GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows.
Good fit when
- When you need a local-first AI agent experience that you can fully control and customize.
- If you are looking for a platform that supports various deployment methods, including Docker and cloud services like AWS, GCP, and Digital Ocean.
Avoid when
- If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management.
- When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity.
- Pricing:
- freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.
- Requirements:
- Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
npm install anything-llmHow it fits your stack(19)
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Evidence and technical details
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Overview
A local-first AI agent platform for agentic workflows and orchestration, supporting various deployment methods.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Sep 18, 2026
- Languages
- javascript
Source: github.language+package.json · Sep 18, 2026
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README
🛳 Self Hosting Mintplex Labs & the community maintain a number of deployment methods, scripts, and templates that you can use to run AnythingLLM locally. Refer to the table below to read how to deploy on your preferred environment or to automatically deploy. Docker AWS GCP Digit...
For agents
This page has a .md twin and JSON over the API.