipeline — captures dissatisfaction, reviews it offline into reflections, and attaches the compiled recurrence-rule context back to the turn, never blocking a prompt. Requires the agent-feedback-loop runtime; running agent-feedback-loop install afterwards wires existing dsh profiles automatically.

DSH Desktop enhancement plugin: task-execution discipline plus a real relationship, per session. Discipline: adaptive protocol tiers (short for chat / full for tasks / lean for reasoning models), intent routing across Q&A, lookup, discussion, diagnosis and execution (diagnosis never fixes unasked), evidence recency (verify timestamps and causality before citing logs or old errors), real tool-result verification (failed or unknown results are never reported as done), self-healing on repeated failures with a cross-session reflection loop, compaction awareness that re-anchors state after the host condenses history, and document-capability awareness (probe for document tools and constrain accordingly: with tools, read before you write and read back before claiming done; without them, state the boundary instead of hand-parsing binary office files). Persona: distill named characters from chat logs, novels, scripts and character-setting documents, with tone, catchphrases and reply length anchored to real material statistics; long-term memory with automatic expiry for time-bound facts, corrections captured as style rules, approved replies pinned as corpus, two-way feedback that converges with use, memory star map, and persona card export/import. Constraints are injected only when relevant, so idle chat pays no extra tokens.

Project-scoped cross-session memory: PROJECT.md snapshot injected into the first user message, a memory_remember tool, and auto-reflection after ReAct tasks; each project keeps its own memory file.

Distills session work into background observations and reflections to preserve context across compaction.

Dreaming for agents: replay recent conversations between sessions (dream_digest), reflect and write a dream journal (dream_save/journal/recall), and idempotently bridge recurring lessons into AGENTS.md (dream_bridge). Reads multi-frame zstd session archives with privacy masking on by default; six tools including a health self-check; zero runtime dependencies.

Permanent memory plugin for DSH with vector search, LLM reflection, and knowledge pages.