Agent Friendly Code

langflow-ai/langflow

GitHub
https://github.com/langflow-ai/langflow

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Stars:
156.3k
Language:
Python
Default branch:
main
Last scored:
Overall

At a glance

Rank
#70 of 401
Top 17% · #19 of 56 Python repos
Checks passed
11 of 17
Full list below
Best set up for
Devin
Score 85.1
Needs most work for
Aider
Biggest fix: .aider.conf.yml (+14.1 pts)

What it has

What it's missing

What to fix first

Pick an AI agent

Showing fixes for Claude Code

  1. 1
    Type configuration
    Add a type config (tsconfig.json for JS/TS, mypy.ini or pyrightconfig.json for Python). Rust/Go/JVM/Scala/Swift/C#/OCaml/Haskell/Zig are typed by default.
    +7.9 pts
  2. 2
    Manageable size
    If possible, split into smaller modules or carve out a focused entry path. Document where to start in AGENTS.md.
    +5.3 pts
  3. 3
    Test suite
    Add a tests/ (or test/, __tests__/, spec/) directory with runnable tests. Document how to run them in AGENTS.md.
    +3.9 pts

Score for each AI agent

Each agent weighs the checks by its own docs. Under each score are its top three. How each agent is scored →

Devin
#32 of 401
85.1
  • ✓Reproducible dev env
  • ✓Dependency manifest
  • ~Test suite
Kimi Code CLI
#67 of 401
84.1
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✓Dependency manifest
Pi
#72 of 401
83.1
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✓Linter / formatter config
Codex
#78 of 401
83.0
  • ✓AGENTS.md / CLAUDE.md
  • ✓README
  • ~Test suite
Claude Code
#96 of 401
82.9
  • ✓AGENTS.md / CLAUDE.md
  • ~Test suite
  • ✓Reproducible dev env
Cursor
#16 of 401
82.4
  • ✓Cursor rules (.cursor/rules)
  • ✓README
  • ✗Type configuration
OpenHands
#58 of 401
76.7
  • ✓CI configuration
  • ✓Dependency manifest
  • ✓Reproducible dev env
Gemini CLI
#104 of 401
72.1
  • ✗GEMINI.md
  • ✓README
  • ~Test suite
Aider
#140 of 401
70.1
  • ✗.aider.conf.yml
  • ✓Linter / formatter config
  • ~Test suite

Does langflow-ai/langflow have agent instructions?

An AGENTS.md (or CLAUDE.md) at the root tells AI coding agents how to build, test and work in the repo. A few agents also read a file of their own.

AGENTS.md / CLAUDE.md
AGENTS.md (new tab) · 11,708 characters
Agent-specific files
.cursor/rules (new tab) (1 .mdc file), .agents/skills (new tab) (11 skills)No GEMINI.md, .openhands/setup.sh or .aider.conf.yml
Repos that have one
29 of 56 Python repos · 221 of 401 repos on the leaderboard · See examples →

All 17 checks · 11 passed

Skills (.agents/skills)· 100% pass
11 skills in .agents/skills/
.agents/skills/backend-code-review/SKILL.md
AGENTS.md / CLAUDE.md· 100% pass
Substantive (11,708 characters)
AGENTS.md
.aider.conf.yml· 0% pass
No .aider.conf.yml at repo root
CI configuration· 100% pass
52 GitHub Actions workflows
.github/workflows
CONTRIBUTING guide· 100% pass
Guide present
CONTRIBUTING.md
Cursor rules (.cursor/rules)· 100% pass
1 .mdc file in .cursor/rules/
.cursor/rules/docs_development.mdc
Dependency manifest· 100% pass
Manifest present
package.json
Reproducible dev env· 100% pass
2 env artifacts (Makefile, .devcontainer/devcontainer.json)
Makefile
GEMINI.md· 0% pass
No GEMINI.md at repo root
License file· 100% pass
License present
LICENSE
Linter / formatter config· 100% pass
Config detected
.eslintrc.json
.openhands/setup.sh· 0% pass
No .openhands/setup.sh
Pre-commit / git hooks· 100% pass
Hook framework configured
.pre-commit-config.yaml
README· 100% pass
README detailed (5,576 characters)
README.md
Manageable size· 20% pass
10000+ files — very large
Test suite· 70% pass
Test files detected (scripts/ci/test_authz_endpoint_matrix.py)
scripts/ci/test_authz_endpoint_matrix.py
Type configuration· 0% pass
No type config found

How langflow-ai/langflow compares

vs leaderboard average
13.1 pts above
Average 66.8
vs Python average
8.9 pts above
Average 71.0
Stars among Python repos
#4 of 56

Missing here, and how many repos have it

  • Type configuration · passed by 68% of leaderboard repos, 57% of Python repos

Passes checks most repos miss

  • Skills (.agents/skills) · only 17% of repos pass it
  • Cursor rules (.cursor/rules) · only 4% of repos pass it
  • Reproducible dev env · only 22% of repos pass it
  • Pre-commit / git hooks · only 29% of repos pass it

One fix for the most agents: Type configuration would raise the score for all 9 agents, by up to 11.5 points.

Similar repos

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All Python repos →

Same topics, any language

Repos tagged with the same GitHub topics, most shared first.

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Check the score on every pull request

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