Open source Platform for AI Platform Engineering
CAIPE is an open source AI platform for any size teams to build customizable AI agents and automated agentic workflows wherever your team operates โ Web, Slack, Webex, event streams, and more โ secured with strong human and non-human identity and access management.
๐ก Pronounced like cape ๐ฆธ โ just as a cape empowers a superhero, CAIPE empowers teams with ๐ค agentic AI automation.

# Install CAIPE via setup script
$ bash <(curl -fsSL https://raw.githubusercontent.com/cnoe-io/
ai-platform-engineering/main/setup-caipe.sh)# Or via Helm
$ helm upgrade --install ai-platform-engineering \
oci://ghcr.io/cnoe-io/charts/ai-platform-engineering \
--version 0.5.60 -f your-values.yamlSee It In Action
Watch the demo
Real World Usage
Used in production
Teams building with CAIPE โ from always-on AI assistants to enterprise-scale multi-agent platform automation.

How Splunk Built Forge on CAIPE
Splunk Cloud Platform team used CAIPE to build an always-on internal AI assistant, cutting engineer response times by 99% and automating support triage across 90+ channels.
Read more โ
JARVIS: Multi-Agent System Design Deep Dive
A technical deep dive into how JARVIS โ Cisco's internal platform AI assistant โ is architected as a multi-agent system using CAIPE for superior performance and scalability.
Read more โ
CAIPE Hands-On Workshop
Step-by-step labs covering single-agent design, multi-agent orchestration, RAG knowledge bases, and distributed tracing โ learn by building.
Start learning โOur Mission
To redefine platform engineering by creating intelligent, secure, and scalable multi-agent systems that empower teams to focus on innovation, seamlessly manage complex infrastructures, and shape the future of cloud-native operations through the Internet of Agents.
Why CAIPE
Built for teams of all sizes
Platform Engineering, SRE, Developers, Product Managers โ custom agents, skills, knowledge bases, and BYO MCP servers, natively in the cloud-native ecosystem, secured with human and non-human IAM, powered by your choice of LLM.
Multi-Agent Orchestration
Dynamic agents connected to first-party and external MCP servers.
Rich Web UI
Streaming chat, agent builder, skills gateway, and admin controls.
Integrated Knowledge Bases
Hybrid RAG and optional Graph RAG across web, AWS, Kubernetes, Jira, GitHub, Slack, and more.
Agent Memory
Cross-session fact extraction and per-user context persistence.
Enterprise Security
OIDC SSO, Okta RBAC, and policy-based tool restrictions.
Flexible Deployment
Helm, Docker Compose, Langfuse tracing โ bring any OpenAI-compatible LLM.
Deterministic Workflows
Multi-step dynamic-agent pipelines with persisted run history and artifacts.
Ready-to-Use SRE Agent
A pre-built SRE agent teams can deploy immediately and customize for their own workflows.
Custom Agents
Build agents with custom prompts, tools, and personas โ no boilerplate.
BYO MCP Servers
Plug in external MCP servers and custom Dynamic Agents as first-class participants.
Multi-Model Support
Claude, OpenAI, Gemini, or any compatible endpoint โ swap without rewiring.
Multiple Clients
Web UI, Backstage plugin, Chat CLI, Slack Bot, and Webex Bot.
Pre-built integrations for your platform stack โ or bring your own MCP server and build custom agents