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-model-surplus
itchenshi/dsh-model-surplus
dsh-model-surplus is a tool for DeepSeek Harness. DeepSeek Harness plugin: model usage, plan quota and account balance in the session header — OpenCode Go plan usage (rolling/weekly/monthly) with the selected model's monthly cap, Command Code 5-hour/weekly windows with remaining credits, and DeepSeek account balance.
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REVIEW SCORECARD
Review Scorecard
7.8/10Average
License compliance9.0
Engineering quality5.4
Content completeness7.0
Repository scale7.0
Maintenance activity9.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
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Open repositoryPROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is dsh-model-surplus used for?
DeepSeek Harness plugin: model usage, plan quota and account balance in the session header — OpenCode Go plan usage (rolling/weekly/monthly) with the selected model's monthly cap, Command Code 5-hour/weekly windows with
What license does dsh-model-surplus use?
dsh-model-surplus is distributed under the MIT license.
Is dsh-model-surplus compatible with DeepSeek Harness?
dsh-model-surplus 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 confidenceMedium
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:No valid category tags。
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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
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🥇 The strongest free web search plugin for DeepSeek Harness, and the search bridge for every model without native web access. Free, no signup, no API key. Ask the web or X, get structured JSON evidence. | 🥇 The strongest free web search plugin for DeepSeek Harness across the web, free with no signup and no API key. Adds search for models without web access; ask the web or X and get structured JSON evidence (search, scrape, cite).
Validation record available
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