OpenViking
volcengine
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
PROJECT TOPICS
INSTALL REFERENCE
dsh plugin --profile web add github:helloxkk/dsh-scope
该命令指向仓库当前默认分支;尚无绑定当前 commit 的完整验证结果。
PROJECT README
English · 简体中文
Context visibility for DeepSeek Harness (dsh) — a Codex-style /context lens for every session, plus a GitHub-style usage heatmap for your whole history.
Two UI contributions, one plugin:
token-meter session projections via useProjection — no RPC, no custom wire protocol.
DeepSeek Harness treats wording and context as first-class engineering concerns, yet the stock Web UI shows no context occupancy and no usage history. dsh-scope fills both gaps the harness-native way: reading the projections the platform already computes, styling with the platform's design tokens (--dsw-alias-*), and mounting through the platform's slot registry — light/dark themes both correct with zero media queries.
Requires dsh ≥ 0.1.0-rc.6 on your PATH.
dsh plugin --profile web add dsh-scope
dsh web # restart dsh to load the plugin
git clone https://github.com/helloxkk/dsh-scope.git
cd dsh-scope
npm install && npm run build
node scripts/install.mjs web # or: node scripts/install.mjs <profile>
dsh web # restart dsh to load the plugin
The installer copies lib/, cordis.patch.yml, and package.json into the profile's node_modules and appends the bundle insert to the profile's cordis.patch.yml (idempotent — safe to re-run after every rebuild).
rm -rf ~/.dsh/profiles/web/node_modules/dsh-scope
# then remove the "# dsh-scope" block from ~/.dsh/profiles/web/cordis.patch.yml
rm -f ~/.dsh/storages/dsh-scope-cache.json # optional: drop the fold cache
Client half (lib/client.js, loaded via the package's dsh.client declaration):
conversation.session.header.actions (order 30, after the job list) renders the lens trigger: an occupancy ring with the live percentage. The popover reads three official projections — tokenUsage (four buckets accumulated over the whole durable log), contextPressure (input-side window pressure + the route's context window), and contextBreakdown (heuristic system/tools/message composition of the next request).sidebar.footer.action renders the heatmap trigger (label when the sidebar is wide, icon on the rail). The popover fetches GET /api/dsh-scope/days same-origin.Host half (lib/index.js): one read-only, loopback-fenced endpoint (/api/dsh-scope/days). Aggregation is incremental: per-session fold state is cached in memory and persisted to ~/.dsh/storages/dsh-scope-cache.json; each request folds only events added since the last fold. Live sessions fold their in-memory tail; persisted sessions use the storage backend's opaque revision and readFrom(id, fromSeq), with contiguity checks and a full refold on log rewrites. Steady-state cost stays O(new events) no matter how large the logs grow.
Fold semantics mirror dsh-token-meter's tokenUsage projection: a usage sample rides an assistant/chunk (data.chunk.type === "usage") or assistant/message (data.usage); a repeated sample for the same (turn, step) replaces the earlier value instead of double counting, re-attributed to the later event's day and model. Model attribution follows assistant/message's data.message.source, falling back to the last request/header config.
Nothing is sent anywhere: the endpoint refuses non-loopback callers and non-GET methods before any work, and no provider credentials are read.
npm run build # tsdown: host ESM + browser ModuleLoader bundle
node scripts/fixture-session.mjs # optional: write a demo session log with usage events
node scripts/install.mjs web && dsh web
Built and verified against dsh 0.1.0-rc.6 (@deepseek-ai/dsh-base / dsh-web-app bundles). The harness is in developer preview and iterates quickly — expect compatibility-breaking changes.
MIT
CLASSIFICATION EVIDENCE
系统优先读取 GitHub Topics,再与站内分类词典和词根规则比对。当前命中: context-window、token-usage。