Knowledge base (AI agents)
Everything you need to know about current AI agents and AI tools
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.
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.
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.
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.
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.
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.
Try LLM-based Human-Agent Collaboration and Interaction Systems: A Survey
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.
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.
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.
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
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.
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.
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.
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.
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.
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.
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.
Awesome long chain
Awesome-langchain is an open source framework component for agent automation and workflow orchestration.
Description
Awesome langchain 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 kyrolabs and is called awesome langchain.
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.
Voice Lab
Voice Lab is an open source framework component for agent automation and workflow orchestration.
Description
Voice Lab 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 saharmor and is called voice lab.
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.
fast agent
fast-agent is an open source framework component for agent automation and workflow orchestration.
Description
fast 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 benefits lie in reusability, governance, and operation, not in a single chat response. The project is stored as a repository at fast agent and is called fast 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.