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Alternatives to dsh-codex-mcp

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    • A
      license
      Not graded
      quality
      A
      maintenance
      Exposes a running DeepSeek Harness as an MCP endpoint so any other agent or script can create workspaces and sessions, hand coding tasks to the DSH agent, read and write files, run shell commands, and invoke permitted harness tools under the same sandbox, transcript, and permission policy as the DSH UI.
      1
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Lets Claude Code, Codex, or any MCP client drive DeepSeek Harness as a long-lived coding agent: starting and resuming conversations, dispatching tasks in the background, streaming live output and reasoning stats, interjecting or interrupting mid-turn, handling approval prompts, and collecting results later. Sessions persist by ID, so work survives process restarts and can be handed back to a DSH GUI when needed.
      225 npm
      15
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Exposes a locally installed DeepSeek Harness as an MCP server so Codex can dispatch real tasks (with the harness's own skills, memory, and workspace) and check its own wiring, returning answers plus resumable session IDs. Every call is recorded in a per-call, auditable JSONL log.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Serves a loopback-only MCP endpoint that lets a same-machine client start, steer, and cancel DSH Sessions it knows by id, list their durable subagent trees, deliver messages to continuable children, and read durable event logs with paging and chunked oversized-event recovery. It maps every call onto native Session Controller and subagent services without owning task state, starting a second listener, or registering model-facing tools.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Serves a local dsh workspace as a protected Streamable HTTP MCP endpoint, letting authenticated web AI agents read, search, patch, inspect, and operate the project, with optional shell commands, LSP support, and public tunneling.
      MIT