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-from-scratch
tsrigo/dsh-from-scratch
dsh-from-scratch is a tool for DeepSeek Harness. A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.
- Stars
- 10
- Forks
- 1
- Issues
- 0
- Update
- 46 days
REVIEW SCORECARD
Review Scorecard
7.7/10Average
License compliance9.0
Engineering quality6.2
Content completeness7.0
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
7.8/10Consider
A well-documented educational tutorial for building a DSH-style agent harness, but not a drop-in plugin for production u
Code quality8
README documents pinned pnpm version, Node 22 requirement, deterministic examples, and generation checks for source ranges and request reconstruction, indicating engineering rigor.
Security7
The demo runs a real DeepSeek model only when DEEPSEEK_API_KEY is set and otherwise replays stored decisions offline, with no download-and-execute or plaintext secret patterns visible.
Utility8
It teaches agent-loop, context projection, session log, and long-task continuation mechanisms through runnable TypeScript and Python implementations, which is valuable for learners but explicitly not a compatibility layer for production DSH.
Maintenance8
Last updated 2026-08-17, not archived, MIT licensed, and the README describes an active bilingual tutorial site and generation pipeline.
Documentation8
README provides bilingual content, quick-start commands, demo instructions, chapter summaries, and site generation details, though the install command is listed as unknown.
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 repositoryPROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is dsh-from-scratch used for?
A runnable TypeScript tutorial that builds a minimal DeepSeek-style agent harness from scratch.
How popular is dsh-from-scratch?
dsh-from-scratch has 10 stars and 1 forks on GitHub, last updated 2026-08-17.
What license does dsh-from-scratch use?
dsh-from-scratch is distributed under the MIT license.
Is dsh-from-scratch compatible with DeepSeek Harness?
dsh-from-scratch 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:session-log。
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Structure check pending
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Structure check pending
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Structure check pending
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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
ai-agentcoding-agentcontext-managementdeepseek
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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