openagent @ open-swe ~ $

cat README.md

Open SWE

LangChain's open-source asynchronous coding agent for internal software engineering workflows.

# 9.9K Stars ยท 1.1K Forks ยท MIT License // verified 2026-06-11
open-swe/main
$pip install open-swe
Installing Open SWE...
Open SWE ready
$open-swe --help
Reading open-swe configuration & environment...
# core strengths

What makes Open SWE different

โ—†

Asynchronous coding workflow

Open SWE is positioned as an asynchronous coding agent.

Background coding agents can take on larger tasks than synchronous chat-only assistants.
โ—†

Internal engineering focus

The project homepage frames it around internal coding-agent workflows.

Engineering teams need reviewable, auditable workflows rather than one-off generated snippets.
โ—†

LangChain ecosystem

Open SWE is maintained under the LangChain GitHub organization.

LangChain's agent and orchestration ecosystem gives the project a familiar foundation for many builders.
# quick start

Your first command

terminal
$pip install open-swe
# use cases

How developers use Open SWE

01

Background coding tasks

Assign scoped engineering tasks for an agent to work on asynchronously.

02

Internal agent pilot

Evaluate how an open-source coding agent fits into branch, review, and CI workflows.

03

SWE agent comparison

Compare Open SWE with terminal coding agents and hosted SWE automation products.

# comparison

How Open SWE compares

When to choose Open SWE

Compare it with nearby agents by looking at hosting model, integration surface, license, and whether the official docs show the workflow you need.

# faq

Questions

Q: Is Open SWE open source?

Yes. The GitHub repository is listed under the MIT license.

Q: Who should evaluate Open SWE?

Engineering teams exploring asynchronous coding agents for internal software workflows should evaluate it.

Decision brief

Should you use Open SWE?

JSON
Best for
  • Teams evaluating asynchronous coding agents
  • Developers comparing open-source alternatives to hosted SWE agents
  • Engineering orgs experimenting with internal coding-agent workflows
Not for
  • Users who only need autocomplete inside an IDE
  • Teams that cannot review agent-generated code changes before merge
Trust and freshness
  • Verified 2026-06-11
  • License: MIT
  • Repo: langchain-ai/open-swe
  • Open-source signal
Deployment

cloud

Permission surface

shell/files

Decision signals

No extra signals recorded

Agent packet

Structured decision data for Open SWE

This packet is the compact machine-readable view agents should use before following source links or taking action.

Capabilities

workflow orchestration, automation

Constraints

open source

Deployment

cloud

Permission surface

shell/files

Recommended workflows

Coding agent workflow

Overview

What Open SWE does

What it is

It is a software engineering agent for background coding workflows rather than only interactive chat.

Why it matters

Asynchronous coding agents can fit into issue, branch, review, and CI workflows if teams keep human review in the loop.

How to evaluate it

Start with a low-risk internal repository task, require review before merge, and compare output quality with your existing coding-agent stack.

Facts

Known metadata and operating surface

These fields are separated from editorial interpretation so agents can reason over facts and missing checks.

Resource type agent
Category Agents
Maturity active
Difficulty Unknown
License MIT
Pricing open source
Verified 2026-06-11
Source confidence high
Risk level moderate
Fit matrix

Where Open SWE fits in an agent stack

strong

Coding agent workflow

Open SWE has multiple signals for coding agent workflow, including matching tags, capabilities, category, or positioning.

  • Run a small repository change and inspect the diff, tests, and rollback path.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial

Browser automation

Open SWE has at least one signal for browser automation, but should be checked against a real task before adoption.

  • Run one non-sensitive website task and inspect clicks, waits, retries, and changed URLs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial

Evaluation and observability

Open SWE has at least one signal for evaluation and observability, but should be checked against a real task before adoption.

  • Add one repeatable test case and confirm results can run again in review or CI.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
partial

Reusable skill workflow

Open SWE has at least one signal for reusable skill workflow, but should be checked against a real task before adoption.

  • Run one skill end to end and check whether it produces evidence or structured output.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Connector or protocol layer

Open SWE is not primarily positioned for connector or protocol layer in the current metadata.

  • Connect one low-risk service, then inspect schemas, auth scope, errors, and logs.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
weak

Local or private AI stack

Open SWE is not primarily positioned for local or private ai stack in the current metadata.

  • Verify hardware requirements, data path, storage, and whether all calls stay in your environment.
  • Confirm official docs, current maintenance, license, and runtime constraints before production use.
Inputs and outputs

What an agent should inspect

Likely inputs

  • Repositories, files, issues, terminal output, and test results
  • Official setup instructions and a small real workflow

Likely outputs

  • Diffs, commits, explanations, test results, or review notes
  • Scores, traces, regression results, dashboards, or failure cases
  • A decision on whether this resource fits the target workflow
Evidence

Sources, claims, and missing checks

Claims are marked separately from source links so future crawlers and reviewers can update them without rewriting the page.

verified

Open SWE is listed as open source.

License metadata: MIT
verified

Open SWE has a recorded GitHub repository: langchain-ai/open-swe.

Resource facts and GitHub source link.
inferred

Open SWE supports these recorded deployment modes: cloud.

OpenAgent decision signal metadata.
inferred

Open SWE is tagged with workflow orchestration, automation capabilities.

OpenAgent capability taxonomy.
Missing checks
  • Dedicated docs link is missing.
  • Repository freshness has not been recorded.
Next action

How to start evaluating Open SWE

Inspect repository

Check license, recent activity, issues, examples, and security-sensitive code paths.

Open source

Open Homepage

Start from the official source before adopting third-party instructions.

Open source
Compare

Alternatives and nearby resources

Use related resources to compare category fit, license, deployment model, and first-workflow behavior.

FAQ

Common questions about Open SWE

Is Open SWE open source?

Yes. The GitHub repository is listed under the MIT license.

Who should evaluate Open SWE?

Engineering teams exploring asynchronous coding agents for internal software workflows should evaluate it.