Knowledge base (AI agents)

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

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

Try Ai-town


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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.

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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.

Try Llm-agent-paper-digest


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


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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


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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.

Try Proagent


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