Chinesezjc
7b6f33f872
Address the review of the search render card: - The search result view carries no `content`: it was a no-op for every consumer and serialized the whole search text twice. A UI without a search card falls back to the raw tool/result content; the TUI stays byte-identical to the pre-search-card generic fallback. - Bound the serialized presentationMeta with a configurable searchMetaMaxBytes (default 64 KiB): the inline item cap does not bound bytes, and spill-policy only shrinks content, never meta. capMetaBytes drops trailing groups/paths. - Share one retention pass (retainGrepMatches/retainGlobPaths in search-core) between the model-facing render and the meta projection; remove the second cap/preview implementation and the presentation<->grep module cycle by moving GrepMatch/previewLine to search-core. - Rename the result-view discriminant kind -> shape so it no longer collides with GenericCallView.kind (ToolCallKind, whose values include 'search'). - Narrow the entry export surface to consumed symbols. - Sync the three bilingual ToolResultView doc pairs and the Agent Note pair; document the deliberate empty-card acceptance vs diffsFromMeta. - Regenerate config/tool/cordis catalogs for the new config field.
DeepSeek Harness
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DeepSeek Harness (dsh) is an open-source coding agent built on the DeepSeek Harness SDK.
It uses an architecture where everything is a plugin.
Install
Install dsh with one command:
curl -fsSL https://raw.githubusercontent.com/deepseek-harness/deepseek-harness/master/scripts/install.sh | sh
The installer requires git and Node ^22.19 || >=24, offers to install pnpm when it is missing, and prompts for a DeepSeek API key.
The installer keeps every checkout under ~/.dsh/source: the master clone at ~/.dsh/source/master and each install's staging checkout as a git worktree ~/.dsh/source/staging-<timestamp>. The stable symlink ~/.dsh/source/current points at the active staging worktree, and dsh in ~/.local/bin links to current/bin/dsh, so an upgrade repoints one symlink and the dsh on PATH never moves. Re-running the command adds a fresh staging worktree from an updated master and repoints current at it. See scripts/install.sh for alternate install locations and other options.
Use DeepSeek Harness
Web UI
For the recommended local interface, build the frontend after installation and after each update, then start the Web UI. Resolve the running checkout from the dsh launcher so the command holds regardless of which staging worktree is current (the launcher resolves through the stable current symlink):
dsh_bin=$(cd "$(dirname "$(command -v dsh)")" && pwd -P)/$(basename "$(command -v dsh)")
while [ -L "$dsh_bin" ]; do
link=$(readlink "$dsh_bin")
case $link in /*) dsh_bin=$link ;; *) dsh_bin=$(cd "$(dirname "$dsh_bin")" && cd "$(dirname "$link")" && pwd -P)/$(basename "$link") ;; esac
done
dsh_dir=$(cd "$(dirname "$dsh_bin")/.." && pwd -P)
pnpm --dir "$dsh_dir" run build && pnpm --dir "$dsh_dir" run build:web
dsh web
The Web UI is served at http://127.0.0.1:3080 by default.
TUI
Start the full-screen terminal interface:
dsh
Headless
Run one task, print the final answer, and exit:
dsh -p "summarize this workspace"
Why DeepSeek Harness
Built-in capabilities cover file reading, editing, and search; shell execution; reusable skills; task tracking; subagents and workflows; persistent sessions; and context compaction. The TUI also includes Plan Mode.
- Everything is a plugin. Models, tools, policies, storage, context management, and interfaces are composable Cordis plugins, so deployments can extend or replace behavior without forking the agent loop. See the architecture for the underlying design.
- Code Mode (opt-in). It exposes a
run_codetool and a generated TypeScript SDK; only program output re-enters model context. See Code Mode. - Self-referential Cordis tools are opt-in. They let the agent inspect its live runtime and mount or unmount plugins while it runs. See the Cordis tools.
Community
Follow DeepSeek Harness on Twitter for project updates.
Development
pnpm install
pnpm run test:coverage
Start with the development guide and read the architecture before changing packages.
For agents, follow AGENTS.md.
DeepSeek Harness is currently pre-release.