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TEN Framework

TEN Framework AI Agent
Rating:
(5 / 5 from 1 ratings)
Category:AI Agent Development Frameworks

Overview

An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.

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Best For Professions:

AI researcherssoftware developersautonomy engineerscognitive science researchers
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TEN Framework is an open-source modular system for building autonomous AI agents capable of reasoning, memory management, and tool usage. Designed to reflect real-world constraints, it incorporates a Thought-Emission-Norm (TEN) architecture, encouraging agents to think before acting. The framework supports open-ended planning, persistent memory storage, and tool augmentation. Developers can use TEN to experiment with agent autonomy and deploy agents that simulate complex decision-making workflows.

Autonomy level

88%

Reasoning: The TEN Framework enables high autonomy through its real-time multimodal processing and dynamic state management. Its modular extension architecture allows agents to independently handle tasks like speech processing, translation, and decision-making without constant human intervention. The edge-cloud integration further supports autonomous operatio...

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Some of the use cases of TEN Framework:

  • Creating autonomous agents that use memory and tools to solve tasks.
  • Building experimental AI agents with a focus on decision-making and planning.
  • Deploying agents that emulate human-like reasoning processes.
  • Extending or researching agent autonomy with modular plug-ins.

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Pricing model:

free

Code access:

open-source

Popularity level: 71%

Industries:

Software DevelopmentResearchBusiness Automation

Tags:

autonomous agentsmemory-augmented agentsAI planningopen-ended taskstool-useagent architecture

TEN Framework Video:

All AI AgentsTEN Framework Video Page
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