agents

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An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

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5,930

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Forks

480

Contributors

26

npm DL / wk

PyPI DL / wk

Language

Python

Last push

2024-09-26

About agents

[🤖Project] [📄Paper] [📝Docs] [🌟Overview] [🔧Installation] [🚩Citation] Agent symbolic learning is a systematic framework for training language agents, which is inspired by the connectionist learning procedure used for training neural nets. We make an analogy between language agents and neural nets: the agent pipeline of an agent corresponds to the computational graph of a neural net, a node in the agent pipeline corresponds to a layer in the neural net, and the prompts and tools for a node correspond to the weights of a layer. In this way, we are…

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Newly tracked — a growth score appears after the first full scoring week. Signals are deliberately suppressed during cold start to avoid false positives.

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Frequently asked questions

Is agents still maintained?
Activity is low: the last push was on 2024-09-26 (622 days before our latest snapshot).
What are the best agents alternatives?
Closest by category and size in our data: DevOpsGPT, TaskWeaver, Archon — full list with live signals above.

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Tracked since 2026-06-10 · data as of 2026-06-10 · 44 open issues ·