Documentation Index
Fetch the complete documentation index at: https://docs.galadriel.com/llms.txt
Use this file to discover all available pages before exploring further.
Problems with existing frameworks
While our team built Daige, we tried every major Web3 agent framework and ran into well-known issues most of them have:- Rigid & Complex: Too many layers of abstraction, making them hard to debug and extend.
- Workflow-Focused: They emphasize workflows over autonomous, goal-solving agents.
- Overgrown & Hard to Customize: Production often requires rewriting the whole framework from scratch.
- Weak MVP Focus: They can spin up basic agents quickly but struggle with truly powerful ones.
Galadriel framework
We believe that agent development requires a robust, vertically integrated stack — a strategy proven by successful ecosystems such as Swift & iOS and Rust/Anchor & Solana. Following this principle, Galadriel’s framework is highly optimized for and tightly integrated with Galadriel L1. The framework’s design and development are guided by the following core principles:- Simplicity - Minimal abstractions, with ~1,000 lines of agent logic.
- Autonomous Agents - Enables agents to plan and control their own workflows.
- Broad Tool Support - Integrates with LangChain, Anthropic’s MCP, and more.
- Web3 Functionalities - Provides out-of-the-box support for on-chain and off-chain tools, wallet integration, and payments.
- Most used Clients - Integrates your agent with X, TG, Discord, and other main clients.
- Model-Agnostic – Works seamlessly with any LLM, whether local or hosted.
- Modality-Agnostic – Supports text, vision, video, and audio inputs.
Quickstart
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Agents
Read more about AI agents.