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Cykel

AI agents

Cykel is a digital employee platform that provides AI agents for recruiting, sales, and research scenarios. Its first digital employee is named Lucy, positioned as an AI recruiting partner that can automate talent sourcing, screening, and administrative tasks, helping talent teams shorten the hiring cycle. The platform also provides an AI sales agent that automates lead generation, outreach, and follow-up to accelerate the sales cycle; and an AI business analyst that researches and writes professional-grade company reports for investment, consulting, and advisory teams. All digital employees are claimed to work 24/7.

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DAGent

AI agents

DAGent is a Python library with a clear design orientation, used to quickly build AI agents through a directed acyclic graph (DAG) structure, without additional overhead. Its core idea is to set existing Python functions as nodes in the graph, and have a large language model infer which function should be executed through "decision nodes," thereby implementing agent behavior. Tools are just ordinary functions, and the LLM can call them as tools. The library supports installation (pip install dagent or rye add dagent), and requires the system to provide the required API key, using OPENAI_API_KEY by default. DAGent supports using different LLM models for reasoning and tool description generation, and the model can be specified through call_llm, call_llm_tool, or when compiling a DecisionNode, for example groq/llama3-70b-8192. In use, it is recommended to write docstrings and type annotations for functions to help the LLM understand. The .compile() method automatically generates and saves tool descriptions to the Tool_JSON folder, which can be manually edited to improve reliability. If data is passed between functions, the prev_output parameter must be included in the function signature; if there is a problem with extra parameters, **kwargs can be added. Parameters can be overridden by the user at runtime. This library is suitable for developers who want to quickly build agent workflows by reusing existing Python code.

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Dagster

Other AI tools

Dagster is an AI-native DataOps platform that helps teams quickly build, schedule, and monitor reliable data pipelines. It is centered on data assets, attaching lineage, quality signals, and dependency context to every piece of data. The platform supports branch deployments, hybrid deployments, built-in observability, and native integrations with tools such as dbt, Snowflake, and Fivetran. Dagster also offers Dagster+ AI, which turns operational context into action and supports teams in building governed data agents. The core orchestration framework is open source, while Dagster+ is a managed cloud service with a free tier. Its claimed outcomes include a 14x increase in data freshness, a 90x increase in developer onboarding speed, and a 15x increase in pipeline efficiency.

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