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dsh-rsi

Local memory and incremental skill evolution plugin for DeepSeek Harness coding agents.

UI & ProductivityDeveloper ToolsSecurity & PolicySkills & Workflows
2GitHub Stars0ForksUpdated2026-10-14

Install

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Plugin Overview & Capabilities

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dsh-rsi is a local auto-learning plugin for DeepSeek Harness. It passively captures session events and tool call trajectories to asynchronously extract hierarchical Chat Memory (L0 to L3) and evolve reusable Skills (SKILL.md and assets). Memory is recalled via hybrid SQLite search within a character budget before model steps, while generated skills are served on demand through the official dsh Skill Provider.

Key Capabilities

  • Captures real execution trajectories and session events without altering the core agent loop
  • Extracts hierarchical Chat Memory with atomic deduplication, updates, and profile generation
  • Evolves reusable Skills incrementally using an automated Review Agent with version control and rollback
  • Provides hybrid memory retrieval combining SQLite FTS5, vector search, and RRF ranking under token budgets
  • Integrates with the official dsh Skill Provider with on-demand skill text and asset loading
  • Offers workspace and global isolation with an integrated web UI dashboard in dsh plugin details

Useful For

  • Accumulating project conventions and persistent user preferences across coding agent sessions
  • Automatically converting repetitive multi-step tool workflows into versioned, reusable skills
  • Reviewing, editing, and managing historical memory notes and learned skills directly within the dsh interface

Who It Fits

  • Developers using DeepSeek Harness who want cross-session project memory
  • Engineers seeking automated prompt and skill optimization for repetitive agent tasks

Documented Limitations

  • Requires Node.js 24 or higher and DeepSeek Harness version 0.2.0-rc.2 (Cordis ~4.0.4)
  • Marked as private and not published to npm; must be cloned, built, and installed locally
  • Background learning tasks consume model request quotas and associated LLM inference costs
  • Scope classification and memory conflict resolution rely on LLM inference and may occasionally misclassify
  • L2 project scenes and L3 profiles cannot be edited directly; skill resource files are read-only in the UI

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

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Dependency Counts

package.json declares 10 runtime, 4 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Not Declared

GitHub did not report an SPDX license for this repository snapshot.

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Package Manifest Available

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Prepare Script Detected

package.json declares a prepare lifecycle script that may run during relevant package installation workflows.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

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Source repository
lsmax-72/dsh-rsi
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
62e7ccb · 2026-10-15

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
2GitHub stars
Forks
0
Open issues
0
Last commit
2026-10-14
Last release
No release detected
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