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Veyra

Persistent, evidence-aware engineering memory and unified hybrid search for DeepSeek Harness.

UI & ProductivityTerminal & TUIDeveloper ToolsSkills & WorkflowsRemote Execution
1GitHub Stars0ForksUpdated2026-09-29

Install

$ dsh plugin --profile web add @lovedolove/veyra

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.

source-grounded
Veyra is an engineering intelligence plugin for DeepSeek Harness that equips coding agents with persistent, project-isolated memory and hybrid search (SQLite FTS5 BM25 + semantic). It automatically captures session turns into candidate memories, distills durable engineering lessons into derived memory, supports causal knowledge modeling, and provides slash commands, agent tools, and a host-native Network Graph Web UI.

Key Capabilities

  • Automatic observation of session turns into candidate and derived memories
  • Unified hybrid search over project engineering memory and RAG documentation
  • Causal knowledge modeling (symptom, root cause, remedy, verified outcome)
  • Contradiction detection and evidence anchor tracking
  • Project-isolated SQLite storage with opt-in cross-project reusable memory
  • Native DSH UI integration with Network Graph WebUI at /veyra and Settings configuration
  • Agent toolset (veyra_remember, veyra_recall, veyra_inspect, veyra_forget, veyra_promote)
  • Bundled skills for Veyra operational guidance and legacy project onboarding

Useful For

  • Retaining architectural decisions, bug fixes, and debugging lessons across different coding sessions
  • Onboarding coding agents onto legacy or unfamiliar codebases via baseline memory building
  • Performing hybrid semantic and keyword search across internal documentation and past session insights
  • Inspecting and managing memory provenance and authority levels (candidate, derived, canonical)

Who It Fits

  • Developers using DeepSeek Harness for multi-turn and multi-project software engineering
  • Teams needing persistent context and architectural memory retention across agent sessions
  • Engineers working on complex legacy codebases requiring systematic knowledge capture

Documented Limitations

  • Requires Node.js versions >=22.5.0 <25.0.0 due to reliance on built-in node:sqlite
  • Compatible with DeepSeek Harness versions >=0.1.2-rc.1 <0.2.0-0
  • Settings UI and Network Graph interactive pages require the DSH web profile
  • Canonical authority is never assigned automatically and requires explicit user promotion

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.

Dependency Counts

package.json declares 0 runtime, 0 development, 2 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

info
License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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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
LoveDoLove/Veyra
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin
Source checked
8af3ee2 · 2026-09-29

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
1GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-29
Last release
2026-09-29
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