{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Python SDK for building, deploying, and managing AI agents on the xpander.ai Backend-as-a-Service platform, with support for agent lifecycle management, task execution, tool integration, knowledge bases, and event-driven workflows.","skillfed_tags":["agent-framework","backend-as-service","async-first"],"use_cases":["Build and deploy multi-agent systems that coordinate complex workflows across document analysis, data processing, and external tool integration.","Create event-driven agent handlers that respond to task lifecycle events using decorator-based programming patterns.","Manage knowledge repositories and enable agents to search and retrieve information from uploaded documents and external sources.","Integrate external tools and services into agent workflows via the tools repository and custom tool registration.","Monitor and track agent performance, execution status, and task activity logs in real-time through the SDK's monitoring interface."],"what_it_does":"xpander-sdk is the official Python client for xpander.ai, a Backend-as-a-Service platform for AI agents. It provides a unified interface to create, configure, deploy, and monitor AI agents at scale, handling the full lifecycle from agent initialization through task execution and result retrieval. The SDK abstracts away infrastructure management, allowing developers to focus on agent logic and workflows.\n\nThe package includes modules for agent management, task lifecycle control, tool registration and invocation, knowledge base operations, and event-driven programming via decorators. It integrates with OpenAI agents, Strands agents, and Headroom AI, and includes built-in support for document processing (PDF, Word, Excel, PowerPoint, images). A progressive context optimization pipeline manages token usage across agent conversations, automatically compacting context when approaching model limits and persisting summaries for retry continuity.","worth_installing":"Yes, with conditions. The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and uses a permissive MIT license. Install if you are building on the xpander.ai platform and need Python-native agent management. The 18 runtime dependencies are substantial; verify that optional dependencies can be excluded if you only need core agent operations. Not suitable if you need a standalone agent framework independent of xpander.ai infrastructure."},"id":"xpander-sdk","links":{"html":"https://skillfed.io/packages/xpander-sdk","md":"https://skillfed.io/packages/xpander-sdk.md","pypi":"https://pypi.org/project/xpander-sdk/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-13","license_spdx":null,"license_treatment":"permissive","name":"xpander-sdk","python_support":"supports_current","summary":"xpander.ai Backend-as-a-service for AI Agents - SDK"},"popularity":{"monthly_downloads":88914,"position":13693,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.0.456"}