AI Tool Comparison

Comparing as AI Pair Programming & Terminal Agents
Plandex vs OpenHands

Plandex

OpenHands

Verdict by Category

Detailed category analysis is not available for this comparison.

View Plandex View OpenHands

Detailed Comparison

Feature

Plandex

OpenHands

Pricing

FreePlandex is completely free and MIT licensed. The CLI installs in one line with no dependencies. The server runs locally via Docker or can be deployed on any cloud provider (Railway, Render, your own VPS). For model inference, you bring your own API keys from any supported provider (Anthropic, OpenAI, Google, OpenRouter) and pay provider rates directly with no markup from Plandex. OpenRouter is recommended as it gives access to all major providers from a single key. Plandex Cloud (the original hosted service with centralized billing, multi-device usage, and no Docker setup required) began winding down on October 3, 2025 and no longer accepts new users. The self-hosted path is now the primary deployment option. For teams, running a shared Plandex server on Railway or a similar platform provides the equivalent of the original cloud experience with full data control.

FreemiumOpenHands has three tiers. The Open Source plan is free forever (MIT license) — self-host locally with your own LLM keys, with a web-based GUI, terminal UI, CLI, Git integrations, and community support. No infra cost. The Cloud Individual plan is also free, adding hosted cloud access from desktop and mobile, API support for automation and scripting, Jira and Slack integrations, and BYOK or access to the OpenHands LLM provider at-cost with no markup. The Individual plan supports 1 user with up to 10 conversations per day. Enterprise has custom pricing and adds VPC or self-hosted deployment (code never leaves your environment), Enterprise SAML/SSO, RBAC, unlimited concurrent conversations per user, the Large Codebase SDK for large/legacy codebases, centralized team billing, Agent Control Plane, audit logs, budget controls, priority support, a named Customer Engineer, and a shared Slack channel. Contact sales at openhands.dev/contact.

Plandex Pros & Cons

Pros

Purpose-built for large multi-file tasks — the only terminal agent designed from the ground up for 50+ file refactors and multi-step implementations
Cumulative diff sandbox — all AI changes staged for review before application, making it unusually safe for serious production refactors
Branchable plans with version control — try alternative approaches, roll back to checkpoints, and merge incrementally like using git for your AI sessions
2M direct token context window plus tree-sitter maps for 20M+ token codebases — no other terminal agent handles context at this scale natively
Configurable autonomy from full-auto to step-by-step — gives developers exactly the level of oversight they want per task
MIT license, zero-dependency one-line CLI install, self-hosted team server via Docker — maximum control with zero vendor lock-in

Cons

Plandex Cloud began winding down October 3, 2025 and no longer accepts new users — self-hosting via Docker is now required
No IDE plugin (VS Code integration was in development but not shipped as of mid-2026) — terminal-only workflow
No MCP support, no connections to Slack, Jira, or other collaboration platforms — narrower integration ecosystem than Cline or Goose
Windows only supported via WSL — not natively available in PowerShell or CMD
Smaller community and maintenance team compared to Cline or Kilo Code — community-maintained without commercial backing after cloud wind-down
Self-hosting requires Docker and a server — adds operational overhead compared to fully managed alternatives

OpenHands Pros & Cons

Pros

Most-starred open-source coding agent on GitHub with 80,800+ stars and MIT license — transparent, community-audited, and free forever to self-host
Fully autonomous end-to-end task completion — not autocomplete or suggestions; agents actually plan, code, test, and push PRs
Model-agnostic with BYOK — no vendor lock-in; use Claude, GPT, Gemini, DeepSeek, Llama, or any other LLM
70+ integrations and event-triggered automations run agents in the cloud even when your machine is off
Trusted by engineers at Apple, Google, Amazon, Netflix, TikTok, NVIDIA, Mastercard, VMware, AMD, and MongoDB
Enterprise adopters report 87% of bug tickets resolved same-day and code-maintenance backlogs reduced by up to 50%

Cons

Fully autonomous agents can make unintended changes — production use requires careful scope control and human review of diffs before merging
Cloud Individual plan limits daily conversations to 10 — heavy users need Enterprise for unlimited runs
Self-hosted deployment requires Docker and local setup; not a zero-config experience for non-technical teams
Enterprise pricing is custom and sales-gated — no transparent list price for team deployments
Open-source core means community support on the free tier; production SLAs and priority support require Enterprise

Head-to-Head Battle Cards