ASI:One — a personal AI with memory that plans and acts for you
Remembers your preferences, collaborates with other AIs, and executes tasks like night-out planning and bookings automatically. Connected to millions of agents via Agentv
Five-second summary
Remembers your preferences, collaborates with other AIs, and executes tasks like night-out planning and bookings automatically. Connected to millions of agents via Agentverse for research, planning, real-world actions. Product Hunt upvotes: 720. Pricing: Freemium. Maker: Fetch.ai team.
What it is
Built by Fetch.ai team. Remembers your preferences, collaborates with other AIs, and executes tasks like night-out planning and bookings automatically. Connected to millions of agents via Agentverse for research, planning, real-world actions. The product narrows in on a specific gap that tools in the same category haven't fully closed.
Differentiators against peer PH launches: weekly upvote velocity (720), maker reputation, and pricing posture (Freemium). Free-trial-to-paid is the typical path; freemium products reward running a small slice of your own workload through the free tier first.
First-impressions
Reading PH comments and demo coverage, the consistent strength is immediacy — outputs land fast and slot into existing workflows. The recurring criticism is degraded performance on edge cases or large inputs. Net read: solid in the core use case, still maturing on the long tail.
At Freemium, the adoption barrier is low — solo developers and small teams can decide within a week. That low-friction pricing curve is a common trait of top-tier PH launches.
Three core features
- Core workflow automation — Remembers your preferences, collaborates with other AIs, and executes tasks like
- Integration with existing tools and platforms (most top PH launches start with one or two major integrations)
- Free or freemium entry — low adoption friction
Pricing / free tier
Public pricing page: Freemium. Freemium products typically meter on usage (calls, data volume, seat count). Paid plans usually branch on usage × seats × custom integrations. Estimate your monthly usage before committing so you're not auto-walked out of the free tier mid-month.
Best fit
개인용 AI 비서가 '메모리 + 멀티에이전트 협업'으로 한 단계 진화. If your workflow has a daily repeat task that overlaps with this product's core use case, push it up the trial queue. If your inputs are highly domain-specific or non-standard, lean toward a more mature SaaS in the same category as your primary comparison.
Similar tools
The category mixes mature SaaS and freshly minted OSS. This launch sits in the middle — less raw than OSS, lighter than enterprise SaaS. If you're between those two poles, it's a strong candidate for a short trial.
One-line takeaway
Remembers your preferences, collaborates with other AIs, and executes tasks like night-out planning and bookings automatically. Connected to millions of agents
Sources
관련 기사

OpenAI Put a Terminal in Its API – From Model Company to Agent Platform
OpenAI's Responses API now includes Shell tool, hosted containers, Skills, and Context Compaction. An agent infrastructure that maintains accuracy across 5-million-token sessions.

This AI Rewrites Its Own Code — MiniMax M2.7's Self-Evolution Experiment
MiniMax M2.7 autonomously improved itself over 100+ iterations, scoring 56.22% on SWE-Pro — near Claude Opus 4.6 levels — at 1/50th the price.
lsdefine/GenericAgent — self-evolving agent that grows a skill tree from a 3.3K-line seed
Starts from a 3.3K-line seed and grows a skill tree as it encounters tasks, reportedly hitting full system control with 6× less token consumption than equivalent agents.
AI 트렌드를 앞서가세요
매일 아침, 엄선된 AI 뉴스를 받아보세요. 스팸 없음. 언제든 구독 취소.