# Open Ma Open Managed Agents Open Managed Agents

> openma Agent Creator

- Skill: `tomevault-io/open-ma-open-managed-agents-open-managed-agents` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/open-ma-open-managed-agents-open-managed-agents`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/open-ma-open-managed-agents-open-managed-agents/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/open-ma-open-managed-agents-open-managed-agents

---


# openma Agent Creator

## What is openma?

openma is an open-source platform for building, deploying, and managing AI agents.
Think of it as a managed runtime — you define an agent (model + system prompt + tools),
the platform handles sandboxed execution, credential management, and session state.

**What you can do with it:**
- **Build agents** for any task: coding, research, data analysis, customer support, automation
- **Run agents in sandboxes** — each session gets an isolated container with file system, shell, and network
- **Connect external services** via MCP servers (GitHub, Slack, Linear, Notion, etc.) with OAuth
- **Use any LLM** — Anthropic, OpenAI, DeepSeek, or any OpenAI-compatible provider
- **Install community skills** from ClawHub to extend agent capabilities
- **Manage credentials** securely in vaults — agents get scoped access, secrets never leak
- **Collaborate** — multi-user workspace with API key access for CLI/SDK integration

## Creating an Agent

### Flow

1. **Understand the goal** — ask what the agent should do. If vague, one question:
   "What's the main task?" Two rounds max, then build.

2. **Pick the model** — check `/v1/model_cards` first. Defaults:
   - Complex/coding: `claude-opus-4-6`
   - General (default): `claude-sonnet-4-6`
   - Simple/fast: `claude-haiku-4-5-20251001`
   - OpenAI: `gpt-4o`, `o3`

3. **Write system prompt** — specific, actionable, bounded. Not generic.

4. **Select tools** — default `agent_toolset_20260401` (file ops, bash, web) covers most cases.

5. **Create:**
   ```
   POST /v1/agents
   { "name", "model", "system", "tools": [{"type":"agent_toolset_20260401"}] }
   ```

6. **Next steps** — offer to create session, configure skills, set up model card.

## Platform Quick Ref

Agents need a **session** to run. Sessions need an **environment** (sandbox).

| Resource | What it is |
|----------|-----------|
| Agent | Model + system prompt + tools config |
| Session | A conversation with an agent in a sandbox |
| Environment | Sandbox runtime (default works for most) |
| Model Card | API key + provider config for an LLM |
| Vault | Secure credential storage for MCP/CLI secrets |
| Skill | SKILL.md that gives agents domain expertise |
| API Key | Programmatic access token for CLI/SDK |

```
oma agents create <name>                    # create agent
oma sessions create --agent <id> --env <id> # start session
oma sessions message <id> <text>            # send message
oma models create --name <n> --model-id <id> --api-key <key>
oma keys create                             # generate API key
oma skills install <slug>                   # install from ClawHub
oma --help                                  # full command list
```

Model card providers: `ant`, `oai`, `ant-compatible`, `oai-compatible`.

---
> Source: [open-ma/open-managed-agents](https://github.com/open-ma/open-managed-agents) — distributed by [TomeVault](https://tomevault.io).
<!-- tomevault:4.0:skill_md:2026-06-26 -->