Enterprise agents need
shared knowledge.
Your data lives across Jira, GitHub, Kubernetes, and a dozen other systems. Every team is building a siloed vector DB for their agent. When agents need to hand off work, context resets to zero, and A2A flows fail. Cendriix is the unified knowledge and orchestration layer that makes enterprise agentic flows actually work.
- Unified knowledge graph
- A2A-ready orchestration
- BYO-cloud execution
- Hash-chained audit
- 09:12:04intakeneed triaged → "rate-limit 429s on /v1/runs"a3f9c2✓
- 09:12:31plan6-step plan · graph context loaded · cost cap set7e1b08✓ approved
- 09:14:50buildbranch fix/rate-limit-backoff · 4 filesc40d11✓
- 09:16:22test142 tests · 142 passed · coverage +0.4%9af6e2✓
- 09:16:45prPR #318 opened → blast-radius clear → merged2bd7c0✓
- 09:18:09deployrolled to prod · canary 10% → 100%5c8e34✓ verified
- 09:31:50operatewatching · p99 142ms · error-rate 0.02%e90a17● operating
Sample run, illustrative.
Trusted by engineering teams in
Surfaces your operators actually open in the Cendriix console.
Each tab maps to a shipped route or API path in cendriixai-app and cendriixai-backend, not a second chatbot inside Cortex.
Infrastructure intelligence
Cortex topology and connector sync inside the operator console, not a separate Cortex login.
Same experience as /infrastructure in the operator console, not a public architecture diagram. Compliance and health panels remain illustrative until live ingest ships.
- Topology tab: force-directed graph from GET /api/v1/topology (Cortex API)
- Connectors tab: Kubernetes and GitHub ingest live; catalogue lists 16 platforms
- Inspector shows health and compliance fields from API, empty when unavailable
Siloed agent knowledge breaks A2A workflows.
Every team building agents is also building a vector database. Each one ingests from the same Jira, the same GitHub, the same AWS, but agents don't share context. When one agent hands off work to another, knowledge resets. Multi-agent flows stall. The problem isn't the agents. It's the missing shared foundation.
Knowledge-aware execution, end to end.
After merge, Cendriix watches what shipped, catches regressions, and converges within your policy.
- 01intaketriage the need
- 02plandecompose, estimate, cap cost
- 03buildwrite the code in your repo
- 04testrun the suite, gate on green
- 05propen, review, merge
- 06deployship with canary + verify
Every run is event-sourced. Step through any decision, exactly as it happened.
Every decision written to a tamper-evident, hash-linked record. Nothing changes quietly.
One graph every agent can trust.
One graph resolves the same service across Kubernetes, GitHub, Datadog, and 12 other platforms. Every agent queries the same ground truth. No siloed context.
When agents hand off work to each other, shared graph context travels with the task. No knowledge reset at every boundary.
Every agent decision, including cross-agent handoffs, is written to a tamper-evident, hash-linked ledger. Complete attribution across the full A2A chain.
Roadmap: watch what ships, catch regressions, and converge within your policy (pre-beta).
Your cloud runs the agents. Your graph stays in your perimeter.
Agents execute inside your AWS, GCP, or Azure. The knowledge graph, source code, and secrets never leave your account. Cendriix holds only orchestration metadata, not your data.
Payloads never cross the boundary
- Agent executor processes
- Source code + secrets
- Artifacts + diffs
- Run output logs
- Model API calls (direct)
- Database connections
EKS orchestrator · ephemeral relay
- Run orchestration graph
- Step-status events only
- Policy + guardrail checks
- Approval routing
- Audit index (pointers)
- Cost telemetry
Tickets · CI · observability
- GitHub / GitLab / Bitbucket
- Jira / Linear / ServiceNow
- CI pipelines
- Observability stack
- Cloud provider APIs
- Custom webhooks
Matches production relay contract: STS-scoped IAM into your account; Cendriix stores orchestration metadata only, not repo contents or model payloads.
Set a ceiling. We never cross it.
Platform fee from $99/mo. Usage metered in Adaptive Compute Units. Cost caps enforced per-run at the orchestrator level. Runs that would exceed are blocked, not billed.
Connects to everything you already use
16+ connectors · MCP protocol · growing weekly
Stop rebuilding context.
Start running agents.
Book a pilotCendriix is early. We're taking a small number of design partners. You'll work directly with the people building it.