dsh-expert-orchestrator
Multi-agent orchestration agent preset for DeepSeek Harness featuring PM triage, expert delegation, DAG taskboards, and gated delivery.
Install
$ dsh plugin --profile web add github:mario841859784/dsh-expert-orchestratorPlugin 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.
Key Capabilities
- Per-turn request triage and five-anchor self-check to prevent task drift
- PM-first decomposition, dependency mapping, and acceptance criteria formulation
- Delegated execution using merged expert rosters via list_experts and summon_expert tools
- Zero-dependency Python DAG task scheduler and file-based mailbox message bus
- Independent reviewer gate and PM checkpoint before final commits
- Continuous experience pooling capturing up to 3 reusable lessons per completed task
- Support for custom experts, downloadable source packs, and persona layering
Useful For
- Managing complex multi-step software development tasks without manual sub-agent micro-management
- Running domain-specific development tasks requiring distinct planner, coder, and reviewer personas
- Maintaining consistent project memory and engineering lessons across multiple agent execution turns
Who It Fits
- DeepSeek Harness developers coordinating multi-step coding workflows
- Software engineers wanting structured multi-agent task planning and validation gates
- Teams requiring specialized sub-agent delegations and DAG-based task boards
Documented Limitations
- Requires Python 3 on the host system to run taskboard.py and bus.py tools
- Settings UI button for purging deleted custom experts is pending implementation
- Upstream expert source packs must be fetched and verified separately after installation
- Requires DeepSeek Harness engine version >=0.1.7-alpha.2 <0.2.0-0
DSH Compatibility
Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.
Security Signals
Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.
package.json declares 0 runtime, 0 development, 1 peer, and 0 optional dependencies.
package.json declares DSH bundle metadata.
GitHub reports the repository license as MIT.
A root package.json was captured and can be inspected by the registry.
Public GitHub source metadata is available for this registry snapshot.
Source & Registry Notes
Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.
- Source repository
- mario841859784/dsh-expert-orchestrator
- Registry source
- GitHub · dsh-plugin topic
- Registry classification
- Plugin
- Source checked
- c48db73 · 2026-10-24
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
- 4GitHub stars
- Forks
- 0
- Open issues
- 0
- Last commit
- 2026-10-23
- Last release
- 2026-10-18
Related DSH Plugins
Ranked by overlapping capabilities, use cases, plugin type, categories, and DSH profile.
Persistent multi-model agent teams with dynamic DAG orchestration, run monitoring, and token insights for DeepSeek Harness.
View plugin →Multi-agent team collaboration plugin for DeepSeek Harness enabling coordinated sub-agents, dependency-aware task graphs, and web UI monitoring.
View plugin →Native SQLite-backed task management and project board bundle with Web UI and Agent workflow tools for DeepSeek Harness.
View plugin →Ontology-first research preset and epistemic loop plugin for DeepSeek Harness.
View plugin →