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awesome ai sdks

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Basic Information

This repository is a curated, community-maintained catalogue of SDKs, frameworks, libraries, and tools relevant to building, monitoring, debugging, and deploying autonomous AI agents. It collects short descriptions and references for platforms and projects that support agent development, runtime, observability, analytics, and serverless hosting. The list highlights projects such as agent runtimes, observability tools, analytics services, and SDKs for integrating large language models. The intended audience is developers, teams, and researchers looking for tooling and infrastructure options for AI agent projects. The repository also serves as an index and a starting point for comparison and discovery rather than an exhaustive evaluation or benchmark of the listed projects. Community contributions via pull requests are encouraged to expand and update the database.

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App URL
https://github.com/e2b-dev/awesome-ai-sdks
Github Repository
https://github.com/e2b-dev/awesome-ai-sdks/blob/main/README.md

Categorization

App Details

Features
A curated list of AI agent SDKs and related tooling with concise descriptions for each entry. Inclusion of a variety of project types such as reactive runtimes, observability platforms, analytics for LLM applications, serverless agent hosting, and UI SDKs. Representative projects mentioned include agent runtimes, monitoring and replay analytics, LLM observability, vector search and hosting, and developer platforms. The README groups entries with short summaries and points to further resources maintained by the projects. The repository is maintained by the e2b team and invites community feedback and pull requests. The project provides community pointers such as social channels and a Discord for discussion and support.
Use Cases
This collection helps developers and teams quickly discover and compare tooling options when building AI agents. It aggregates short descriptions of SDKs and platforms for tasks such as runtime execution, monitoring and analytics, debugging, serverless hosting, and integrating LLMs. By listing representative projects and their roles, the repository reduces search time and surfaces emergent tooling used in agent ecosystems. The community-driven nature allows practitioners to suggest additions and corrections, keeping the list up to date. It also points to the e2b operating system for agents and to related agent databases, making it useful as an entry point for evaluating infrastructure, observability, and SDK choices for agent development.

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Content Creation (5042)
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Development Tools (1407)
Marketing & Social Media (1403)
Education & Career (1380)
Multi-Agent Platforms & Frameworks (1009)
Health & Life (957)
AI Resources (920)
Agents & Automation (778)
Data & Analytics (764)
Productivity Tools (679)
Writing & Editing (666)

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