minta
The context quality layer for AI agents — memory that checks itself: lifecycle governance, calibrated confidence, and staged claim gates. Local-first, MCP 13 tools, DeepSeek Harness plugin.
AI 代理的上下文质量层 — 自我检查的记忆：生命周期治理、校准置信度和分阶段声明门控。本地优先，MCP 19 个工具，DeepSeek Harness 插件。
How to install
dsh plugin add github:xinchen03/minta About
Your AI remembers. Minta tells you when it remembers <i>wrong</i> — and what it's allowed to claim. ⭐ New (2026-08): **open-core v2** — memory engine + research compliance engine + expert domain pack, now with **DeepSeek Harness integration (verified)**. --- Why Minta **Other memory systems store. Minta verifies what remains true.** Memory has three tenses: it *was* true, it *is* true, and it is *still* true today. Almost every memory system optimizes the first. Minta is built for the second and third. | What others do | What Minta does | |---|---| | "Here are your relevant memories" | "2 of t…
Recommendation signals
Meta
- License
- Apache-2.0
- Language
- Python
- GitHub stars
- 11
- mo. downloads
- –
- Last push
- 2026-09-19
- Created
- 2026-05-31
Links
Basic safety check
- Findings
- curated 收录但无 npm 包/安装命令
- Sources
- curated:awesome-dsh-plugin/awesome-dsh-plugin
- Topics
- ai-memory, ai-memory-management, data-governance, deepseek-harness, dsh-plugin, fastapi, knowledge-management, lifecycle, lifecycle-archived, lifecycle-maintenance, llm-agents, mcp, memory-management, memory-quality, research-tools, retrieval-augmented-generation, self-hosted
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