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
minta
xinchen03/minta
minta is a tool for DeepSeek Harness. The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 19 tools, DeepSeek Harness plugin.
- Stars
- 5
- Forks
- 2
- Issues
- 2
- Update
- 59 days
REVIEW SCORECARD
Review Scorecard
7.6/10Average
License compliance9.0
Engineering quality5.8
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
6.8/10Consider
Promising self-verifying memory layer for agents, but limited stars and unverifiable claims warrant caution before insta
Code quality6
README shows a structured Python/FastAPI project with CLI, Docker, and requirements files, but no test suite, CI config, or code samples are visible to confirm engineering rigor.
Security6
Install path is a standard pip/plugin command and local-first design is stated, but the README requires generating and registering API keys and mentions an auto-downloaded embedding model, with no security policy or audit details given.
Utility8
Addresses a real and common pain point for LLM agents — stale, conflicting, and over-claimed memories — with concrete features like lifecycle scans, conflict surfacing, and token-budgeted context packs.
Maintenance7
Last updated 2026-08-24 with an 'open-core v2' release noted for 2026-08, indicating active development, though only 5 stars suggests a small user base.
Documentation7
README is thorough with quick-start commands, Docker instructions, configuration steps, and multilingual links, but some claims (benchmarks, 19 vs 13 MCP tools) are inconsistent and unverified.
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 repositoryINSTALL REFERENCE
Install reference
dsh plugin --profile web add @xxinchen/dsh-pluginThis 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 minta used for?
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 19 tools, DeepSeek Harness plugin.
How popular is minta?
minta has 5 stars and 2 forks on GitHub, last updated 2026-08-24.
What license does minta use?
minta is distributed under the Apache-2.0 license.
Is minta compatible with DeepSeek Harness?
minta 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:ai-memory、ai-memory-management、data-governance、mcp、memory-management、memory-quality、research-tools。
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
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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 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 & sessionsSkill
modsearch
liustack
🥇 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