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Agent Swarm

Multi-agent self-learning teams (OSS)

Details

External ID
47165046
Source
HN
Company
—
Product
Agent Swarm
Website domain
github.com
Launched
Feb. 26, 2026
Cohort
—
Upvotes
63
Upvotes percentile
0.8443396226415094
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Enrichment

Theme
autonomous agent research and evaluation
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
multi-agent self-learning teams
Manually corrected
False

Could you build this?

Yes It is an orchestration framework that connects LLM agents through structured prompt chains and vector-based memory loops.

Discussion

20 comments analyzed.

Competitors mentioned: agents.md, nullclaw, openclaw

Concerns raised: No revenue-generating apps built with it yet, just hype cycle, Context files increase inference cost 20%+ with marginal performance gains, Token overhead of identity files vs actual performance gains not measured, Sub-agents mostly overkill for most AI interactions, burns through tokens, Session history lost when closing, poor GUI/TUI discourages relying on history

Feature requests: Better tools and immutable session history storage like email programs, Ability to persist ephemeral specs and track valuable sessions without closing, Cross-session learning without context bloat

Competitors

Other products that read as similar to this one — 1814 launches clear the similarity bar, closest 8 shown.

Attention rank: #243 of 1815 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 120 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a agent / copilot tool for Agriculture yet.