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dsh-openkapsel

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dsh-openkapsel

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Remote-only OpenKapsel workspace bridge for the DeepSeek Harness: replaces host filesystem and shell tools with a fail-closed remote tool set. Self-hosted alternative to cloud agent sandboxes.

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dsh-openkapsel

CI Listed on dsh-plugin.org

OpenKapsel workspace bridge for the DeepSeek Harness. It turns a remote OpenKapsel workspace into model-visible tools: supply the read-only workspace URL ending in /w/<READ_TOKEN> and its matching control token, and the agent can list/read/write files, run Shell tasks, and call the other OpenKapsel REST surfaces. The model has no host filesystem or host Shell tool in the bundled remote-only preset.

The bridge reuses the workspace-published openkapsel-rest skill's Python helpers (openkapsel_http.py and openkapsel_config.py), vendored under skill/. Each kapsel_* tool invokes one of those two fixed scripts through the harness host Shell service. The model cannot choose the script or use that service as a Shell tool. Authentication, Context attribution (plan_id/taskname/message), REST error decoding, and credential renewal stay owned by the maintained skill code. Every helper subprocess receives an explicit DSH workspace-write policy rooted at that agent's private state directory; the executor also controls any platform temporary-directory access.

Compatibility and permissions

AreaRequirements and scope
DSHTested with DSH 0.1.2-rc.1, the web profile, and the bundled OpenKapsel Remote preset. The preset's persona field was updated for DSH 0.1.5-rc.2; an existing session's command picker was confirmed working after the update. Other profiles are not verified.
Node.jsPackage declares >=18; the test matrix covers Node.js 22 and 24. Use a version supported by your DSH installation; Node.js 18 is not covered by this project's CI.
PythonPython 3.10+ on the Host's PATH: python on Windows, python3 on macOS/Linux. The test matrix covers 3.10 and 3.14.
Host platformmacOS/Linux use DSH's Bash executor; Windows uses DSH's PowerShell executor without Bash. GitHub installation and Host startup verified on macOS. Windows installation and actual plugin use confirmed by user testing (2026-09-09). Linux/Windows automated tests are configured in CI.
External serviceRequires a reachable, user-selected OpenKapsel Server and its Workspace URL/control token. Requests and their supplied file contents or commands are sent to that server.
Local accessRuns fixed Python helpers through DSH's Shell service and writes session credentials under $DSH_HOME/state/dsh-openkapsel (default ~/.dsh/state/dsh-openkapsel). Model-facing host file/Shell tools and run_code are denied.
CredentialsStores the read URL and control token under the user's DSH state directory. Unix uses 0600 files and 0700 directories; Windows relies on the containing user directory's ACL (chmod does not enforce Unix permissions there). Automatic renewal may replace stored credentials.
Remote permissionsCan read, modify, and run Shell commands within the remote token's grants. Typed tools are conveniences; the server enforces authorization for generic REST calls too.
DSH policyread-only denies remote mutations and Shell; a one-call approval may authorize a retry. workspace-write and danger-full-access both remain bounded by the remote token.
LicenseMIT. This is a community plugin, not an official DeepSeek product.

Why the internal transport remains Python

An installed Cordis package could implement the transport in Node. This bridge keeps Python because the existing helpers already own renewal, authentication, error decoding, and Context merging. Reusing them avoids a second protocol implementation that could drift as OpenKapsel evolves. This does not grant the model a local Shell: script paths are plugin-owned constants and arguments travel as JSON on stdin to a fixed Python bootstrap.

Requires python on Windows or python3 on macOS/Linux on PATH.

Layout

index.js                Host-side Cordis plugin and typed remote tools
bundle.js               Profile bootstrap that installs only the preset
cordis.patch.yml        DSH bundle entry point (no global tool guard)
preset-install.js       Shared, update-safe preset installer
skill/openkapsel-rest/  Vendored REST skill and fixed Python helpers
preset/kapsel/          Remote-only agent preset shown in DSH's mode picker
bin/install-preset.js   Installs the preset into the DSH user preset root
cordis.example.yml      Annotated bridge row
tests/                  Tool-catalog and remote-isolation tests

Install

Install from GitHub into the DSH web profile:

dsh plugin --profile web add github:zzzmmmnn/dsh-openkapsel

No manual symlink or local source checkout is required. DSH manages the package as a profile dependency. Its dsh.bundle patch loads a lightweight bootstrap when the profile starts. The bootstrap installs the OpenKapsel Remote preset; it does not register tools, enable the remote-only guard, or change the default preset. Tools and the guard load only when you select OpenKapsel Remote.

Untouched package-managed presets update automatically on startup. Existing identical manual installations are adopted. Locally modified presets are preserved and reported instead of overwritten. To explicitly replace one:

dsh plugin --profile web exec dsh-openkapsel-install-preset --force

The target is $DSH_HOME/.agent-presets/kapsel, or ~/.dsh/.agent-presets/kapsel when DSH_HOME is unset. Restart DSH. New sessions can then select OpenKapsel Remote beside the shipped modes. Existing non-empty sessions keep their original preset. Supply your OpenKapsel Workspace URL and matching control token through kapsel_config to connect the remote workspace.

The installer command without --force remains available for manual setup. Removing the package does not delete the copied preset or session credentials. After uninstalling, remove $DSH_HOME/.agent-presets/kapsel if no other profile uses it. The preset root is shared by profiles using the same DSH_HOME.

Version 0.7.1 changes the bundled preset's persona field from text to prefix, as required by DSH 0.1.5-rc.2. The old field can prevent existing OpenKapsel sessions from mounting after a DSH upgrade. Restart DSH after updating the plugin so the bootstrap can refresh an untouched installed preset; if you customized that preset, use the --force installer command above only when you intend to replace your changes.

Version 0.7.0's packed bundle was installed into a fresh temporary DSH profile on macOS: profile composition, Web Host startup, and automatic preset creation passed without changing the default standard preset. The new bootstrap also has automated installation, update, customization-preservation, and isolation tests.

The earlier GitHub installation and profile-scoped installer were verified locally; the installed package passed its tests and the DSH web Host started successfully on macOS. Windows installation and actual plugin use were also confirmed by user testing on 2026-09-09. On Windows, run these same commands from PowerShell; ensure python --version resolves to Python 3.10 or newer. Bash is not required.

Remote-only preset

Select OpenKapsel Remote in the DSH preset picker:

DSH preset picker with OpenKapsel Remote selected and its English description visible

Do not add dsh-openkapsel to standard or minimal: both expose host-local tools. The bundled preset intentionally omits host Bash/PowerShell, filesystem/search/editor, job control, local AGENTS.md discovery, and local skill discovery. It retains only the OpenKapsel bridge plus skill, ask_user_question, and todo_write.

The plugin also installs a fail-closed tool guard. Accidentally composing an undeclared or local tool therefore causes execution to be denied even if a future preset edit makes that tool visible to the model. DSH's optional run_code presentation transport is denied. Remote-only mode explicitly selects native tools, so model-authored code is not executed through a host code runtime.

DSH sandbox-mode mapping

The bridge resolves the current policy from ctx.sandboxPolicy for every tool call:

DSH modeRemote OpenKapsel behavior
read-onlyAllows configuration, status, Discovery, filesystem reads, and generic GET/HEAD; denies remote mutations and Shell execution
workspace-writeAllows every capability granted by the OpenKapsel token
danger-full-accessSame bridge behavior as workspace-write; it never widens the OpenKapsel token

A denied mutation can be retried with a one-call approval request:

{
  "sandbox_permissions": "workspace-write",
  "justification": "Update the requested remote configuration file once."
}

The plugin delegates the request to DSH's approval service before contacting the remote mutation endpoint. Approval does not change the session's durable sandbox mode. Rejection, cancellation, a missing approval channel, malformed fields, and non-widening requests all fail closed.

The bridge row inside the bundled preset is:

- id: tool-kapsel
  name: 'dsh-openkapsel'
  config:
    taskname: dsh
    enforceRemoteOnly: true

dsh-openkapsel consumes the host shell, tools, skills, and sandboxPolicy services and publishes none. Mount it in the dedicated agent preset, not globally.

Usage

  1. kapsel_config(workspace_url, control_token) stores credentials in this DSH session's private plugin state, then selects or creates an active root Plan for mutation attribution. Re-run it to switch workspaces or rotate credentials.
  2. skill("openkapsel-rest") loads the authoritative REST reference before nontrivial operations.
  3. Operate through the remote tools:
ToolPurpose
kapsel_config / kapsel_statusConfigure or inspect the active workspace
kapsel_plan_updateUpdate, reparent, cancel, or complete a Plan with a structured debrief
kapsel_fs_list / kapsel_fs_read_files / kapsel_fs_stat / kapsel_fs_grepRead-side filesystem
kapsel_fs_write / kapsel_fs_replaceRemote text write/edit
kapsel_shell_exec / kapsel_task_outputRun a Shell task on the server or a mapped client and poll its output
kapsel_mapping_listList mapped client directories, online status, and advertised execution/RPC capabilities
kapsel_rpcUnified server/mapping RPC entry: omit mapping_id for the server workspace or provide it for a client mapping; sync returns directly, task returns a normal server or unified client task id; writes use DSH approval + Plan/Context and mapped writes require a writable mapping
kapsel_fs_copy / kapsel_fs_move / kapsel_transferCopy or move across workspace and client storage, then inspect/cancel/resume asynchronous transfers
kapsel_recycleList, restore, or explicitly purge an item in the selected storage root
kapsel_httpContext, Memory, sharing, preview, schedules, and other REST surfaces

For client mappings, first call kapsel_mapping_list and inspect the client's reported platform and sandbox mode. Shell execution uses kapsel_shell_exec; a mapped cwd with target: "auto" runs on that client and returns a unified task ID. Inspect output with kapsel_task_output, and use kapsel_http with the ordinary /task/* lifecycle for status, stdin, interrupt, or kill. Mapping-specific public task/argv REST endpoints are not exposed. An unsandboxed client task has that client's OS-account permissions.

kapsel_shell_exec accepts target: "auto" (default), "server", or "client". Auto selects a connected client when cwd is inside its mapping (for example laptop/project), otherwise the server. A missing/denied client fails without server fallback. The client needs OpenKapsel 1.62.0+ and an enabled writable execution mapping. Its own OS, sandbox, and limits apply; server /env settings are not injected. The returned task ID works with kapsel_task_output and the standard /task/* controls via kapsel_http. Client stdout/stderr are combined in stdout; client stdin chunks are at most 16 KiB. The public execution interface is command-string based; there is no mapping-specific literal-argv REST endpoint.

kapsel_http.json is always a JSON object. Endpoint fields belong inside it, not beside it. Context-management endpoints are handled specially because their plan_id fields describe the Context graph rather than ordinary operation attribution; prefer kapsel_plan_update for Plan changes.

Each DSH agent is keyed separately by agent.id. Credentials live under $DSH_HOME/state/dsh-openkapsel/<sha256(agent.id)>/.openkapsel.env; active Plan and taskname values are held in an agent-keyed WeakMap. The local project cwd is not used for credentials or remote-workspace selection. An absolute stateDir plugin option can replace the default private state root.

For a recorded mutation, taskname is resolved from the current tool call, then the selected active Plan/session value, then the value set by kapsel_config, then the plugin's preset configuration, and finally dsh. Empty and whitespace-only values do not suppress this fallback. The active Plan is selected automatically when plan_id is omitted; selecting a persisted Plan after a Host restart also restores that Plan's taskname. A missing or blank message receives a short default operation message.

Security notes

Typed tools are convenience wrappers, not an additional permission boundary. kapsel_http exposes the REST surfaces available to the selected credential; the remote server enforces endpoint, path, and capability authorization. DSH read-only mode additionally denies mutating HTTP methods and Shell execution. This assumes that GET/HEAD endpoints honor read semantics; project application routes implement their own behavior and authorization.

The current DSH Shell service accepts a command string, not an argv array. The bridge sends helper paths and arguments as ASCII JSON on stdin to a fixed Python bootstrap. Model input never enters the Host Shell command text. NUL arguments are rejected. Generated tests round-trip quotes, newlines, substitutions, backslashes, empty strings, and Unicode through Bash on Unix and PowerShell 7/Windows PowerShell 5.1 on Windows. Helpers retain their DSH sandbox policy, and their exit codes propagate through PowerShell.

Version 0.5.0 renames the package, installer command, and default state directory to dsh-openkapsel. Reinstall the preset and initialize credentials again after upgrading. To reuse an existing private state directory, explicitly configure stateDir to that directory. Tool names (kapsel_*) and the kapsel preset ID remain stable.

Development checks

Run npm ci and npm test. GitHub Actions checks Node.js 22/24 with Python 3.10/3.14 on Linux and Windows, including helper argument round-trip and remote permission tests.

Operational notes

  • The control token is stored only in the session-private credential file with Unix mode 0600 (Windows uses inherited directory ACLs). Neither the token nor its host-private path is returned in tool results.
  • The read token in the workspace URL is read-only; the control token unlocks writes, Shell, Context, Memory, and sharing.
  • Every mutation is attributed to an active Plan with a taskname and message.
  • Tokens go only to the workspace origin or documented transfer paths, never to preview or public-share URLs.
  • The model-facing guard permits only kapsel_*, skill, ask_user_question, and todo_write.

Verification

npm test

The tests assert that the bundled preset contains no local Shell/filesystem provider and run two simulated DSH agents against separate HTTP workspaces. The integration test verifies that each remote workspace receives only its own write, the local sentinel remains unchanged, and credentials exist only under the private state root.

Unified RPC and read-side tools

Version 0.9.0 added kapsel_fs_read_files, kapsel_fs_manifest, and kapsel_fs_grep. The current unified RPC contract targets OpenKapsel 1.62.0+. Git and Archive operations use kapsel_rpc; Git read operations remain independent of Shell/client execution permission and use bounded sanitized snapshots. Git add, commit, restore, checkout, fetch, pull, and clone are write=true, execution=task; Archive create and extract use the same task model.

kapsel_rpc is the single dynamic RPC entry point for both locations. Omit mapping_id to target the server workspace; provide a mapping name to target a client mapping. Server-capable families are advertised by Discovery under capabilities.mappings.rpc.families with server_rpc and operation categories such as sync_reads / task_writes. Client mappings continue to publish per-operation description, JSON input_schema, boolean write, and execution through kapsel_mapping_list.

A server task returns a normal server task id; a mapping task returns a unified client.<mapping>.<task> id. Poll either with kapsel_task_output; inspect or control either kind through ordinary /task/* routes with kapsel_http. Never replay an uncertain write-task start. write=true always uses DSH approval plus OpenKapsel Plan/Context; mapped writes additionally require the mapping to be administratively writable. There is no server/mapping/FUSE fallback after the RPC target is selected. Git reads/writes and Archive list/read/create/extract all use kapsel_rpc.

The generic HTTP tool recognizes POST fs/read/files and fs/query/manifest as read-only. It also classifies both rpc/<family>/<operation> and mapping/<mapping-name>/rpc/<family>/<operation> from runtime RPC metadata, so RPC reads bypass mutation approval while writes use approval and Plan attribution. Archive preview uses generic archive RPC (list/read). Other POST operations retain their existing guard. Query values may be arrays to send repeated parameters, e.g. include: ["*.py", "*.js"] or file: ["a", "b"]. The vendored REST skill is synchronized with the main OpenKapsel project. Server RPC task deadlines default to 600 seconds unless overridden (maximum 86400); mapped RPC task deadlines also obey the client task policy. The bundled HTTP helper waits 120 seconds and the DSH helper process budget is 130 seconds for ordinary synchronous requests.

Client reconnects and portable text

The bundled REST references track OpenKapsel 1.62.0. The current mapping handshake requires client 1.62.0+.

A network disconnect does not stop tasks in the running client process. Reconnect and list/query the original task IDs to retrieve output and exit status, including tasks that completed offline, or to send stdin/interrupt/kill. Deadlines continue offline. Uncollected results remain in bounded client memory; the registry limit is max_tasks + 4. Reading through completed output marks a result collected; collected results have one-hour/four-record retention and may be evicted earlier for capacity. Client process restarts do not restore tasks. Do not automatically replay a start whose response was lost.

Text APIs default to UTF-8 without using the host locale. For a non-default encoding, pass encoding to kapsel_fs_read_files (or in the JSON body for POST fs/read/files) and on each relevant item in POST fs/write/mutate. kapsel_fs_write uses file.create or exact-ETag file.replace; kapsel_fs_replace requires the exact expected_etag and an exact match count (default 1).

Supported codecs include UTF-8/BOM, explicit-endian UTF-16, Big5, GBK/GB18030, Windows-1252, Latin-1, ASCII, and Shift-JIS. See the bundled files reference for exact codec names and BOM rules. There is no guessing or lossy conversion. LF, CRLF, and CR remain literal: exact replacements must match original endings, and new text chooses its own endings. UTF-8-only byte cursors and search retain their existing restrictions.

RPC-first mappings (OpenKapsel 1.61.0+)

kapsel_mapping_list may report online: true and mounted: false: this is normal. Use file, search, copy/transfer, archive and RPC tools directly; never mount a mapping or run a Shell command just to make those interfaces work. Static preview also uses RPC. Keep the default target: "auto": a mapped cwd executes on its client without a server mount; other working directories execute on the server.

For intentional server execution, the cwd mapping is automatic. Declare other native filesystem dependencies with the optional mount_mappings array of at most 256 non-empty workspace mapping names or IDs:

{
  "command": "python laptop/project/main.py",
  "cwd": ".",
  "target": "server",
  "mount_mappings": ["laptop"]
}

Pass this to kapsel_shell_exec, or put it in kapsel_http.json for POST shell/exec. The field does not change auto placement, and non-empty dependencies are invalid for client execution. Both routes retain normal write approval and Plan/Context attribution. Do not parse commands to guess dependencies or default to mounting every mapping.

FastAPI's extra native dependencies belong in the application's api/mappings.json, for example {"mount_mappings":["datasets"]}. Its containing mapping is automatic. Mount leases follow the task or API worker, not one HTTP request; ordinary file operations never use FUSE fallback. A server may disable native mounts while leaving file/RPC and client execution available.

Current clients always enable core file RPC: rpc.file has been removed; remove that key from older client configurations. Upgrade both client and server for file_stream metadata. Treat unavailable_mappings, truncated, and unavailable tree/manifest nodes as incomplete results, not missing files. After a timeout, cancellation or lost write/start response, inspect existing tasks and affected paths; never automatically replay the command or RPC mutation.

The bundled skill's mappings, Shell and web/application references document the contract. Runtime Discovery remains authoritative for server-version differences.

Shell startup request timeout

The plugin setting shellRequestTimeoutSeconds controls the HTTP wait for the initial Shell-start response, including lazy native-mount setup. It defaults to 120 seconds and accepts finite numbers from 1 to 3600. Configure it in the DSH composition row, not in the tool's request JSON:

- id: tool-kapsel
  name: 'dsh-openkapsel'
  config:
    taskname: dsh
    enforceRemoteOnly: true
    shellRequestTimeoutSeconds: 300

Both kapsel_shell_exec and generic POST shell/exec calls use this setting. The Python HTTP request uses that timeout; the host helper watchdog adds 10 seconds (130 seconds by default). Credential discovery/renewal and harness or reverse-proxy limits may impose their own bounds; this is not a guarantee that every setup completes within the configured time. Other endpoint budgets are unchanged. A tool's timeout_seconds is the remote task execution deadline and is deliberately independent. A failed startup request is never automatically retried; its error reminds the model that timeout/cancellation does not prove the remote task stopped and that /task/* must be inspected before any retry.

Structured configuration and large tables

Use kapsel_mapping_list to inspect the client's structured and tabular schemas, then call kapsel_rpc. Structured JSON/YAML/TOML edits use conditional atomic write/patch tasks; CSV/Excel operations are read-only, including asynchronous tabular.scan. CSV pages use authenticated seek cursors, not repeated row-offset scans. Segment scans return explicit progress/continuation and must not be mistaken for complete whole-file aggregates. Format availability depends on optional libraries installed on the mapping client. No FUSE is needed.

The bundled openkapsel-rest skill includes references/data-rpc.md.

SSH RPC

Use kapsel_mapping_list to inspect the client's ssh capability, then call kapsel_rpc. SSH profiles and credentials stay on the mapping client. The first operation may select a configured profile and returns a process-scoped connection_id; later exec, SFTP read/list/stat, upload, and download operations can reuse the same authenticated transport. Connections expire after 60 seconds idle by default, but active commands or transfers do not count as idle. Expired, lost, and explicitly closed IDs fail distinctly and are never silently reconnected.

All SSH operations advertise write=true, including remote reads, because using client-local SSH credentials is privileged external access. They therefore require DSH write approval, OpenKapsel Plan/Context, and an administratively writable mapping. Never automatically replay ssh_execution_uncertain after a transport loss. Paramiko is required only on the mapping client, not by this DSH plugin.

The bundled openkapsel-rest skill includes references/ssh-rpc.md.

Atomic plan batches

On a server advertising capabilities.context.plan_creation.atomic_subplans, use kapsel_http once with method: "POST", endpoint: "context" and json containing type: "plan", taskname, content, optional request_id, and subplans: [{"ref":"code","content":"Implement"},{"ref":"tests","content":"Verify"}]. The response returns the parent id and every child's id/plan_id/ref. Pass a returned child ID to subsequent mutation tools; no extra Plan creation is necessary. Do not put endpoint fields beside json.

The server creates the complete batch atomically. Reuse the same request_id and request only to recover an uncertain response, not to start new work. The plugin does not automatically replay failed writes or change its approval policy. See the bundled Context reference for direct-child limits and idempotency rules.

OAuth browser consent is separate from this REST bridge

OpenKapsel OAuth-capable MCP clients use the independent browser consent page. A user verifies ownership there with the current control token for the exact linked configuration; administrator login is not required. This plugin continues using its existing REST credentials and never submits them to a browser form or client callback. OAuth access/refresh credentials remain separate from REST credentials. Updating server consent does not require a new plugin transport or new tool. If you already have an authenticated OAuth or Static MCP connection on another platform, the server-side credential_get tool can export the current REST workspace URL/control token for configuring this plugin, and credential_renew can rotate that REST pair inside the normal renewal window without changing the MCP credential.

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