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Agno can be one layer inside a coding-agent harness, but it is not the whole harness by itself. For a coding harness you usually need an outer control loop around the agent: create task -> run agent step/tool call -> execute shell/tests -> capture errors -> feed the result back -> stop on success/budget/approval. Agno can model the agent, tools, memory, and team pieces, but the long-running retry loop, workspace isolation, test runner, and approval policy are things you should build around it. So the shape would be: Agno agent/team for planning and tool selection, plus your own orchestrator for repo checkout, command execution, test feedback, retries, and termination conditions. If you need Codex/OpenHands-style autonomous repair, treat Agno as the agent runtime component, not the full harness product. |
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https://github.com/shareAI-lab/learn-claude-code/ There is a lot in harness from 1.memory 2.context-compation 3.hooks 4. skill-loading 5. Subagents you can learn it using the above repo. |
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I wanna build the Coding Agent Harness. Does the Agno support that ?
The current agent from Agno, it seems to be that does not run the long running tasks, get the feedback, auto correct when having the error.
thank you
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