DeepSeek Harness Plugins
DeepSeek Harness PluginIndexed

deepseek-rlm

Persistent IPython workspace, durable state snapshots, and native recursive subagents for DeepSeek Harness.

Developer ToolsSecurity & PolicySkills & WorkflowsRemote Execution
0GitHub Stars0ForksUpdated2026-09-01

Install

$ dsh plugin --profile <profile> add -w /absolute/path/deepseek-rlm-dsh-rlm-bundle-0.1.0-preview.0.tgz

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
deepseek-rlm is a Cordis plugin bundle that equips DeepSeek Harness agents with persistent IPython/Jupyter execution kernels, durable state snapshots, and native recursive subagent delegation. It integrates directly into the DeepSeek Harness agent loop, allowing agents to preserve Python workspace state across tool invocations and spawn subagents via native recursive language model (RLM) primitives.

Key Capabilities

  • Persistent IPython/Jupyter kernel per active DeepSeek Harness agent
  • Durable variable snapshots using digest-authorized serialization with dill
  • Native recursive subagent spawning (rlm primitive) with enforced depth and lineage
  • Bidirectional agent-to-parent and parent-to-child messaging via agent_message
  • DSH tool execution routing directly from Python scripts via dsh_tools.call()

Useful For

  • Multi-step Python data analysis and coding sessions requiring variable persistence between prompt turns
  • Delegating focused sub-tasks (e.g. debugging, investigation) to recursive child agents without spawning detached runtimes
  • Snapshotting and restoring in-memory Python state without re-executing historical code cells

Who It Fits

  • DeepSeek Harness developers building multi-agent workflows
  • Data scientists and engineers requiring stateful REPL execution inside DSH agents
  • AI automation engineers leveraging recursive subagent patterns

Documented Limitations

  • Targets DSH 0.1.2-alpha.3 specifically and requires two bundled host patches
  • IPython operates with OS-level authority and is not a sandboxed execution environment
  • Packages are distributed as buildable local tarballs and require Python 3.11 with uv

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

No automated security signals have been published yet.

Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
OpenCnid/deepseek-rlm
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
0e9f030 · 2026-09-11

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
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0
Open issues
0
Last commit
2026-09-01
Last release
No release detected
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