Eigent is an open-source desktop app where AI agents work beside you on research, writing, coding, and file tasks across macOS, Windows, and Linux. Work is organized as Spaces, Sessions, and Tasks, and you choose the model behind the agents: Eigent Cloud, your own cloud API keys, or fully local runtimes.[1]
Quick verdict
Teams that want autonomous help with research, writing, and coding without surrendering model choice get the most from Eigent: its single-agent and multi-agent workforce modes divide complex work across specialized sub-agents that run in parallel. The decisive capability is model-agnostic deployment, from managed Eigent Cloud to bring-your-own-keys to fully local models through Ollama, vLLM, and similar runtimes. The material constraint is operational weight: local setups need provider credentials or a running model server plus substantial memory or GPU capacity, and cloud plans meter work through task credits. If you want a self-hostable agent workspace with human-in-the-loop approvals, choose Eigent; if you need a purely managed coding agent with no infrastructure thinking, a cloud-native alternative fits better.[1][2][3][4]
Key features
Single-agent cowork mode Single-agent cowork mode: one agent handles a focused task inside your workspace, asking first when a step needs your decision.[1][2]
Multi-agent workforce mode Multi-agent workforce mode: specialized sub-agents divide complex work and run it in parallel, with human-in-the-loop input when a task gets stuck.[1][2]
Model-agnostic runtimes Model-agnostic runtimes: use Eigent Cloud, bring your own cloud API keys, or run fully local models through Ollama, vLLM, SGLang, LM Studio, or LLaMA.cpp.[1][2]
200+ built-in MCP tools Over 200 built-in MCP tools plus custom tool installation, so agents reach files, apps, and services beyond the desktop.[1][2]
Built-in browser toolkit Built-in browser toolkit: agents operate the web in a human-like way for research, reading, and extraction tasks.[1][2]
Built-in terminal and code toolkit Built-in terminal and code toolkit: agents run commands, edit files, and carry out coding tasks on your machine.[1][2]
Scheduled automations Scheduled automations: recurring tasks keep running on their own schedule while you step away.[1]
Self-hosted Apache-2.0 desktop Self-hosted Apache-2.0 desktop: free local deployment with full data isolation and installers for macOS, Windows, and Linux.[1][2][3]
Who will love it
People delegating research, writing, and coding tasks to desktop agents: Spaces, Sessions, and Tasks keep delegated work organized and reviewable.[1][2]
Teams running parallel multi-agent workflows with oversight: the workforce mode plus ask-first approvals scales agency without surrendering control.[1]
Privacy-minded users self-hosting with local or BYOK models: the fully local arrangement keeps data on your own machine with no cloud account required.[1][2]
Who should avoid it
Teams wanting zero-setup simplicity: the local path needs provider credentials or a running model server, and large local models demand substantial memory or GPU capacity.[1]
Heavy users on a fixed budget: cloud plans meter work through task credits, and per-task consumption rates are not publicly itemized.[1]
Non-technical teams needing turnkey guarantees: source builds assume developer tooling, and SSO, SLAs, and 24/7 support sit on enterprise plans.[1][2]
Alternatives and compatibility
Claude Cowork and Codex are the stated incumbents: the repository positions Eigent as their local, free, open-source alternative, so choose Eigent when self-hosting and model choice matter.[1]
OpenHands is the evidenced engineering-focused candidate: its open-source GUI, CLI, and SDK target software-engineering agents with enterprise deployment, so prefer it when the work is primarily code with auditability needs.[1]
Eigent Cloud Plus or Pro is the honest in-family alternative to self-hosting: pay per task credits for instant access instead of owning models and hardware.[1][2]
Questions worth asking
What is the best Eigent alternative for non-technical users?
Is Eigent really no-code?
How much does Eigent cost per month?
Can you self-host Eigent?
Yes. Three arrangements are documented: managed app on Eigent Cloud, self-hosted with your own keys, and fully local with Ollama, vLLM, SGLang, LM Studio, or LLaMA.cpp. Self-hosting needs a repo clone with Node.js 18-22 plus the Python backend and configured providers, and large local models demand substantial memory or GPU capacity.[1][2]
Sources and editorial review
Source research. Reviewed on October 9, 2026. Written by Sanjib Sah. AI assisted; reviewed by a human editor.
We have not run or tested this product.
- Eigent homepage (official)
official · Observed October 9, 2026
Official homepage: open-source cowork desktop positioning, model choice, 15.0K stars, Mac/Windows/Linux downloads, use cases and pricing summary. Re-verified Oct 9, 2026.
- Eigent pricing and plan comparison (official)
official · Observed October 3, 2026
Official pricing and plan comparison with credits, trials, and Teams status.
- Eigent enterprise automation page (official)
official · Observed October 3, 2026
Official enterprise positioning: secure self-hosted deployment, support, and engagement model.
- Eigent docs welcome and core concepts (official)
official · Observed October 3, 2026
Official docs welcome: product definition, work organization, workforce model, tool count.
- Eigent installation docs (official)
official · Observed October 3, 2026
Official installation docs: desktop platforms and installers.
- Eigent self-hosting docs (official)
official · Observed October 3, 2026
Official self-hosting docs: the three hosting arrangements, build prerequisites, provider configuration.
- eigent-ai/eigent GitHub repository
official · Observed October 9, 2026
GitHub repository: licence, stars, positioning against Claude Cowork and Codex, recommended local deployment. Re-verified Oct 9, 2026.
- OpenHands official site
official · Observed October 3, 2026
Incumbent-adjacent comparison candidate: open-source software-engineering agent platform.
Compared with these products
No explicit proprietary baseline is recorded.