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Bear
AI-driven package manager for Skills, Rules & Memory
CTXPM (Context Package Manager) is an open-source, AI-first protocol that organizes Skills, Rules, Prompts, Memory, and MCP into two clear ownership types - dependency and package - so your AI coding agent can check, update, and validate them on its own. * dependency: external AI resources (Git, OCI, file path) you don't own. Tracked by source/version, not committed to your repo. * package: resources your project owns. Reviewed and versioned right alongside your source code.
I built Bear. CTXPM because every AI coding project I worked on eventually became a junk drawer: skills, rules, prompts, MCP configs, and memories piling up with no clear line between "stuff I imported" and "stuff my project actually owns." Months later nobody could tell which files belonged in Git, whether an external skill was outdated, or whether a rule applied to the whole team or just one repo.
CTXPM (Context Package Manager) is an open-source protocol and CLI that treats AI resources like code dependencies, with two semantics:
dependency: external Skills/Rules/Prompts/Memory/MCP you don't own, tracked by source and version, not committed
package: resources your project owns, reviewed and versioned with your source code
The protocol is AI-first. The rules live inside your agent's entry doc (AGENTS.md / CLAUDE.md / etc.), so your coding agent reads them itself and autonomously checks for dependency updates, fixes broken entry symlinks, and flags unmanaged resources during normal coding and review. It only interrupts you for real decisions: migrate this? upgrade that? which rule wins a conflict?
Getting started is one line you hand to your agent:
Please detect, install, initialize, and transform this project according to the instructions in https://raw.githubusercontent.co... to make it a CTXPM protocol structure for managing AI dependencies and AI resources.
Would love feedback, especially from anyone juggling multiple agents (Claude Code, Cursor, etc.) across the same repo, or maintaining shared skills/rules across many projects. AMA! 🐻❄️
About Bear on Product Hunt
“AI-driven package manager for Skills, Rules & Memory”
Bear was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #160 on the daily leaderboard. CTXPM (Context Package Manager) is an open-source, AI-first protocol that organizes Skills, Rules, Prompts, Memory, and MCP into two clear ownership types - dependency and package - so your AI coding agent can check, update, and validate them on its own. * dependency: external AI resources (Git, OCI, file path) you don't own. Tracked by source/version, not committed to your repo. * package: resources your project owns. Reviewed and versioned right alongside your source code.
On the analytics side, Bear competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Bear performed against the three products that launched closest to it on the same day.
Who hunted Bear?
Bear was hunted by Dino S. Liu . 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.
For a complete overview of Bear including community comment highlights and product details, visit the product overview.
Dino S. Liu 
👋 Hey Product Hunt!
I built Bear. CTXPM because every AI coding project I worked on eventually became a junk drawer: skills, rules, prompts, MCP configs, and memories piling up with no clear line between "stuff I imported" and "stuff my project actually owns." Months later nobody could tell which files belonged in Git, whether an external skill was outdated, or whether a rule applied to the whole team or just one repo.
CTXPM (Context Package Manager) is an open-source protocol and CLI that treats AI resources like code dependencies, with two semantics:
dependency: external Skills/Rules/Prompts/Memory/MCP you don't own, tracked by source and version, not committed
package: resources your project owns, reviewed and versioned with your source code
The protocol is AI-first. The rules live inside your agent's entry doc (AGENTS.md / CLAUDE.md / etc.), so your coding agent reads them itself and autonomously checks for dependency updates, fixes broken entry symlinks, and flags unmanaged resources during normal coding and review. It only interrupts you for real decisions: migrate this? upgrade that? which rule wins a conflict?
Getting started is one line you hand to your agent:
100% open source: github.com/gBearBest/Bear.CTXPM
Would love feedback, especially from anyone juggling multiple agents (Claude Code, Cursor, etc.) across the same repo, or maintaining shared skills/rules across many projects. AMA! 🐻❄️