crewai-core
Shared utilities for CrewAI — version, paths, user-data, telemetry, printer.
Decision gist · record as of 2026-08-14
No—install crewai-core only as a dependency of the main crewai package. It is a foundational utility with no direct user-facing API; installing it standalone offers no benefit. If you are building multi-agent workflows, install crewai instead, which will pull in crewai-core automatically. Verify the unclear license terms before use in restricted contexts.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python >=3.10 <3.14; intended as a dependency of crewai rather than direct use.
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a recent release and high repository engagement (57079 stars), though the package is a foundational utility rather than a standalone tool.
License · maintenance · safety
(unclear) — License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify licensing terms before use in proprietary or restricted contexts.
last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 57,079 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 4,168,935 downloads/mo, #2,369 on PyPI
Alternatives
Verify before relying
pip install crewai-core
from crewai_core import __version__
print(__version__)- Whether crewai-core is meant for direct application use or exclusively as an internal dependency of the main crewai package.
- Specific telemetry and observability capabilities beyond the summary description.
- License terms and conditions for use in commercial or proprietary projects.
What it is and what it does
CrewAI Core is a foundational utility package that supplies shared infrastructure for the CrewAI multi-agent framework. It handles version management, user data paths, telemetry collection and export (via OpenTelemetry), and configuration printing. The package depends on cryptography, JWT handling, HTTP clients, and structured data validation through Pydantic, suggesting it manages authentication, API communication, and configuration serialization for agent workflows.
This is a low-level component designed to support CrewAI's Crews (autonomous agent teams) and Flows (event-driven workflows) rather than a standalone tool. It provides the plumbing that allows agents to report metrics, logs, and traces to observability systems, and manages paths and versioning across the framework. Most developers will encounter it as a transitive dependency when installing the main crewai package.
Use it for
- Building observability and monitoring into multi-agent systems by leveraging the telemetry infrastructure.
- Accessing shared configuration, version info, and user data paths when extending or integrating CrewAI.
- Enabling OpenTelemetry-based tracing and metrics export for production agent deployments.
- Managing authentication and secure communication in agent workflows through cryptography and JWT utilities.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No—install crewai-core only as a dependency of the main crewai package.
It is a foundational utility with no direct user-facing API; installing it standalone offers no benefit. If you are building multi-agent workflows, install crewai instead, which will pull in crewai-core automatically. Verify the unclear license terms before use in restricted contexts.
Install
crewai-core on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release and high repository engagement (57079 stars), though the package is a foundational utility rather than a standalone tool.
Requires Python >=3.10 <3.14; intended as a dependency of crewai rather than direct use.
License in practice
License treatment is unclear—no SPDX identifier or raw license text is available in the package metadata. Verify licensing terms before use in proprietary or restricted contexts.
Quickstart
pip install crewai-core
from crewai_core import __version__
print(__version__)
Verify before relying
- Whether crewai-core is meant for direct application use or exclusively as an internal dependency of the main crewai package.
- Specific telemetry and observability capabilities beyond the summary description.
- License terms and conditions for use in commercial or proprietary projects.
Package facts
| License | Not declared unclear |
| Python support | Supports the current Python release <3.14,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 12 packagesappdirscryptographyhttpxopentelemetry-apiopentelemetry-exporter-otlp-proto-httpopentelemetry-sdkpackagingportalockerpydanticpyjwtrichtomli |
| Maintenance | Actively maintained 0 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 4,168,935 / month, #2,369 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: crewai_core-1.15.16-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “crewai core utilities”
- crewai-coreProvides shared utilities, telemetry, and configuration…
- crewai-cliA command-line tool to scaffold, run, deploy, and manage AI agent…
- openinference-instrumentation-crewaiAutomatically instruments CrewAI agent applications with…
Give your agent the search over MCP, or paste the wish link into any chat.
More Application Frameworks packages
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides a way to document function parameters, class attributes, return types, and variables inline using Python's `Annotated` type hint syntax instead of traditional docstrings.
Textual is a Python framework for building cross-platform user interfaces that run in the terminal or web browser using a modern, component-based API.
Install it if you're developing CLI tools, dashboards, or interactive terminal applications.
Typer builds command-line applications from Python functions using type hints, automatically generating help text, argument parsing, and shell completion.
Install it if you are building CLIs in Python.
Build and connect to Model Context Protocol servers that expose tools, resources, and prompts to LLM applications over stdio, HTTP, or SSE transports.
Install it if you need to build or connect to servers.
Werkzeug is a WSGI utility library providing request/response objects, URL routing, an interactive debugger, HTTP utilities, and a development server for building web applications.
See also crewai · crewai-cli · crewai-tools · crewai-files · opentelemetry-instrumentation-crewai · openinference-instrumentation-crewai · datarobot-genai · cua-core · PraisonAI · microsoft-agents-a365-runtime