Agno vs Cursor Agent SDK

Agno

An Apache 2.0 Python agent framework at 3.1.1 with an MCP client, tool confirmation and admin approvals, a durable job queue and 25 stable releases in 90 days. Usage telemetry is on by default with unhashed identifiers, and three high or critical advisories were published against it in the last 12 months, all fixed.

Cursor Agent SDK

An agent-as-code framework with typed tools, declared read and write effects that drive retries and dry runs, an approval gate per tool and evals that assert on tool calls. It's closed source, every model turn runs through Cursor's backend on a Cursor plan, local sandboxing is off by default, and the changelog has two entries.

Agno

1. Set AGNO_TELEMETRY=false before the first run, and pass telemetry=False to AgentOS and to each eval, which ignore the variable
2. Configure JWT_VERIFICATION_KEY with AgentOS authorisation switched on, or OS_SECURITY_KEY, before exposing AgentOS. With neither set, REST and MCP routes take no credential
3. Mark tools that write with requires_confirmation, and resume with continue_run once every requirement is resolved
4. Set tool_call_limit on agents. The default is None
5. Install extras for what you use, such as agno[mcp] for MCPTools and agno[os,mcp] for AgentOS with its MCP server

Cursor Agent SDK

1. Install @grok/agent-sdk, not @cursor/agent-sdk from the launch post. That name answers 404 on npm
2. Set local.sandbox before a turn reads webhook payloads, pull request diffs or chat. Without it shell commands auto-approve with the host's credentials
3. Give every tool an effect. A tool without one counts as a write, runs once and is stubbed in dry runs
4. Start agent-sdk serve with --bearer-token on any shared host. --allow-anonymous admits every caller as one principal
5. Delete bot/hooks/memory.ts when sessions serve different people. The journal shares each turn's message and result with later turns