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 & sessionsSkill
MemOS
MemTensor/MemOS
MemOS is a tool for DeepSeek Harness. 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.
- Stars
- 11k
- Forks
- 1k
- Issues
- 65
- Update
- 67 days
REVIEW SCORECARD
Review Scorecard
8.4/10Good
License compliance9.0
Engineering quality9.0
Content completeness8.0
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
7.6/10Consider
Strong, actively maintained memory layer for DeepSeek Harness, but install steps and security posture are unverified fro
Code quality7
README shows a structured multi-entry-point architecture, TypeScript codebase, and benchmark/eval repos, but no test or CI details are visible.
Security6
No install command or permission model is provided, so risk from the plugin's local storage and background capture cannot be assessed; neutral score given.
Utility9
Solves a real, common agent pain point with persistent memory, hybrid retrieval, and cross-task skill reuse, backed by reported 35.24% token savings and benchmark gains.
Maintenance9
Last updated 2026-08-26 with a dated news timeline through 2026-08-17 and an active Discord/X presence, indicating ongoing development.
Documentation7
README offers rich feature descriptions, benchmarks, and links to docs and a quick-start section, but the install command is listed as unknown and setup steps are not shown in the excerpt.
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 MemOS used for?
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.
How popular is MemOS?
MemOS has 10,996 stars and 1,006 forks on GitHub, last updated 2026-08-26.
What license does MemOS use?
MemOS is distributed under the Apache-2.0 license.
Is MemOS compatible with DeepSeek Harness?
MemOS 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 typeSkill
Feature categoryAgents & sessions
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:skills、chatgpt、long-term-memory、mcp、memory、memory-management、rag。
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Structure check pending
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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
agent-skillsagentic-workflowclaude-codeclaude-skills
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dsh-mnemon
omdsh-dev
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Structure check pending
agent-memorycontext-managementcross-session-memorydeepseek-harness