GraphCanon updated 2w · GitHub synced 2w
Decision brief
AgentsMesh is an AI Agent Workforce Platform with tools for managing multiple local coding agents across various machines via a central console.
Good fit when
- When you need to manage and orchestrate numerous AI coding agents locally on your infrastructure
- For self-hosted environments where full control over code security and compliance requirements are paramount
Avoid when
- If you do not require the management of multiple, distributed AI coding agents
- When you prefer a managed service without self-hosting responsibilities, as AgentsMesh requires setting up infrastructure manually
Observed Jul 14, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (1d since push)
- As of 2w
- Provenance
- Not a fork · Organization account
- As of 2w
- Security (OSV)
- 24 low (24 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
go get github.com/AgentsMesh/AgentsMeshSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A platform for scheduling and executing a large number of AI coding agents locally across various machines from one centralized console.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Aug 2, 2026
- Languages
- go, javascript, typescript
Source: github.language+package.json · Aug 2, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 2, 2026)
**Prerequisites:** Go 1.24+, Node.js 20+, pnpm, DockerSource link
Tags
README
Getting Started
The fastest way to use AgentsMesh is the hosted service at agentsmesh.ai — sign up, connect your Git provider, and start running agents in minutes. Bring your own AI API keys (BYOK): no usage caps, full cost control.
1. Install a Runner
The Runner is a lightweight daemon that runs on your machine and executes AI agents locally. Your code stays on your infrastructure. Install one per machine you want in the fleet.
curl -fsSL https://agentsmesh.ai/install.sh | sh
See the Runner README for more installation options (deb, rpm, Windows, etc.)
Quick Start
Run the whole stack locally with one command.
git clone https://github.com/AgentsMesh/AgentsMesh.git
cd AgentsMesh/deploy/dev
./dev.sh
This starts the full stack: PostgreSQL, Redis, MinIO, Backend, Relay, Traefik, and a local Next.js frontend with hot reload.
Access:
| Service | URL |
|---|---|
| Web Console | http://localhost:3000 |
| API | http://localhost:80/api |
Test Accounts:
| Role | Password | |
|---|---|---|
| User | dev@agentsmesh.local | devpass123 |
| Admin | admin@agentsmesh.local | adminpass123 |
Ports are dynamically allocated per worktree. Check
deploy/dev/.envfor actual values.
Manual Setup
Prerequisites: Go 1.24+, Node.js 20+, pnpm, Docker
---
# 1. Start infrastructure
cd deploy/dev && ./dev.sh
---
# 2. Backend (auto-starts in Docker with hot reload)
docker compose logs -f backend
---
## License
[Business Source License 1.1](LICENSE) (BSL-1.1)
- **Change Date:** 2030-02-28
- **Change License:** GPL-2.0-or-later
The BSL allows you to use, copy, and modify the software for non-production purposes. Production use requires a commercial license until the change date, after which the software becomes available under GPL-2.0-or-later. See [LICENSE](LICENSE) for the full terms and additional use grant.
For agents
This page has a .md twin and JSON over the API.