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Bring your project’s code and documents into Jitera, build context through conversations with AI agents, and let agents understand your team’s knowledge to execute real tasks.

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Why Jitera

Eliminate knowledge silos

Capture tacit knowledge and scattered documentation in a form AI can use. Knowledge is preserved even as team members change.

AI agents work as team members

Agents understand your project’s context and autonomously execute tasks like documentation creation and reporting.

Code, docs, and context in one place

Consolidate code repositories, documents, and context graphs in a single platform. Prevent information silos.

Team collaboration

Multiple members and AI agents co-edit documents in real time. Discuss with agents together in group chat.

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Who is it for

  • PMs & EMs — Maintain a big-picture view of your project and create documents and reports together with AI agents
  • Engineering teams — Deepen understanding of your codebase and auto-generate technical documentation
  • Organizations building AI-powered teams — Give agents context and automate routine work

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What you can do

Reporting

Agents analyze your codebase and project status to auto-generate reports.

Reverse engineering

Connect an existing code repository and let AI analyze and document its architecture and dependencies.

PRDs & specs

Create PRDs and specifications through conversations with agents, grounded in your project’s context.

Customer support agents

Build agents loaded with your product’s knowledge to automate support responses.

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How Jitera works

1

Create a project

Create a team and project. A project is the unit that brings together agents, documents, and context.
2

Configure your agents

Create custom agents tailored to your needs and configure their AI models and skills. Default agents are also available out of the box.
3

Connect external data

Connect GitHub or GitLab repositories so agents can read your codebase, and link external services like Slack, Jira, and Notion to agents via MCP.
4

Agents learn your organization's context

Enable Learning Mode while chatting with agents. Your project’s knowledge is structured and accumulated as a context graph. Agents learn your organization’s tacit knowledge and leverage it in future conversations.
5

Agents create documents and execute tasks

Leveraging learned context and external data, agents create documentation, analyze code, generate reports, and more.
6

Share context across your team

Knowledge built by agents is shared across the entire team. As new members join, agents carry forward the project’s context.

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Explore the documentation

Quick Start

From account creation to your first project setup

AI Agents

Chat, tool calls, and group chat

Agent Customization

Create agents, connect apps, skills, and automation

Documents

Create, edit, and collaborate in real time

Project & Organization

Project creation, code sources, member management

Self-Hosted

Deployment, configuration, and operations guides

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Support

FAQ

Answers to frequently asked questions

Contact Support

Get help from our support team