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AgentHelm
Shared memory & coordination layer for AI agent teams
AgentHelm gives every AI coding agent a shared Project Brain — so Claude Code, Cursor, and custom agents all remember the same architecture, APIs, and decisions instead of starting from scratch each session. Unlike per-agent memory tools, it's one shared brain across unlimited agents. Built on open protocols (MCP, A2A), not a proprietary lock-in format. One Project. One Brain. Unlimited AI Agents
Memory handoff between runs actually works, finally my agents stop forgetting mid-project. Loved how it slotted into my python stack with just that one line change.
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About AgentHelm on Product Hunt
“Shared memory & coordination layer for AI agent teams”
AgentHelm was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #57 on the daily leaderboard. AgentHelm gives every AI coding agent a shared Project Brain — so Claude Code, Cursor, and custom agents all remember the same architecture, APIs, and decisions instead of starting from scratch each session. Unlike per-agent memory tools, it's one shared brain across unlimited agents. Built on open protocols (MCP, A2A), not a proprietary lock-in format. One Project. One Brain. Unlimited AI Agents
AgentHelm was featured in API (98.4k followers), Developer Tools (516.2k followers) and Artificial Intelligence (474.1k followers) on Product Hunt. Together, these topics include over 195.9k products, making this a competitive space to launch in.
Who hunted AgentHelm?
AgentHelm was hunted by THARAGESH .A. 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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THARAGESH .A
Memory handoff between runs actually works, finally my agents stop forgetting mid-project. Loved how it slotted into my python stack with just that one line change.