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swarmclaw

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Self-hosted multi-agent runtime eliminates vendor lock-in and reduces inference costs by supporting 23+ LLM providers.

Open-source self-hosted AI agent runtime and multi-agent framework for autonomous agent swarms. Agent memory, MCP tools, schedules, delegation, and 23+ LLM providers (Claude, GPT, Gemini, OpenRouter, Ollama). A practical Claude Code and LangChain alternative.

643 starsMIT (commercial OK)FreeQuick setup

Self-hosted multi-agent runtime eliminates vendor lock-in and reduces inference costs by supporting 23+ LLM providers. Agent memory and scheduling enable persistent, autonomous workflows without rebuilding orchestration from scratch.

Teams building internal agent systems who need fine-grained control, cost optimization across LLM providers, or compliance requirements preventing cloud-hosted inference.

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https://github.com/swarmclawai/swarmclaw

By swarmclawai

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Instructions to paste into Claude
npm install -g @swarmclawai/swarmclaw
swarmclaw init

Or download the one-click desktop installer (macOS, Windows, Linux) from swarmclaw.ai/downloads. Docker Compose deployment also available.
First thing to try

After installing, paste this into Claude:

Help me autonomous document processing pipeline with persistent agent state
CostFree

Trust Signals Auto-scanned

Stars643Contributors15Last updated2026-06-30LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Community Pulse Active

Discussed on Hacker News, Reddit

3 mentions across 2 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 542 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.60 / 5.00 SolidEvaluatedJun 2026
Scored from trust signals (evidence-eval-v1): 542 GitHub stars; contributors unknown; last commit 1d ago; license MIT.

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