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Articles tagged with #autonomous-agents
The Software as a Service (SaaS) model began when Salesforce launched its “End of Software” campaign in 2000 and went public only four years later. At the time, people were still buying software in a box. CRM software like Siebel was incredibly diffi...
The recent introduction of the “Agent Summary” feature in SuperAGI version 0.0.10 has brought a drastic difference in agent performance – improving the quality of agent output. Agent Summary helps AI agents maintain a larger context about their goals...
Agent Workflows provide an efficient solution to one of the most pressing challenges faced by businesses today – Automating the business processes that usually require knowledge workers to put relentless hours on repetitive tasks. This can be solved ...
SuperAGI tools enable developers to extend agent capabilities, helping them accomplish specific tasks beyond the default LLM’s scope. For example, the CodingTool is capable of writing, evaluating, and refactoring code, while the GoogleSearchTool allo...
Agents are kernels of micro-autonomous intelligence which have the potential to complete a lot of intellectual and knowledge-based tasks. The key to enabling these agents to perform well is deep task specialization, along with having the context of t...
SuperCoder is an agent template configured in SuperAGI that can write simple coding projects. You just give an objective of the project and it would write the specs, unit tests, and code. You can run it along with the action console to give feedback ...
