TEN Framework
Overview
An open-source framework for building autonomous AI agents that interact with the real world through tools and memory.
Best For Professions:
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.
Product overview
Capabilities, pricing and fit
TEN Framework is best understood as an agent-development framework. Open-source framework for conversational voice AI agents.
Information as of July 30, 2026
What it can do
- Agent application development
Open-source framework for conversational voice AI agents.[1]
Where it fits best
- Creating autonomous agents that use memory and tools to solve tasks.[1]
Pricing and availability
Access: Source repository[1]
Sources (1)
- GitHub - TEN-framework/ten-framework: Open-source framework for conversational voice AI agents · GitHubGitHub · checked 2026-07-30
Autonomy level
88/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
Comparisons
Custom Comparisons
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:
Code access:
Popularity level: 71%
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AI Agent Store · Specialist AI agentsFor voice agent development studios
Your AI agent for real-time tool-connected voice agents.
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