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Veyra

Persistent, evidence-backed engineering memory and optional AST code intelligence for DeepSeek Harness.

UI & ProductivityTerminal & TUIDeveloper ToolsSkills & WorkflowsRemote Execution
2GitHub Stars1ForksUpdated2026-10-17

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 provides a Dual-Brain architecture for DeepSeek Harness coding agents, combining project-isolated, persistent engineering memory with optional structural AST code intelligence. It records causal engineering lessons with evidence anchors, offers hybrid search (FTS5 BM25, semantic tokens, graph cohesion), flags stale records when code changes, and provides interactive visualization surfaces including an SVG Network Graph and a Knowledge Observatory.

Key Capabilities

  • Captures session events and distills lessons into candidate and derived memory records
  • Provides causal facet modeling (symptom, rootCause, remedy, verifiedOutcome) with contradiction tracking
  • Performs hybrid search combining FTS5 BM25, symbol boosts, semantic overlap, and graph affinity
  • Monitors code changes to detect stale memory records and adjust retrieval ranking
  • Integrates optional codebase-memory-mcp binary for AST-level symbol search and call-graph tracing
  • Exposes human inspection surfaces including slash commands, Knowledge Observatory, and Web Network Graph

Useful For

  • Preserving architectural lessons, refactoring decisions, and debugging remedies across agent sessions
  • Tracing AST call graphs and symbol hierarchies during complex codebase explorations
  • Auditing and reviewing conversational findings before promoting them into canonical repository knowledge

Who It Fits

  • Developers using DeepSeek Harness for multi-session software development and maintenance
  • Engineers working in complex or legacy codebases requiring structured memory and symbol indexing

Documented Limitations

  • Requires Node.js >= 22.5.0 and < 25.0.0 due to built-in node:sqlite dependency
  • Code Intelligence tools (cbm_*) require an external codebase-memory-mcp binary, entering degraded mode if missing
  • Settings UI and interactive Network Graph require the DeepSeek Harness web profile

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
fb1e3af · 2026-10-19

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
2GitHub stars
Forks
1
Open issues
1
Last commit
2026-10-17
Last release
2026-10-17
For maintainers

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