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Devin

AI software engineering agent for planning, coding, debugging, and executing development tasks with autonomous workflows.

by Cognition·added 2026-04-27·
CLI
HarnessCLI
Review first — review before installing

Open the source and read safety notes before installing.

Citation facts

Source-backed facts for citing this resource, derived directly from the registry — also available as plain text for AI assistants.

Canonical URL
https://heyclau.de/entry/tools/devin
Source URLs
https://docs.devin.ai, https://github.com/JSONbored/awesome-claude/blob/main/content/tools/devin.mdx, https://devin.ai
Brand
Devin
Brand domain
devin.ai
Brand asset source
brandfetch
Author
Cognition
Claim status
unclaimed
Last verified
2026-04-27

Schema details

Install type
copy
Troubleshooting
No
Tool listing metadata
Pricing
paid
Disclosure
editorial
Application category
DeveloperApplication
Operating system
Web
Full copyable content
## Editorial notes

Devin represents the more autonomous end of coding-agent workflows and is worth tracking separately from editor assistants.

## Disclosure

Editorial listing. No paid placement or affiliate link is used.

About this resource

Editorial notes

Devin represents the more autonomous end of coding-agent workflows and is worth tracking separately from editor assistants.

Disclosure

Editorial listing. No paid placement or affiliate link is used.

#coding-agent#autonomous-agent

Source citations

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How it compares

Devin side by side with 3 alternatives on trust, install, platform support, and disclosed safety notes — all from reviewed registry metadata.

Field
Devin logoDevin

AI software engineering agent for planning, coding, debugging, and executing development tasks with autonomous workflows.

Open dossier
Open SWE

Open-source framework for building internal coding agents that accept tasks via Slack, Linear, or GitHub, execute code changes in isolated cloud sandboxes, and open draft pull requests automatically.

Open dossier
OpenHands logoOpenHands

AI-driven software development platform with a local GUI, CLI, Software Agent SDK, agent sandboxes, terminal/browser tools, and hosted cloud options.

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Cline logoCline

Open-source autonomous coding agent extension for planning, editing, running commands, and using tools from VS Code.

Open dossier
Trust
Install riskReview firstReview firstReview firstReview first
Notes Safety · Privacy · Safety ✓ Privacy ✓ Safety ✓ Privacy ✓ Safety · Privacy ·
BrandDevin logoDevin—OpenHands logoOpenHandsCline logoCline
Categorytoolstoolstoolstools
Sourcesource-backedsource-backedsource-backedsource-backed
AuthorCognitionLangChainOpenHandsCline
Added2026-04-272026-06-052026-06-032026-04-27
Platforms
CLI
CLI
CLI
CLI
Source repo————
Safety notes— missing✓Each task runs in an isolated cloud Linux sandbox (Modal, Daytona, Runloop, or LangSmith) to prevent production impact. The agent executes shell commands, file operations, web fetches, and HTTP requests inside the sandbox without confirmation prompts — review sandbox provider permissions before deployment. GitHub operations are performed through a GH_TOKEN proxy; scope token permissions to the minimum required repositories. Subagent orchestration can spawn parallel child agents — set appropriate step limits and monitor LangSmith traces to prevent runaway execution. AGENTS.md or CLAUDE.md at the repository root is injected into the system prompt; review this file to control agent behavior and conventions.✓OpenHands agents can edit files, run terminal commands, browse websites, start servers, and interact with repositories, so each workspace needs a clear permission boundary. The documentation recommends Docker sandboxing for local use; process-based execution is faster but has no container isolation and should be treated as unsafe for sensitive projects. Mounts into the sandbox can be modified by the agent when granted write access, so avoid broad host mounts and review exactly which project files are exposed. Confirmation mode and security analyzers can reduce risk by pausing high-risk actions, but they do not prove that an action is correct, reversible, policy-compliant, or safe to merge. Hosted, cloud, enterprise, and integration workflows add additional access-control, audit, retention, budget, and organization-policy requirements beyond the local open-source project. Benchmark performance, agent planning, context compression, and security analysis are useful signals, but human review is still required before generated changes affect protected branches or production systems.— missing
Privacy notes— missing✓Repository code, Linear issue history, and Slack thread history are sent to the configured model provider API. Sandbox providers (Modal, Daytona, Runloop, LangSmith) process task execution data according to their own privacy policies. LangSmith tracing, when enabled, logs full agent traces including tool inputs and outputs — configure retention and access controls in your LangSmith organization. GitHub OAuth tokens and model API keys should be stored as secrets and never committed to the repository.✓OpenHands may process prompts, issue text, source snippets, diffs, terminal output, browser context, logs, traces, uploaded files, repository metadata, and generated patches. Model providers, local model routes, OpenHands Cloud, enterprise deployments, or connected gateways may receive task context depending on the selected configuration. Local GUI, CLI, SDK, and sandbox workflows can save conversation history, workspace state, logs, screenshots, browser artifacts, and server output on the machine or managed workspace. Cloud and enterprise integrations with GitHub, GitLab, Bitbucket, Slack, Jira, and Linear should be reviewed for repository access, user identity, issue data, retention, and audit visibility. Operators should define retention and redaction rules before sharing OpenHands conversations, trajectories, screenshots, generated patches, or benchmark artifacts outside the project team.— missing
Prerequisites— none listed
  • GitHub account with OAuth access for repository operations.
  • A model API key (Anthropic, OpenAI, or compatible provider).
  • A LangSmith API key when using LangSmith as the sandbox provider.
  • Slack workspace, Linear workspace, or GitHub repository access for the desired trigger integrations.
  • Supported local system, container setup, or managed workspace for running the OpenHands local GUI, CLI, SDK, or hosted workflow.
  • Docker Desktop, Linux container environment, WSL setup, or remote sandbox plan when using the recommended isolated local execution path.
  • Approved model provider, local model, or hosted model route configured with the organization controls, spend limits, and data handling rules required for the target repository.
  • Git provider access, repository permissions, branch strategy, review ownership, and rollback plan before connecting OpenHands to real issues, pull requests, or production codebases.
— none listed
Install————
Config————
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