dsh-project-brain
Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval
89 results
Persistent project intelligence and memory plugin for DSH: architecture analysis, cross-session context, TODOs, and optional hybrid retrieval
DeepSeek Harness bundle: a Chrome browser for agents (browser_goto / browser_evaluate / browser_screenshot and 12 more) plus a no-key net search tier (browser_search / browser_fetch / Reddit tools, ported from pi-lynx) with a live two-way pane inside the DSH Web GUI. The browser engine is a fork of zenbu-labs/terminal-browser with the React Ink terminal UI replaced by a DSH tool surface and web pane.
Two-stage intent and evidence review, deterministic completion gates, and bounded repair for DeepSeek Harness agents
SQL 优化模式:EXPLAIN 分析、索引策略、N+1 解决、查询改写。受 wshobson/agents(38k★ MIT)启发。
Evidence-governed experience memory for DeepSeek Harness
A local DeepSeek Harness north-star guard with explicit AI indicator evaluation and task alignment context.
OpenAI Responses API-backed web search provider for dsh: registers into ctx.web (web_search tool with server-side retrieval), plus a Web settings card for endpoint/model/key. Hot-pluggable — mounted via profile bundle patch, no dsh source changes.
Controlled A/B comparisons and evidence-backed reports for DeepSeek Harness plugins and presets.
DeepSeek Harness plugin: multi-tier memory management, semantic retrieval, structured memory, and model-context awareness for infinite context.
边做边学知识库:CRAG 式纠错检索(L1 Markdown wiki + L2 Hindsight)→ 未命中后台经 L3 限流联网补料 → 蒸馏落 staged → 两段式 commit 升入 L1。
dsh的跨会话记忆管理插件,让agent记住每一个任务的内容和进度。包含命题图、三层内存漏斗、混合向量 + 词法检索(RRF)以及浏览器端审查面板。 | Cross-session memory management for DSH — lets the agent remember the content and progress of every task while executing. Includes a proposition graph, three-layer memory funnel, hybrid vector + lexical retrieval (RRF), and a browser-side review panel.
RAG 检索增强生成:向量数据库、嵌入、语义搜索、减少幻觉、来源引用。受 wshobson/agents(38k★ MIT)启发。
Turn explicit coding-agent corrections into executable DeepSeek Harness regression tests.
把技能当可训练参数:像训练神经网络一样训练 agent 技能(epochs/batchsize/learning rate/验证门禁,但不碰模型权重)——rollout→reflect→aggregate→select→update→evaluate 循环、候选编辑仅在严格改善 held-out 验证分时接受、文本学习率预算、零推理时模型调用、部署紧凑 best_skill.md。受 microsoft/SkillOpt(MIT)启发。
Pre-write reuse firewall for DeepSeek Harness: before the agent writes a new helper/service, surface the existing implementations that already cover that intent. Deterministic retrieval (no LLM) backed by the Auto_code_audit capability channel.
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
Agent benchmark evaluation plugin for DeepSeek Harness: web panel, slash commands, headless CLI, test-set import, model/judge switching, orchestration, scoring, and reports.
Agent observability plugin for DSH — behavior audit, cost tracking, anomaly detection
DSH plugin: context archiving + historical retrieval — archive_session / search_archive tools over the session-archive skill (zstd session-log decode).
Deterministic regression tests for DSH policy decisions, evaluated without invoking the protected tool body.
几何论(共扼谱几何 CSG)知识库插件:纯离线 BM25 检索 208 篇文章全文 + 3833 分块 + 871 条主库真理层,零运行时依赖。Conjugate Spectral Geometry knowledge base for DeepSeek Harness: fully offline BM25 retrieval over 208 articles, 3833 chunks and 871 verified truths.
DeepSeek Harness plugin exposing the CX Agent Studio Scripting API CLI (cxas-scrapi / 'cxas') as model-facing tools: apps, deployments, evaluations, conversations, traces, tools, callbacks, variables, pull/push, and lint.
Cross-session knowledge for DeepSeek Harness: ctx.knowledge service + knowledge_* tools, SQLite FTS5 trigram retrieval (CJK substring) with L1 query expansion. V1.11 contract (write/update/search/list/delete + budget + events + error codes).
DeepSeek Harness plugin: forces one critique-and-improve round after each completed turn.