This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Dhee
Context compiler for coding agents
Dhee is an open-source context firewall for AI coding agents. It decides what agents should see, remember, forget, compress, and expand each turn, so Claude Code, Codex, Cursor and other MCP clients stop drowning in stale files, logs and transcripts. It runs locally, supports repo-shared context, handoff state, evidence pointers, Dhee UI, and reports 99.4% R@5 on LongMemEval.
Hey Product Hunt 👋
I built Dhee because AI coding agents are getting powerful, but their context is still messy.
Claude Code, Codex, Cursor and other agents can write code fast, but they keep rereading the same files, lose decisions after compaction, carry stale context, and flood the model with huge logs or diffs.
Dhee is my attempt to fix that. It runs locally beside your coding agent and acts like a context firewall: deciding what the agent should see, remember, forget, compress, or expand each turn.
It supports MCP, Claude Code, Codex, repo-shared context, handoff state, evidence pointers, and a local UI to inspect what was injected or hidden.
The goal is simple: your agent should not see everything. It should see the right thing, with proof.
Would love feedback from builders using AI coding agents daily.
About Dhee on Product Hunt
“Context compiler for coding agents”
Dhee was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #133 on the daily leaderboard. Dhee is an open-source context firewall for AI coding agents. It decides what agents should see, remember, forget, compress, and expand each turn, so Claude Code, Codex, Cursor and other MCP clients stop drowning in stale files, logs and transcripts. It runs locally, supports repo-shared context, handoff state, evidence pointers, Dhee UI, and reports 99.4% R@5 on LongMemEval.
On the analytics side, Dhee 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 Dhee performed against the three products that launched closest to it on the same day.
Who hunted Dhee?
Dhee was hunted by Ashish Dwivedi. 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 Dhee including community comment highlights and product details, visit the product overview.