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IvyClaw

A production-oriented multi-agent AI Agent system for software engineering. | 面向软件研发任务的多智能体 AI Agent 工程系统

Details

External ID
1367954971
Source
GITHUB
Company
—
Product
IvyClaw
Website domain
github.com
Launched
Sept. 13, 2026
Cohort
—
Upvotes
61
Upvotes percentile
0.8643351268255188
Tags
ai-agents, deepagents, deepagents-langgraph, llm, llm-agent, llm-agents, multi-agent, multi-agent-systems
Fetched at
Sept. 17, 2026, 5:02 p.m.
Updated at
Sept. 17, 2026, 5:02 p.m.

Enrichment

Theme
AI coding agents and developer tools
Vertical
Horizontal
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
multi-agent system for software engineering
Manually corrected
False

Could you build this?

Partial While multi-agent orchestration frameworks can be assembled with AI assistants, creating a reliable production-grade software engineering agent requires sophisticated sandboxed execution, code AST analysis, and test validation loops.

What it would actually take: A production implementation requires an orchestration engine (like LangGraph or custom actor-model orchestrator in Python/Go) integrated with secure, isolated microVM environments (Firecracker or Docker) for executing and testing code safely. It needs semantic code search over repositories using tree-sitter or LSP servers, persistent state tracking, and carefully tuned multi-step feedback loops with automated regression testing to prevent hallucinations in complex codebases.

Competitors

Other products that read as similar to this one — 2060 launches clear the similarity bar, closest 8 shown.

Attention rank: #249 of 2061 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 319 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.