by ServiceNow · Agent Tool · ★ 303
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TapeAgents TapeAgents is a framework that leverages a structured, replayable log (Tape) of the agent session to facilitate all stages of the LLM Agent development lifecycle. In TapeAgents, the agent reasons by processing the tape and the LLM output to produce new thoughts, actions, control flow steps and append them to the tape. The environment then reacts to the agent’s actions by likewise appending observation steps to the tape. Why TapeAgents Key features: Build your agent as a low-level state machine, as a high-level multi-agent team configuration, or as a mono-agent guided by multiple
| Stars | 303 |
| Forks | 38 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 42.7/100 |
| Open Issues | 30 |
| Last Updated | 2025-12-16 |
| Created | 2024-09-13 |
| Platforms | python |
| Est. Tokens | ~12764k |
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TapeAgents is TapeAgents is a framework that facilitates all stages of the LLM Agent development lifecycle. It is categorized as a Agent Tool with 303 GitHub stars.
TapeAgents is primarily written in Python. It covers topics such as agentic, agents, ai-agents.
You can find installation instructions and usage details in the TapeAgents GitHub repository at github.com/ServiceNow/TapeAgents. The project has 303 stars and 38 forks, indicating an active community.
TapeAgents is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to TapeAgents on Agent Skills Hub include awesome_ai_agents, sre, Fast-LLM-Agent-MCP. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.