Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/google/adk-docs/managed-agentsgit clone --depth 1 https://github.com/google/adk-docsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00000 | $0.01922 |
| Opus 5 | $0.00000 | $0.00961 |
| Sonnet 5 | $0.00000 | $0.00384 |
| Haiku 4.5 | $0.00000 | $0.00192 |
Grade A, and why
managed-agents scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 177 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Managed agents
Managed agents let you use Google's first-party, out-of-the-box agents, backed
by the Managed Agents API, from within your ADK flows. Managed agents are
available through the Gemini API
and Agent
Platform.
The ManagedAgent class connects to a managed agent (such as the Antigravity
agent) that runs in a specialized, server-side execution environment, so you get
powerful built-in capabilities without managing sandboxes or writing client-side
function declarations.
ManagedAgent implements the same BaseAgent contract as other ADK agents, so
you can use it standalone or drop it directly into an ADK flow. It is a good fit
when you want a robust, server-hosted agent with specialized built-in tools
rather than building and operating that environment yourself.
What are managed agents?
A managed agent is an agent whose reasoning, tools, and execution environment
are hosted and operated by Google through the Managed Agents API, rather than
run by your own ADK process. Instead of issuing standard generate_content
calls, ManagedAgent creates server-side interactions and streams the results
back into your ADK flow. Managed agents provide several built-in advantages:
- First-party, out-of-the-box agents: Connect to ready-made agents (for
example, the Antigravity agent) by referencing their
agent_id. - Built-in, server-side execution: Capabilities such as web search and code execution run in a managed sandbox on the server, with no local sandbox to provision or secure.
- No client-side function declarations: Server-side tools are configured on the managed agent, so you don't declare or execute them locally.
When to use managed agents vs. building your own
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 177 lines · 0 tokens per session scan A aaab1b92598e
managed-agents is an agent published in the GitHub repository google/adk-docs (1,479 stars, last pushed 3d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,922 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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