Knowledge base (AI agents)
Everything you need to know about current AI agents and AI tools
Apify MCP Tester
Apify MCP Tester is a commercial framework component for agent automation and workflow orchestration with a focus on MCP.
Description
Apify MCP Tester 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.
Llama_index
Llama_index is an open source framework component for agent automation and workflow orchestration.
Description
Llama_index 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.
Awesome-llm-powered-agent
Awesome-llm-powered-agent is an open source framework component for agent automation and workflow orchestration.
Description
Awesome llm powered 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 hyp1231 and is called awesome llm powered 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.
Openagi
Openagi is an open source framework component for agent automation and workflow orchestration.
Description
Openagi 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 agiresearch and is called OpenAGI.
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.
Flowise
Flowise is a visual builder for LLM workflows and agent chains, enabling rapid prototyping and deployment.
Description
Visual builder for LLM workflows and agent chains, often used for rapid prototyping. You wire together building blocks such as models, retrievers, tools, and storage into a sequence and can deploy it as a service.
area of application
Rapid prototyping, simple agent workflows, RAG demos, internal proof of concepts.
benefits
Very quick start and many pre-built nodes. Good for workshops and demos. Makes processes visually comprehensible.
disadvantages
Production requires additional governance and testing. Large graphs become confusing. Maintenance and versioning can be difficult.
Lutra
Lutra is a commercial framework component for agent automation and workflow orchestration.
Description
Lutra 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 benefits lie 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.
Openlens AI
Openlens Ai is an open source framework component for agent automation and workflow orchestration.
Description
Openlens Ai 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 jarrycyx and is called openlens ai.
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.
Best AI agents
Best-ai-agents is an open source framework component for agent automation and workflow orchestration.
Description
Best AI Agents 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 SamurAIGPT and is called Best AI Agents.
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 language agents
Awesome-language-agents is an open source framework component for agent automation and workflow orchestration.
Description
Awesome language agents 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 ysymyth and is called awesome language agents.
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.
CAMEL
CAMEL is an open source framework component for agent automation and workflow orchestration.
Description
CAMEL 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 camel ai and is called camel.
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.
Inspired Projects By Babyagi
Inspired Projects By Babyagi is an open source framework component for agent automation and workflow orchestration.
Description
Inspired Projects By Babyagi 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 yoheinakajima and is called babyagi.
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.
UFO
Ufo is an open source framework component for agent automation and workflow orchestration.
Description
UFO 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 Microsoft and is called UFO.
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.
WhatsMCP
WhatsMCP is a commercial framework component for agent automation and workflow orchestration with a focus on MCP.
Description
WhatsMCP 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.
Mle agent
Mle-agent is an open source framework component for agent automation and workflow orchestration.
Description
Mle 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 hosted as a repository at MLSysOps and is called MLE 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.
Ai-town
Ai-town is an open-source framework component for agent automation and workflow orchestration.
Description
Ai town 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 a16z infra and is called ai town.
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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Awesome-agenticllm-rl-papers
Awesome-agenticllm-rl-papers is an open source framework component for agent automation and workflow orchestration.
Description
Awesome agenticllm rl papers 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 xhyumiracle and is called Awesome AgenticLLM RL 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 Awesome-agenticllm-rl-papers
Schema (copy & paste)
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LLM Agent Paper Digest
Llm-agent-paper-digest is an open source framework component for agent automation and workflow orchestration.
Description
LLM Agent Paper Digest 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 XueyangFeng and is called LLM Agent Paper Digest.
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.
Schema (copy & paste)
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The Rise and Potential of Large Language Model-Based Agents: A Survey
The Rise And Potential Of Large Language Model Based Agents: A Survey is an open source framework component for agent automation and workflow orchestration.
Description
The Rise And Potential Of Large Language Model Based Agents: A Survey 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 hosted as a repository at WooooDyy and is called LLM Agent Paper 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.
Try the Rise and Potential of Large Language Model-Based Agents: A Survey
Schema (copy & paste)
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Looking at large model agent technology from first principles
From the first principle perspective, large model agent technology is a commercial framework component for agent automation and workflow orchestration.
Description
从第一性原理看大模型agent技术 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 benefits lie 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 Looking at Large Model Agent Technology from First Principles
Schema (copy & paste)
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Proagent
Proagent is an open source framework component for agent automation and workflow orchestration.
Description
Proagent 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 hosted as a repository at OpenBMB and is called ProAgent.
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.
Schema (copy & paste)
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