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Product · harnessserver

HarnessServer

HarnessServer runs in the Agent host environment, staging compiled Skills, SOPs, and Rules into Workspaces by role, and serving REST and MCP endpoints for runtime context on demand. In standalone deployment, REST and MCP-SSE run on the same HTTP port; conversation WebSockets are optional in standalone mode. It does not ingest enterprise knowledge directly; managerial memory is disabled by default and restricted to authorized Agents. It can operate standalone on local content or connect to LarkScout for upstream synchronization and search.

HarnessServer (Content Delivery for Agents) architecture diagram for enterprise digital workforce infrastructure
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HarnessServer

Content Delivery for AgentsContext delivery and capability distribution component for Agent host environments

Deliver Skills, SOPs, and context to Workspaces by role—main configuration staged in advance, SOPs pulled per action.

Pre-Staged
Main config and Skills ready in advance
Role-Based
coordinator / worker distribution
REST + MCP
Colocated on same port in standalone mode

Typical pains

  1. Each Workspace requires manual, error-prone configuration of prompts and tools
  2. Newly onboarded Agents waste cycles exploring the environment before becoming productive
  3. New Agent rollouts lack a standardized, repeatable onboarding pipeline

Core value

Which agents each skill is deployed to

Once a skill is approved, HarnessServer deploys it to the matching agents. The content detail panel in AULO shows which agents it is deployed to, and at which version.

Content detail: deployed agents and versions

Capabilities

Context supply

Dual-Side On-Demand InjectionExecution-tier Workers pull context indices on task start or refresh; orchestration-tier Coordinators pull actionable SOPs on action signals without pre-injecting full SOP texts into main configs
Pre-Staged WorkspacesUpon delivery/approval, Workspaces are pre-staged with main configs, deployed Skills, and visible context indices; detailed SOPs are pulled on demand per action
Context File GenerationGenerates framework-native CLAUDE.md / AGENTS.md / NODAL.md; main configs may inline a shared section so the file stays byte-stable for vendor prompt cache context files
Task Context SnapshotRecords the visible content set and versions at task start and stamps Content Version on traces. The snapshot is audit metadata, not a byte-frozen copy of the content tree
Bitemporal Managerial MemoryWhen enabled, stores valid time and transaction time and supports point-in-time queries. Off by default; only Agents with memory_access may query it, not unauthorized Workers

Does / does not

Does
  • Dual-side on-demand context injection: Workers pull task context indices; Coordinators pull SOPs per signal
  • Role-based workspace pre-provisioning: approved Skills deploy automatically; SOP / Rule sync by permission
  • SkillScan pre-deploy static analysis: optional Python AST danger-pattern and dependency scanning
  • Context snapshot and Content Version provenance: versions stamped on traces for context-change audit
  • Framework context file generation: CLAUDE.md / AGENTS.md / NODAL.md
  • Standalone and LarkScout integration: REST + MCP on its own, or connected to the LarkScout knowledge base
Does not
  • Does not ingest raw documents or compile knowledge (upstream Claim compilation is LarkScout)
  • Does not provide an unauthenticated global shared memory pool (bitemporal managerial memory is isolated and authorized-Agents-only)
  • Does not manage OS-level process sandboxes (container and syscall controls belong to NodalOS)

By role

Technology leaders

Standardizes Agent onboarding, shifting Workspaces from manual scripting to role-based pre-staging and on-demand retrieval

Compliance & risk

Managerial memory is disabled by default and strictly isolated to authorized Agents

Business leaders

Bridges the final mile between knowledge compilation and execution, eliminating Agent onboarding guesswork

Integrations

LarkScout upstream knowledge sync and search (enabled with endpoint and credentials)NodalOS Workspace managementFramework-native Agent context filesServes conversation channels to AULO in standalone mode; conversations bypass this service when NodalOS is connected

Related products

LarkScoutEnterprise knowledge platform for AI AgentsNodalOSHeterogeneous multi-Agent hosting platform and governance substrate (OS layer)AULOOne workspace for human–Agent work: inbox, conversations, council, and governance actions

Next steps

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