ai-platform-engineering

CAIPE is an open‑source platform that lets you create, govern, and run AI agents and agentic workflows. It targets enterprises, development teams, and individual engineers who need a self‑hosted solution that can be tied into existing DevOps and observability stacks.

The platform supplies a visual Agent Builder where you select a large language model, attach tools such as API callers or database queries, and define guardrails that limit output formats. An agent receives inputs like a user query, a webhook payload, or a ticket description, processes them with the chosen model, and can return structured JSON, plain‑text answers, or trigger downstream actions. Workflows arrange multiple agents in ordered steps; each step's result is persisted as an artifact that later steps can read, enabling use cases such as triaging alerts, generating code snippets, or summarizing logs. Knowledge is accessed through hybrid retrieval‑augmented generation (RAG) that pulls from web pages, AWS resources, Kubernetes clusters, Jira tickets, GitHub repositories, Slack channels, or custom graph stores, so the system can answer questions with up‑to‑date internal data.

Security and compliance are built into the core. Authentication integrates with OIDC SSO and Okta RBAC, while policy files specify which tools an agent may invoke, preventing unauthorized external calls. Agent memory stores extracted facts and per‑user context across sessions, allowing a chatbot to remember prior interactions without re‑querying external sources. Deployment options include Helm charts, Docker Compose, and Langfuse tracing, giving you the flexibility to run CAIPE on‑premises, in a private cloud, or within a Kubernetes cluster. Because the platform is model‑agnostic, you can point it at Claude, OpenAI, Gemini, or any OpenAI‑compatible endpoint and swap models without changing the surrounding workflow.

The user interface provides a rich web UI for streaming chat, configuring agents, and managing permissions, complemented by a command‑line client, Slack integration, and Webex bot. Pre‑built connectors cover ArgoCD, PagerDuty, GitHub, GitLab, Jira, Confluence, Kubernetes, Slack, Webex, Splunk, VictorOps, Komodor, Backstage, and AWS, so you can plug CAIPE into most platform engineering pipelines. If you have a custom MCP server, you can register it as a first‑class participant, allowing bespoke dynamic agents to join the orchestration.

Key features

• Multi‑agent orchestration with dynamic agents and external MCP servers
• Hybrid and graph‑based RAG across web, cloud, and internal services