Agents & sessionsSkill
EverOS
EverMind-AI
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
Structure check pending
agent-memoryagentic-aiaichats
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Agents & sessionsPlugin
dsh_workflow
omdsh-dev/dsh_workflow
dsh_workflow is a tool for DeepSeek Harness. Bring Claude Code's UltraCode mode to DSH, upgrading DSH's one-shot multi-Agent scheduling into a generatable, savable, governable, observable, and recoverable Workflow layer
- Stars
- 106
- Forks
- 4
- Issues
- 2
- Update
- 50 days
REVIEW SCORECARD
Review Scorecard
7.7/10Average
License compliance9.0
Engineering quality7.2
Content completeness6.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
Worth AI Review
8.0/10Recommended
A well-documented, actively maintained DSH workflow layer with strong tests and governance features, worth installing fo
Code quality8
README cites 179 passing tests, a KodaX parity matrix, versioned capsule schema, and deterministic discovery with pre-execution validation of symlinks, path escapes, and oversized files.
Security7
The plugin advertises capability-only VM execution, JSON boundaries, deterministic guards, tiered approvals, and explicit confirmation for trusted-local modules, though no independent audit or secret-handling details are shown.
Utility9
It addresses a real pain point by turning one-off multi-agent dispatch into reusable, resumable, auditable workflows with persistent run graphs, effect caching, and cost tracking.
Maintenance8
Last updated 2026-08-13, not archived, MIT licensed, and pinned to a specific DSH snapshot (0.0.1-rc.2) with a compatibility.json, indicating active but pre-release tracking.
Documentation8
The README provides install commands, expected config output, concrete slash-command and tool examples, a directory layout for run persistence, and links to a parity matrix and examples.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
PROJECT READMEREADMEExpandCollapse
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Open repositoryINSTALL REFERENCE
Install reference
dsh plugin --profile web add "github:dsh-external/dsh_workflow#main"This command was extracted from an explicit README install reference and is display-only; the DSH host will not execute it automatically.
PROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is dsh_workflow used for?
Bring Claude Code's UltraCode mode to DSH, upgrading DSH's one-shot multi-Agent scheduling into a generatable, savable, governable, observable, and recoverable Workflow layer
How popular is dsh_workflow?
dsh_workflow has 106 stars and 4 forks on GitHub, last updated 2026-08-13.
What license does dsh_workflow use?
dsh_workflow is distributed under the MIT license.
Is dsh_workflow compatible with DeepSeek Harness?
dsh_workflow is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
Classification evidence
Project typePlugin
Feature categoryAgents & sessions
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-orchestration、multi-agent、workflow。
Agents & sessionsSkill
MemOS
MemTensor
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Structure check pending
agentagentic-aiaiai-agents
Agents & sessionsPlugin
harnessrouter
HarnessRouter
HarnessRouter Community Edition: the self-hosted, Apache-2.0 edition of the unified interface for agent harnesses. Run Codex, Claude Code, Hermes, PI, DSH, and more through one API, with sessions, streaming, files, cancellation, and failure handling. Implements the Unified Harness Protocol (UHP), an open standard. Your keys, your infrastructure.
Structure check pending
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memsearch
zilliztech
A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex, DSH), backed by Markdown and Milvus.
Structure check pending
agentagent-memoryai-agentsclaude-code
Agents & sessionsPlugin
Tianshu-harness
huiliyi37
Tianshu is a terminal coding agent runtime built on the harness project (Tui X Gui), with prefix-cache engineering optimization for DeepSeek V4 (measured steady-state hit rate of 97–99% in long sessions) and deep adaptation. It breaks out of the traditional AI coding assistant's limit of treating the LLM merely as a tool, and is built on a cognitive virtual machine (CVM), a self-awareness layer and Stigmergy self-decaying memory, making the AI a development partner with independent judgment and cognitive safeguards.
Structure check pending
ai-agentcoding-agentcontext-managementdeepseek
Agents & sessionsPlugin
graph-memory
adoresever
Deepseek Harness, Openclaw knowledge graph memory plugin. Invited to present at Tsinghua University seminar in April 2026. Knowledge Graph + Memory；Knowledge Graph Context Engine for OpenClaw — extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
Structure check pending
claude-codecodexdeepseekdeepseek-harness