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
sgme
freehul/sgme
sgme is a tool for DeepSeek Harness. Your AI will remember you from now on — Shiguang Memory Engine; it remembers everything you've chatted about and proactively cares about you.
- Stars
- 13
- Forks
- 0
- Issues
- 0
- Update
- 38 days
REVIEW SCORECARD
Review Scorecard
7.5/10Average
License compliance9.0
Engineering quality6.0
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
6.6/10Consider
Promising Chinese-first memory engine for AI agents, but install steps and engineering evidence are missing from the REA
Code quality6
README shows no tests, CI badges, or repository structure beyond a Python 3.11+ badge and an architecture image, so engineering rigor cannot be verified.
Security6
No install command or permission details are given, and the README only claims 'all local, all traceable', so risk cannot be assessed from the provided information.
Utility8
Addresses a widely felt pain point (AI forgetting context across sessions and models) with concrete features like capture/distill/inject, traceable memory, and unified search.
Maintenance8
Last updated 2026-08-26, not archived, MIT licensed, and the README describes an extensive feature set, indicating ongoing development.
Documentation5
README explains concepts and selling points well but omits installation instructions, configuration, and usage examples, so a user cannot actually get started from it.
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 sgme used for?
Your AI will remember you from now on — Shiguang Memory Engine; it remembers everything you've chatted about and proactively cares about you.
How popular is sgme?
sgme has 13 stars and 0 forks on GitHub, last updated 2026-08-26.
What license does sgme use?
sgme is distributed under the MIT license.
Is sgme compatible with DeepSeek Harness?
sgme 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-memory、knowledge-graph、memory、memory-engine、memory-management、personal-assistant、rag。
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
agent-apiagent-frameworkagent-harnessai-agents
Agents & sessionsSkill
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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