Abject: the first self-aware object runtime
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I've felt Agents are the wrong abstraction. This is a project I've been working on that takes what I call the Ask Protocol and tries to build a system with it from the ground up.
HN · launched Apr 2, 2026 · 10 upvotes (top 41%) · 1 view
Niche: ai agent runtime environments · 745 launches, 498 in the last 7 days ▲ +916% · Explore this niche →
Category and tags
- Horizontal
- Dev tools
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 745 launches in ai agent runtime environments →
Could you build this?
Partial Implementing a novel conceptual runtime and custom agent-to-object protocol requires designing non-standard language execution semantics and distributed actor message systems.
What it would actually take: Building an autonomous object runtime requires implementing a custom execution engine (e.g., using WebAssembly, Node VM, or a custom actor model) where state, behaviors, and dynamic LLM invocations are unified under an RPC/Ask protocol. The hard parts are defining safe memory boundaries, cycle detection in dynamic object-to-object prompts, and deterministic state persistence. It demands expertise in programming language runtime design, distributed actor systems, and resilient IPC patterns.
Discussion
4 comments analyzed.
Concerns raised: System is alpha/needs stability assurance, Unclear terminology and product naming
Feature requests: Better getting started instructions, Clearer documentation of commands (conjure/awaken/scry/whisper), Explain how to input goals
Competitors
Other products that read as similar to this one : 283 launches clear the similarity bar, closest 8 shown.
Attention rank: #120 of 284 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 150 days after the earliest competitor.
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- Impossible Machines: declaratively program the physical world · hn · 2026-10-22 · 81 upvotes · similarity 0.40
- agentsentinel · ph · 2026-11-03 · 1 upvotes · similarity 0.40
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