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intentkit

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Basic Information

IntentKit is an autonomous agent framework designed to create, configure, run, and manage multiple AI agents with extensible skills and external integrations. The repository provides a core Python package and an application stack that together support agent configuration, credentials, personality, memory, and skill state management. The system is powered by LangGraph for core agent orchestration and uses LangChain-style tools for skill implementations. It includes entrypoints for social media platforms such as Twitter and Telegram, first-class EVM blockchain integration, an API server, an autonomous runner, and a background scheduler. The project is organized into intentkit core modules for abstracts, clients, models, skills and utilities, plus an app directory with admin APIs, service implementations, and runnable components. The README documents architecture, development guidance, documentation and migration notes for the Python environment.

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6435
App URL
https://github.com/crestalnetwork/intentkit
Github Repository
https://github.com/crestalnetwork/intentkit/blob/main/README.md

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App Details

Features
The README lists several core features: support for multiple autonomous agents and centralized autonomous agent management. Blockchain integration prioritizes EVM chains and includes wallet and on-chain action capabilities. Social media integrations include Twitter and Telegram entrypoints and related service implementations. The skills system is extensible and based on LangChain tools, with an MCP feature marked as work in progress. The stack uses LangGraph to power agent logic and stores agent config, credentials, personality, memory and skill state. The repository exposes a comprehensive REST Agent API, an autonomous runner, a background task scheduler, admin APIs and utility scripts. The project is packaged as a pip package and organized for development and contribution.
Use Cases
IntentKit helps developers and teams build and operate real-world autonomous agents by providing reusable infrastructure, integrations and patterns. It reduces the effort of wiring agent orchestration, memory and state management by offering a LangGraph-driven core, Pydantic and SQLAlchemy models, and prebuilt clients for external services. Built-in entrypoints and service modules for social platforms and initial EVM blockchain support accelerate connector development. The REST Agent API, autonomous runner, scheduler and admin tools allow programmatic control, background execution and operational management of agents. The extensible skills system enables adding custom capabilities such as internet search, image processing, on-chain actions and wallet management. Documentation, development guides and contribution pathways are included to help teams extend or deploy agents.

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