Knowledge base (AI agents)

Everything you need to know about current AI agents and AI tools

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AgentOps

AgentOps is an open-source framework component for agent automation and workflow orchestration with a focus on observability.

Description

AgentOps is an open source building block for agent automation and infrastructure with a focus on observability. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is hosted as a repository at AgentOps AI and is called agentops.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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LlamaIndex

LlamaIndex is an open source framework component for agent automation and workflow orchestration.

Description

LlamaIndex is an open source building block for agent automation and infrastructure with a focus on frameworks. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefits lie in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at run llama and is called llama_index.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Dify

Dify is an open source platform for building and deploying LLM apps, RAG pipelines, and agent workflows.

Description

Open source platform for building and operating LLM apps, RAG pipelines, and agent workflows. You model steps, variables, tool calls, and outputs, and can provide APIs. Suitable for teams that want to deploy quickly.

area of application

Workflow-based agent apps, internal tools, chat apps with data access, from prototype to operation.

benefits

Quick start via UI, yet expandable. Practical for teamwork and repeatable processes. Self-hosting enables control over data.

disadvantages

You are responsible for operation and security. However, complex cases still require engineering. Without proper rights management, there is a risk.

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Appagent

Appagent is an open-source framework component for agent automation and workflow orchestration.

Description

Appagent is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefits lie in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at mnotgod96 and is called AppAgent.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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CrewAI

CrewAI is an open source framework component for agent automation and workflow orchestration.

Description

CrewAI is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is hosted as a repository at crewAIInc and is called crewAI.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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LLM-based Human-Agent Collaboration and Interaction Systems: A Survey

LLM-based Human-Agent Collaboration and Interaction Systems: A Survey is an open source framework component for agent automation and workflow orchestration.

Description

LLM-based Human Agent Collaboration and Interaction Systems: A Survey is an open source building block for agent automation and infrastructure with a focus on frameworks. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefits lie in reusability, governance, and operation, not in a single chat response. The project is hosted as a repository by HenryPengZou and is called Awesome LLM Based Human Agent System Papers.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Livemcp-101

Livemcp-101 is a commercial framework component for agent automation and workflow orchestration with a focus on MCP.

Description

Livemcp 101 is a commercial building block for agent automation and infrastructure with a focus on MCP. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Llmling agent

Llmling-agent is an open source framework component for agent automation and workflow orchestration.

Description

Llmling agent is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at phil65 and is called llmling agent.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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LLM agent benchmark list

Llm-agent-benchmark-list is an open source framework component for agent automation and workflow orchestration.

Description

LLM Agent Benchmark List is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at zhangxjohn and is called LLM Agent Benchmark List.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Iclr'24 Latest Research Advances in Large Language Model Agents | Key Points in Agent Evaluation

Iclr'24 Latest Research Advances in Large Language Model Agents | Key Points in Agent Evaluation is a commercial framework component for agent automation and workflow orchestration.

Description

Iclr'24 上大型语言模型代理的最新研究进展 | 代理评估重点 is a commercial building block for agent automation and infrastructure with a focus on frameworks. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

Try Iclr'24 Latest Research Advances in Large Language Model Agents | Key Points in Agent Evaluation

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Google Jules

Google Jules is a commercial agent tool for software development and iterative code improvement.

Description

Google Jules is a commercial agent tool for software development with a focus on terminals. It can typically understand code, suggest changes, and improve iteratively, working within the context of your repository. The goal is to work through engineering steps rather than just providing code examples.

area of application

Bug fixes, refactoring, test additions, CI debugging, minor features, PR preparation, and code review support.

benefits

Saves time on routine work, especially when tests are available. Good control when changes go through Git Review. Increases throughput for tickets with clear acceptance criteria.

disadvantages

Without testing and reviews, the risk of incorrect changes increases. Access to repositories and secrets must be strictly limited. Model limits and costs can slow down engineering flows.

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Claude Desktop App

Claude Desktop App is a commercial solution for assistants and support flows focused on dialogue and integrations.

Description

Claude Desktop App is a commercial solution for assistants and support flows, designed for dialogues, context management, and integrations. In a SaaS setup, it can serve as a front end for models or as a bot platform with channels and workflows. The focus is on user interaction and operability, not uncontrolled autonomy.

area of application

Customer service bots, internal knowledge assistants, help desk support, FAQ automation, team assistants.

benefits

Quickly usable for end users because UI and flows are already in place. Facilitates rollout and adoption. Integration into channels reduces media breaks.

disadvantages

Without sources and rules, hallucinations arise. Data protection and rights are critical when it comes to internal data. Complex logic requires additional engineering.

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Zed

Zed is a commercial agent tool for software development and code review in the IDE.

Description

Zed is a commercial agent tool for software development with a focus on IDE. It can typically understand code, suggest changes, and improve iteratively, working within the context of your repository. The goal is to work through engineering steps rather than just providing code examples.

area of application

Bug fixes, refactoring, test additions, CI debugging, minor features, PR preparation, and code review support.

benefits

Saves time on routine work, especially when tests are available. Good control when changes go through Git Review. Increases throughput for tickets with clear acceptance criteria.

disadvantages

Without testing and reviews, the risk of incorrect changes increases. Access to repositories and secrets must be strictly limited. Model limits and costs can slow down engineering flows.

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MCP Dock

MCP Dock is a commercial framework component for agent automation and workflow orchestration with a focus on MCP.

Description

MCP Dock is a commercial building block for agent automation and infrastructure with a focus on MCP. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Agent field

Agentfield is an open-source framework component for agent automation and workflow orchestration.

Description

Agentfield is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at Agent Field and is called agentfield.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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cinema

Kinode is an open source framework component for agent automation and workflow orchestration.

Description

Kinode is an open source building block for agent automation and infrastructure with a focus on frameworks. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefits lie in reusability, governance, and operation, not in a single chat response. The project is hosted as a repository at kinode dao and is called kinode.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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postman

Postman is a commercial framework component for agent automation and workflow orchestration with a focus on observability.

Description

Postman is a commercial building block for agent automation and infrastructure with a focus on observability. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Kwaiagents

Kwaiagents is an open source framework component for agent automation and workflow orchestration.

Description

Kwaiagents is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at KwaiKEG and is called KwaiAgents.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Deepanalyze

Deepanalyze is an open source framework component for agent automation and workflow orchestration.

Description

Deepanalyze is an open source building block for agent automation and infrastructure with a focus on frameworks. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefits lie in reusability, governance, and operation, not in a single chat response. The project is hosted as a repository at ruc datalab and is called DeepAnalyze.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

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Swarms

Swarms is an open source framework component for agent automation and workflow orchestration.

Description

Swarms is an open source building block for agent automation and infrastructure with a focus on framework. It provides either a runtime, a workflow system, an integration layer, or measurability so that agents can work reliably with tools and data. The benefit lies in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at kyegomez and is called swarms.

area of application

Tool integration, workflow orchestration, agent operation, configuration of tool access, evaluation, logging, reusable agent modules.

benefits

Improves stability and repeatability of agent flows. Facilitates integration of new tools and data sources. Makes governance more realistic through centralized configuration.

disadvantages

Operation and security efforts are real. Without clear tool contracts, systems become fragile. Misconfiguration can cause data leakage or unwanted actions.

Try Swarms

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