AI-Ready Activity Layer

Your work,
organizes itself.

The unified activity layer for the AI era.

Automatically collects and structures activities scattered across GitHub, Slack, Jira, and more — providing context that AI agents can use directly.

GitHubSlackJira+ more
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Available for macOS, Windows, and Linux

Work Context Timeline

Everything connects into one.

Automatically links PRs, issues, commits, and messages across systems. The timeline view makes your work connections visible.

  • Centralize activity across multiple repos and tools
  • Automatically link tasks, PRs, and conversations
  • Organize fragmented work history chronologically
Acteedog timeline view — context-aware activity across GitHub projects

AI Integration

Hand it straight to AI.

Structured activities are ready to use as AI context. Access cross-tool work data directly from AI through the MCP server.

  • Directly access activities from AI via MCP server
  • Generate daily reports with one click from the GUI
  • Works with any LLM
AI Agent (Claude Code, Codex, Gemini CLI, OpenCode, etc.)

Can you recall everything you did today?

The more tools you use, the more effort it takes to prepare context. Activities are scattered across tools, connections are lost, and you end up reconstructing and reorganizing later. Acteedog takes care of all of that.

Work logs are split by tool
PRs, issues, commits, and messages are scattered — the overall flow is invisible.
AI alone can't reconstruct your workflow
Fetching activities from individual tool APIs or MCPs loses the flow and relationships. Gaps and noise prevent accurate context.
Reconstruction work happens every time
Every report or retrospective requires gathering information all over again.
Hard to use as a valuable asset
Even with work logs, they're not organized in a way that supports self-evaluation or retrospectives.

This is what work logs should be in the AI era.

Acteedog keeps your work log accurate, reproducible, and private — in a form usable by both AI and humans.

Automatic structuring and linking
Links PRs, issues, commits, and messages across systems. Set it up once and activity is collected automatically.
Ready for AI to use directly
Structured data is available directly to AI via MCP. Generate LLM reports with your own API key. Supports customizable prompts.
Full control, your way
Freely customize prompts and output formats. Works with any LLM.
Local-first and secure
All activity data is stored locally and never sent to our servers.

Who It's For

Developers

For those who want to streamline their work with AI — and let AI handle organizing their work logs too.

People Building Products

Working across multiple tools and want one place to review your activity? Automatically collect your contributions and see the full picture.

Designers, Marketers & Operators

Managing async workflows across tools like Slack and Jira? Automatically capture activity from every channel and turn it into daily reports.

Sales & Customer Success

Working in chat-driven environments? Automatically organize your work from conversation history.

Anyone Who Wants Their Work Documented

If you work across multiple tools and want your activity automatically captured and clearly summarized, this is for you.

Focus on Your Work.
Let Acteedog handle the organizing.

Acteedog automatically collects and structures your activity, building up a work log usable by both AI and humans. No more reconstructing things after the fact. It also runs as an MCP server, so AI agents can reference it directly.

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Auto-collected
Cross-platform
AI-ready
Local-first