AI & context
Context Lake for AI Agents
Context Lake is Exemplar's shared operational brain: a queryable, linked view of your stack built from live signals across your ecosystem. Agents and assistants use it as memory—so answers and actions stay tied to production truth, not a stale wiki or a one-off prompt.
It powers Day 2 Ops with unified context, tool access, and guardrails—so agents and teams work from one connected picture, not siloed dashboards.
How it fits together
Integrations feed the lake; agents read and act through the same graph and policies as the console.
Agents
AI assistants and automation read from the lake, run approved actions, and write back outcomes—always against the same graph and guardrails.
Context Lake
The merged, queryable layer: services, teams, dependencies, risk, and work—kept current so every surface sees one connected picture.
Integrations
Your tools stream commits, infra, vulnerabilities, tickets, and more into the lake so context stays grounded in live signals, not stale exports.
What this solution covers
- Live knowledge graph — services, teams, dependencies, risk, and work items linked from Git, cloud, security, and ticketing signals.
- Agent-ready memory — assistants query the same entities the dashboard uses; responses stay aligned with what's in production.
- Guardrails — actions run through policy, approvals, and audit trails—whether triggered from the console, a webhook, or an agent.
- MCP tools — platform capabilities exposed as tools in Cursor, Claude, and other MCP clients. See the AI assistant page.
Data foundation
Agents and integrations ingest real-time signals—commits, resources, vulnerabilities, and work items—and fuse them into a single graph so "who owns what" and "what depends on what" have one answer.
Examples
- GitHub — ownership and delivery events anchor how change flows.
- AWS — accounts, regions, and resources show where workloads run.
- Snyk / Linear — risk and planned work tied to services.
Operational outcomes
Agents use Context Lake to execute Day 2 work with strict guardrails: restarts, access grants, and changes stay traceable and policy-aware.
- Respond to incidents with catalog-backed context
- Time-bound access to logs or prod with expiry and audit
- Capacity, secrets, and patches outside big-bang releases
Pair Context Lake with a living service catalog, integrations, and Day 2 Ops workflows—or open the console to explore.
Open console →