Agent harness for your engineering ecosystem

Extend Exemplar beyond console and MCP with a governed control plane for custom agents, token economics, and multi-step autonomous workflows. Reach out to scope deployment and licensing.

Overview

Control plane

Gateway, policy, and audit for every agent channel

Memory & context

Shared estate truth across sessions and tools

Governance

Cost intelligence, evals, and guardrails

Platform features

Memory through guardrails for production agents

Memory

Durable organizational memory—services, owners, policies, dependencies, and incident history—that agents and operators share

Graph-backed estate map linked to catalog and Context Lake
Persistent recall across sessions, agents, and channels
Ownership, tier, and dependency context on every turn

Skill Management

Reusable operating methods—triggers, procedures, judgement checks, and quality bars—that turn tacit team know-how into agent-ready skills

Versioned skill definitions with triggers and required context
Progressive disclosure (metadata → instructions → resources)
Judgement checks and examples before high-impact actions

Prompt Management

Centralized system prompts, templates, and format contracts—versioned, reviewed, and deployed without redeploying every agent

Versioned prompt templates per agent role and workflow
Structured output contracts and refusal patterns
Review and rollout without editing IDE-local files

Gateway

A unified gateway for LLM providers, MCP tool surfaces, and agent runtimes—with one identity, policy layer, and audit trail

Route LLM traffic through governed endpoints
Expose platform capabilities as MCP tools (Cursor, Claude, custom agents)
Same tool surface for console operators and autonomous agents

Context Management

Connectors and retrieval policies that assemble the right live context per turn—freezes, incidents, scans, and catalog state

Integration connectors for Git, cloud, security, ticketing, and observability
Per-turn context assembly with compaction and relevance ranking
Active incident, freeze, and risk posture injected automatically

Cost Intelligence

Token spend observability across IDEs, background agents, and orchestrated workflows—with attribution you can act on

Spend by agent, workflow, team, and model
IDE and background agent session attribution
Trends, anomalies, and runaway-loop detection

Evals

Evaluation suites for prompts, skills, and agent workflows—regression gates before changes reach production traffic

Scenario-based evals for triage, change proposals, and tool selection
Regression suites tied to prompt and skill versions
Human-in-the-loop review queues for edge cases

Guardrails

Rate limits, circuit breakers, and budgets that halt unsafe or runaway agent behavior before it hits production or your invoice

Per-agent and per-workflow rate limits
Circuit breakers for infinite tool loops and retry storms
Token and run budgets with hard stops

Contact sales

Scope deployment, licensing, and which harness capabilities fit your agent roadmap.