TaskWeaver
VerifiedCode-first agent framework for stateful data analytics execution.
What is TaskWeaver?
TaskWeaver is an open-source code-first agent framework designed to plan and carry out data analytics tasks by generating and running code while coordinating available plugins.
It works by interpreting requests as executable code, maintaining full conversation and execution histories, and operating in a stateful way that supports iterative data processing.
The framework targets users who need reliable coordination of analytics functions on structured data and prefer a code-centric workflow over pure text-based agents.
Capabilities
What you can build with TaskWeaver
Tabular Data Processing
Run analytics on high-dimensional tables while keeping intermediate results in memory across steps.
Plugin-Coordinated Workflows
Combine multiple function plugins into a single plan that executes data tasks without losing state.
Local Model Deployment
Operate the agent with smaller locally hosted language models for analytics pipelines.
Install TaskWeaver
# [optional to create conda environment]
# conda create -n taskweaver python=3.10
# conda activate taskweaver
# clone the repository
git clone https://github.com/microsoft/TaskWeaver.git
cd TaskWeaver
# install the requirements
pip install -r requirements.txt- 1Obtain the all-in-one Docker image for a complete setup.
- 2Switch to container mode for code execution security.
- 3Configure shared memory and experience features if needed.
- 4Start the agent and submit a data analytics request.
- 5Review both chat and code execution history for results.
TaskWeaver: pros & cons
Pros
- +Maintains code execution history and in-memory data
- +Stateful plugin coordination for iterative tasks
- +Strong support for complex tabular structures
- +Works with local language models and Docker
Cons
- –Focused mainly on data analytics use cases
- –Requires comfort with code generation and execution
- –Additional setup needed for container or shared memory features
Frequently asked questions
Yes, it preserves both chat history and code execution history including in-memory data.
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