eliza
elizaOS is an open-source, local-first operating system and framework for building AI agents that run on desktop, mobile, and web. It emphasizes privacy by running the agent, models, and data on-device, with optional cloud services for hosting and synchronization.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | elizaOS/eliza |
| Owner | elizaOS |
| Primary language | TypeScript |
| License | MIT — OSI-approved |
| Stars | 18.7k |
| Forks | 5.6k |
| Open issues | 180 |
| Latest release | Unknown |
| Last updated | 2026-07-08 |
| Source | https://github.com/elizaOS/eliza |
What eliza is
TypeScript-based agentic runtime with pluggable architecture supporting model-agnostic LLM routing (OpenAI, Anthropic, local Eliza-1, etc.). Provides core primitives (actions, providers, services, evaluators), CLI tooling, API server, and native OS distributions (Linux, Android) alongside a web/desktop/mobile UI.
Get the eliza source
Clone the repository and explore it locally.
git clone https://github.com/elizaOS/eliza.gitcd eliza# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires Node.js/Bun environment and TypeScript familiarity; plugin development uses @elizaos/core primitives (actions, providers, services, evaluators). Start with CLI (elizaos create) and examples in packages/examples.
- Model routing is pluggable; choose between cloud-hosted inference (Eliza Cloud), local on-device models (Eliza-1), or external providers (OpenAI, Anthropic, etc.) in Settings → Model Routing.
- On-device deployment of Linux and Android distributions is in progress; full device certification and production update channels are documented as in-flight in per-target READMEs.
- Data storage and state synchronization across devices is optional via Eliza Cloud; local-only operation is first-class, but multi-device sync and dashboard control require cloud backend.
- Plugin ecosystem relies on npm packages tagged 'elizaos'; curated plugins in packages/registry, broader discovery at plugins.elizacloud.ai. Vetting and versioning practices not detailed.
When to avoid it — and what to weigh
- Require Mature Production Stability and SLAs — Project shows rapid development (created July 2024, last push July 2026) but no tagged releases. Production readiness for mission-critical systems requires demonstration of stability and update guarantees not evident from the data.
- Need Proprietary, Closed-Source Licensing — MIT license mandates attribution and permits derivative use but does not offer proprietary/commercial licensing variants or vendor lock-in mechanisms.
- Require Deep Integration with Legacy Enterprise Systems — Focus is on modern messaging, crypto wallets, and cloud-native deployment; tight coupling to traditional ERP, mainframe, or legacy protocol infrastructure is not documented.
- Expect Comprehensive, Audited Security Certifications — No mention of security audits, penetration testing results, or compliance certifications (SOC2, ISO 27001, etc.); local-first design reduces cloud attack surface but on-device and app security posture requires independent review.
License & commercial use
MIT License. Permissive OSI license permitting commercial use, modification, and distribution with attribution and no warranty. Full license text at repository LICENSE file.
MIT license permits commercial use of the software without additional licensing. However, no explicit guidance provided on commercial deployment liability, support, indemnification, or warranty disclaimers. For production use at scale, review the full MIT license terms and consider commercial support options through Eliza Cloud or direct engagement.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Adequate |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Strong |
| Assessment confidence | High |
Local-first architecture reduces exposure of data and agent state to cloud infrastructure. On-device models and voice processing avoid transmission of sensitive inputs. However: plugin security vetting and supply-chain risk from npm-tagged packages is not documented; crypto wallet integration and approval workflows require careful implementation; no public security audits or vulnerability disclosure record visible. Evaluate third-party plugin sources and model providers independently.
Alternatives to consider
LangChain / LangGraph (Python/JS framework)
General-purpose agent and chain orchestration; broader ecosystem of integrations and mature production deployments, but less opinionated on privacy-first and local-first architecture.
AutoGPT / AgentGPT (Agent platforms)
Cloud-centric agent frameworks with extensive plugin ecosystems; simpler for rapid prototyping but trade off local privacy and on-device compute.
Hugging Face Transformers + custom runtime (DIY)
Maximum control and privacy for on-device inference; requires substantial engineering effort for agent loop, plugin system, and multi-platform UI.
Build on eliza with DEV.co software developers
Start with elizaOS: clone the repo, run `bun install && bun run dev`, and explore the plugin framework. For production deployments, review the security policy and deployment guides, and evaluate Eliza Cloud integration.
Talk to DEV.coRelated on DEV.co
Explore the category and the services that help you build with it.
eliza FAQ
Can I run Eliza entirely on-device without Eliza Cloud?
What messaging platforms does Eliza support?
Is there a commercial license or support agreement?
What is the maturity level for production deployment?
Software developers & web developers for hire
Need help beyond evaluating eliza? DEV.co is a software development agency offering software development services and web development for teams of every size. Our software developers and web developers build custom software, web applications, APIs, and rag frameworks integrations — and maintain them long-term.
Ready to build private AI agents?
Start with elizaOS: clone the repo, run `bun install && bun run dev`, and explore the plugin framework. For production deployments, review the security policy and deployment guides, and evaluate Eliza Cloud integration.