Most AI work disappears into personal chat histories. Agent Package helps you turn it into reusable workflows and portable context that humans and agents can fork, improve, and build on. It’s not only what to prompt, but the whole actual workflow. The decisions, steps, review logic, and the entire background context. You can then reuse that knowledge across different tools (Claude Code, ChatGPT, Slack, whatever you use), share it to any discussion threads and your team. Stop starting over.
Hey Product Hunt 👋
I'm Hiroki, founder of Epismo. I built Agent Package because I kept getting the same problem: had an efficient workflow with my AI agent, and the session ends, and the work disappears. And I had to rebuild context from scratch next session or when switching to another tool. Sometimes I share a chat link to a teammate and I get it, it’s just tedious to read through.
The real issue is that we've been sharing the wrong unit. Prompts capture what to ask, but they don't capture the decisions, the steps, logic, or the context that made the best results.
Agent Package turns AI work into reusable packs:
Workflow Pack captures how work runs: steps, human-agent handoffs, review logic, and acceptance checks, basically the whole operational path.
Context Pack captures what the work depends on: project background, decisions, standards, assumptions, and reusable knowledge.
You don't have to build it yourself. Fork a workflow from the community, whether that's market research, hiring, or product launches, then customize it anyhow. It’s simple normally (answer a few questions, or just chat with the AI using prompts that are already written) and from there, your only job is to make sure it runs well. No researching, no planning nor discussing, it saves a lot of time!
You can install packs via CLI or MCP, load them into your agent, and use them across Claude, ChatGPT, Cursor, Slack, or whatever you’re already using.
What I'm most excited about is the community layer. You can keep packs private, share them with your team, or publish them so others can fork and improve them. The best AI workflows shouldn't stay locked in one person's chat history. They should compound.
I'd love to hear: what's the AI workflow you keep rebuilding from zero? Drop it below and I'll help turn a few into packs in this thread.
Thanks for checking this out 🙏
This hits a real pain point, especially losing context between sessions and having to rebuild the same thinking over and over. I like the shift from just prompts to capturing the actual workflow and decisions behind the work, that part feels more useful long term. I’ve run into this a lot switching tools mid-task, so this resonates. I just upvoted it, nice work shipping this.
I could see a world where teams publish context packs for their APIs so that anyone building integrations with them gets better AI results out of the box. Are you seeing that kind of use case emerge yet, or is it mostly individual teams packaging their own internal context?
About Epismo Agent Package on Product Hunt
“Run agent workflows the community already built”
Epismo Agent Package launched on Product Hunt on April 27th, 2026 and earned 103 upvotes and 5 comments, placing #14 on the daily leaderboard. Most AI work disappears into personal chat histories. Agent Package helps you turn it into reusable workflows and portable context that humans and agents can fork, improve, and build on. It’s not only what to prompt, but the whole actual workflow. The decisions, steps, review logic, and the entire background context. You can then reuse that knowledge across different tools (Claude Code, ChatGPT, Slack, whatever you use), share it to any discussion threads and your team. Stop starting over.
Epismo Agent Package was featured in Productivity (651.2k followers), Artificial Intelligence (467.9k followers) and Community (3k followers) on Product Hunt. Together, these topics include over 226.4k products, making this a competitive space to launch in.
Who hunted Epismo Agent Package?
Epismo Agent Package was hunted by Hiroki. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Hiroki