It is an open-source framework designed for creating data-centric, self-evolving autonomous language agents. The framework, called Agents 2.0, uses symbolic learning to enable self-evolving agents by drawing an analogy between language agents and neural networks. In this framework, the agent pipeline corresponds to the computational graph of a neural network, nodes in the pipeline correspond to layers in the neural network, and prompts and tools for each node correspond to the weights of a layer. This allows the implementation of connectionist learning components, such as backward propagation and gradient-based weight updates, in the context of agent training using language-based loss, gradients, and weights.
The framework implements a loss function, back-propagation, and weight optimizer for agent training through carefully designed prompt pipelines. During training, it conducts a “forward pass” (agent execution) and stores input, output, prompts, and tool usage in each node as a “trajectory.” A prompt-based loss function evaluates the outcome, producing a “language loss.” This loss is then back-propagated from the last to the first node, generating textual analyses and reflections (called language gradients) for the symbolic components within each node. Finally, the symbolic components and the computational graph are updated based on these language gradients using another carefully designed prompt. The framework also supports optimizing multi-agent systems by treating nodes as different agents or allowing multiple agents to act within a single node.
The framework is available for installation from a Git repository branch and supports local development. Users are encouraged to cite the project if they find it useful in their research. The repository includes detailed documentation, an overview, installation instructions, and citation guidelines. It is maintained by aiwaves-cn and is hosted on GitHub, where users can provide feedback, explore the code, and contribute to the project. The repository also includes a navigation menu, saved searches, and information about releases, contributors, and licensing.
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