aiwaves-cn/agents

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

5957 stars · 480 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Agents 2.0 is a Python framework for data-centric, self-evolving autonomous language agents based on symbolic learning. It adapts neural-network-style training—forward passes, language-based loss, backpropagation, and weight updates—to optimize prompts, tools, and agent pipelines, including multi-agent systems.

Use cases

• train and optimize llm agents with symbolic learning
• build self-evolving autonomous language agents
• optimize prompts and tools via language gradients
• train multi-agent systems
• evaluate agent pipelines with language-based loss

When to choose

• you want agents that improve themselves from training data
• you need prompt optimization inspired by backpropagation
• you are researching agent training and evaluation methods

When to avoid

• you need a simple production agent runtime without training
• you want a framework with active ongoing development
• you need non-Python or lightweight agent orchestration

Facets

framework · maturity maintenance

agent-framework llm-training prompt-engineering machine-learning artificial-intelligence large-language-models machine-learning python cross-platform symbolic-learning self-evolving-agents language-agents backpropagation multi-agent-systems research ai-agents

Member repositories

For agents

markdown · JSON · MCP: product_card(name="aiwaves-cn/agents")