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-mneme
modusensus/dsh-mneme
dsh-mneme is a tool for DeepSeek Harness. ð§ The memory that dreams â self-evolving memory for DeepSeek Harness: your AI remembers across sessions, consolidates in its sleep, forgets what matters less, and grows smarter over time. Fully offline & private.
- Stars
- 104
- Forks
- 12
- Issues
- 7
- Update
- 17 days
REVIEW SCORECARD
Review Scorecard
8.3/10Good
License compliance9.0
Engineering quality7.5
Content completeness8.0
Repository scale7.0
Maintenance activity9.0
â 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-tested, actively maintained offline memory plugin for DSH with strong docs and a credible privacy stance.
Code quality8
README shows 916 passing tests, a CI badge, Codecov coverage, a stress-test script, and a documented srcâlib sync workflow, indicating real engineering rigor.
Security7
Claims fully offline operation, no telemetry, no API keys required, and local Markdown storage, but the default embedProvider is 'openai' so network use is opt-out rather than opt-in; no code was inspected.
Utility9
Addresses the common cross-session amnesia pain point with concrete before/after examples, plus deduplication, conflict freezing, audit replay, and hybrid retrieval.
Maintenance8
Last updated 2026-08-24, not archived, with a roadmap showing v0.3âv0.7 shipped and v0.8 planned for late September.
Documentation8
Bilingual README with install command, 5-minute quickstart, config table, architecture diagram, screenshots, and links to dedicated docs for entities, semantics, local models, and migration.
Generated by AI after reading the project README â 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 @modusensus/dsh-mnemeThis 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-mneme used for?
ð§ The memory that dreams â self-evolving memory for DeepSeek Harness: your AI remembers across sessions, consolidates in its sleep, forgets what matters less, and grows smarter over time. Fully offline & private.
How popular is dsh-mneme?
dsh-mneme has 104 stars and 12 forks on GitHub, last updated 2026-09-16.
What license does dsh-mneme use?
dsh-mneme is distributed under the MIT license.
Is dsh-mneme compatible with DeepSeek Harness?
dsh-mneme 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-memoryãagent-memory-systemãheat-memoryãmemory-consolidationãmemory-evolutionãpersistent-memoryãsemantic-searchãvector-searchã
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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
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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 97â99% 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 + MemoryïŒKnowledge Graph Context Engine for OpenClaw â extracts structured triples from conversations, compresses context 75%, enables cross-session experience reuse
Structure check pending
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