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OpenSwarm

Multi‑Agent Claude CLI Orchestrator for Linear/GitHub

Details

External ID
47160980
Source
HN
Company
—
Product
OpenSwarm
Website domain
github.com
Launched
Feb. 26, 2026
Cohort
—
Upvotes
34
Upvotes percentile
0.7580862533692723
Tags
—
Fetched at
Sept. 7, 2026, 9:25 p.m.
Updated at
Sept. 7, 2026, 9:25 p.m.

Description

I built OpenSwarm because I wanted an autonomous “AI dev team” that can actually plug into my real workflow instead of running toy tasks. OpenSwarm orchestrates multiple Claude Code CLI instances as agents to work on real Linear issues. It: • pulls issues from Linear and runs a Worker/Reviewer/Test/Documenter pipeline • uses LanceDB + multilingual-e5 embeddings for long‑term memory and context reuse • builds a simple code knowledge graph for impact analysis • exposes everything through a Discord bot (status, dispatch, scheduling, logs) • can auto‑iterate on existing PRs and monitor long‑running jobs Right now it’s powering my own solo dev workflow (trading infra, LLM tools, other projects). It’s still early, so there are rough edges and a lot of TODOs around safety, scaling, and better task decomposition. I’d love feedback on: • what feels missing for this to be useful to other teams • failure modes you’d be worried about in autonomous code agents • ideas for better memory/knowledge graph use in real‑world repos Repo: https://github.com/Intrect-io/OpenSwarm Happy to answer questions and hear brutal feedback.

Enrichment

Theme
AI agent frameworks and developer tools
Vertical
—
Function
Agent / copilot
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
multi-agent claude orchestrator for linear and github
Manually corrected
False

Could you build this?

Yes It is an automation script that connects Linear webhooks and API calls to Claude Code CLI processes.

Discussion

17 comments analyzed.

Competitors mentioned: OpenClaw with Gemini 2.5 Flash Lite, Claude Code CLI, Dagger with Gemini-flash, CUE and ADK-Go

Concerns raised: Context drift cascading between agents in the chain, Agents miss quality gates like docstrings and edge cases, Agents hallucinate and require babysitting to prevent drift, Unclear if LanceDB memory actually improves repeated task performance, Too many agent orchestrators being built—sustainability and maintenance questions

Feature requests: Support for multiple reviewer models (Codex, Aider) to catch more issues, Broader provider compatibility beyond Claude, Consensus/democracy policy engine between agents, Explicit confidence-halt mechanism injected into worker context, Version control for structured log schema across runs

Competitors

Other products that read as similar to this one — 540 launches clear the similarity bar, closest 8 shown.

Attention rank: #136 of 541 (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