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minta

Context quality and memory governance layer for AI agents with DeepSeek Harness integration and MCP support.

VisionUI & ProductivityDeveloper ToolsSecurity & PolicySkills & WorkflowsRemote Execution
11GitHub Stars3ForksUpdated2026-10-07

Install

$ # DeepSeek Harness: dsh plugin --profile web add @xxinchen/dsh-plugin (or connect via MCP → docs/dsh-integration.md)

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

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Minta is a local-first memory governance and context quality engine designed for AI agents. Rather than simply accumulating context history, Minta actively audits agent memories for staleness, contradictions, redundancy, and unverified claims. It integrates into DeepSeek Harness via an installable plugin and preset, connecting via MCP to deliver curated memory tools, conformal confidence calibration, and staged workflow claim gates.

Key Capabilities

  • Context lifecycle management detecting stale, conflicting, redundant, or fragmented memories
  • DeepSeek Harness integration via MCP client bridge and custom agent presets
  • Inbox and counter-example capture for human-in-the-loop rule promotion
  • Calibrated confidence gating preventing over-claiming in agent reasoning and research tasks
  • Local vector semantic search with type-specific decay models

Useful For

  • Maintaining reliable, deduplicated, and up-to-date working memory across agent sessions
  • Preventing AI hallucination and contradictory reasoning using staged claim gates
  • Managing research literature checklists and compliance evaluations inside DeepSeek Harness workflows

Who It Fits

  • AI agent developers requiring structured memory lifecycle governance
  • DeepSeek Harness users needing long-term memory with automatic conflict detection
  • Researchers managing complex workflows with strict compliance checklist requirements

Documented Limitations

  • Requires running the local Minta Python backend service and embedding models
  • Write-path memory operations require configured and registered API keys

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

License Declared

GitHub reports the repository license as Apache-2.0.

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Package Manifest Not Found

No root package.json was captured in the latest GitHub snapshot.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
xinchen03/minta
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
4255d6e · 2026-10-14

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
11GitHub stars
Forks
3
Open issues
3
Last commit
2026-10-07
Last release
No release detected
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