copilotkit
CopilotKit python SDK
Decision gist · record as of 2026-08-14
Yes. CopilotKit is actively maintained, has no known vulnerabilities, installs cleanly, and solves a real problem—reducing boilerplate when building AI copilots on LangChain/LangGraph. The MIT license is permissive. Install it if you are building a FastAPI or LangChain application and want a higher-level agent framework; skip it if you prefer lower-level control over your agent orchestration.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later; depends on langgraph, langchain, fastapi, and other runtime dependencies that may require additional setup.
- Low install friction with a pure-Python wheel.
- Active maintenance with recent commits and substantial community engagement (36761 stars).
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.
last release 2026-06-04 (71 days) · last repo commit 2026-08-14 · 36,761 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 526,403 downloads/mo, #6,177 on PyPI
Alternatives
Verify before relying
pip install copilotkit
from copilotkit import Copilot
copilot = Copilot()
copilot.add_tool(my_custom_tool)
response = copilot.run("Your task description here")- Whether the optional CrewAI integration (mentioned in description) is production-ready or experimental.
- Performance characteristics and latency overhead when running copilots with large conversation histories.
- Whether stateful conversation support persists across process restarts or requires external storage.
What it is and what it does
CopilotKit is a Python framework for embedding AI copilots and agents into applications. It provides a high-level abstraction over LangGraph and LangChain, handling the plumbing needed to wire up conversational agents with tool support, FastAPI endpoints, and stateful session management. The package is designed to reduce boilerplate when you want to add an AI assistant to an existing application—you initialize a Copilot instance, register your custom tools, and call run() to execute tasks.
The SDK targets developers building production AI features who want to avoid reinventing agent scaffolding. It ships with 8 runtime dependencies (langgraph, langchain, fastapi, pydantic-core, and others) and is actively maintained with recent releases. The project has significant community adoption and offers optional CrewAI integration for more complex multi-agent workflows.
Use it for
- Add a conversational AI assistant to a web application using FastAPI endpoints and LangChain tools.
- Build a stateful chatbot that maintains context across multiple user interactions within a session.
- Create custom agents that execute domain-specific tasks by composing LangGraph workflows with tool integrations.
- Prototype and deploy AI copilots without writing low-level LangChain orchestration code.
- Integrate CrewAI-based multi-agent systems into Python applications for complex task automation.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
CopilotKit is actively maintained, has no known vulnerabilities, installs cleanly, and solves a real problem—reducing boilerplate when building AI copilots on LangChain/LangGraph. The MIT license is permissive. Install it if you are building a FastAPI or LangChain application and want a higher-level agent framework; skip it if you prefer lower-level control over your agent orchestration.
Install
copilotkit on PyPI
Before you install
Low install friction with a pure-Python wheel. Active maintenance with recent commits and substantial community engagement (36761 stars). Supports modern Python versions (3.10–3.14).
Requires Python 3.10 or later; depends on langgraph, langchain, fastapi, and other runtime dependencies that may require additional setup.
License in practice
MIT license permits commercial and private use with minimal restrictions; you may use, modify, and distribute the package freely provided you include the license notice.
Quickstart
pip install copilotkit
from copilotkit import Copilot
copilot = Copilot()
copilot.add_tool(my_custom_tool)
response = copilot.run("Your task description here")Verify before relying
- Whether the optional CrewAI integration (mentioned in description) is production-ready or experimental.
- Performance characteristics and latency overhead when running copilots with large conversation histories.
- Whether stateful conversation support persists across process restarts or requires external storage.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release <3.15,>=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 8 packageslanggraphlangchainag-ui-langgraphag-ui-protocolfastapipartialjsontomlpydantic-core |
| Maintenance | Actively maintained 71 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 526,403 / month, #6,177 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | License :: OSI Approved :: MIT LicenseProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14 |
Evidence: copilotkit-0.1.94-py3-none-any.whl
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See also microsoft-agents-copilotstudio-client · agent-framework-copilotstudio · langgraph · uipath-langchain · crewai · agent-framework-github-copilot · github-copilot-sdk · microsoft-agents-activity · langchain-azure-ai