Durable sessions
Append-only event log per session in a SQLite-backed Durable Object. Resume from anywhere; survive restarts and crashes.
Welcome to openma
An open-source meta-platform for AI agents on Cloudflare. Sessions, sandboxes, tools, memory, credentials — managed.
What is openma?
Section titled “What is openma?”openma (Open Managed Agents) is the infrastructure layer for AI agents. You bring the harness — the loop that decides what the model does next — and openma takes care of everything else: durable sessions, sandboxed code execution, tool calls, semantic memory, secret-safe credentials, and crash recovery.
It runs entirely on Cloudflare (Workers, Durable Objects, D1, R2, KV, Vectorize, Containers), and you can either use the hosted product at openma.dev or fork and self-host to your own Cloudflare account.
Choose your path
Section titled “Choose your path” I want to use openma.dev Sign up, create your first agent in the Console, connect Linear or GitHub. No deploy needed.
I want to build agents on the API REST endpoints, the CLI, custom skills, custom tools, MCP servers, and the harness interface.
I want to self-host Fork the repo, deploy to your own Cloudflare account, register your own OAuth apps.
I want to contribute Repo layout, local dev loop, where the design RFCs live.
Why openma?
Section titled “Why openma?”Most agent frameworks tell you how to build an agent — the loop, the prompt format, the orchestration shape. openma is different: it stays out of the harness and instead provides what every long-running agent needs but is painful to build.
Sandboxed execution
Tool calls run in per-session Cloudflare Containers. Pre-install Python / Node / apt packages declaratively.
Vault-backed credentials
Secrets never enter the sandbox. An outbound proxy injects auth headers per-host so tools can hit private APIs without ever seeing the key.
Built-in memory
Per-agent semantic memory across sessions, indexed in Vectorize via Workers AI embeddings.
MCP, everywhere
Connect any MCP server and openma auto-generates mcp_* tools the model can call.
Three integrations, day one
Publish agents into Linear (assignable issues), GitHub (PRs), and Slack (channels) with OAuth-managed auth.
Next steps
Section titled “Next steps” Read the Concepts page A one-page tour of every noun: Agent, Session, Environment, Vault, Skill, Tool, Harness, Integration.
Run the Quickstart Sign up, get an API key, and create a session with curl in five minutes.