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ChainForge

ianarawjo/ChainForge

An open-source visual programming environment for battle-testing prompts to LLMs.

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

55views this month

3.0k stars257 forksLast push Sep 19, 2026 TypeScript MIT

Decision brief

Web-based visual programming tool for prompt testing on LLMs; supports local installation and Docker for advanced feature access.

Good fit when

Need extensive features beyond web limitations
Require automatic loading of API keys from environment variables

Avoid when

Looking for a solution without local setup or Docker support
Prefer not managing API keys via environment variable configuration

Observed Jul 12, 2026 · Source: enrich:decision_facts

ChainForge alternatives Trust report

ChainForge vs Flowise ChainForge vs langflow

Verify the decision

Adoption

Package downloads where a registry match exists. GitHub stars (3,030) are secondary evidence.

Docker Hub pulls (30d): 4,791·Docker Hub API·Sep 20, 2026

Maintenance and security

Full trust report

Maintenance: Very active (0d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

npm install ChainForge

How it fits your stack(6)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Alternative

LangFlow is used for building and deploying AI-powered agents and workflows, which can be compared to ChainForge's purpose of evaluating prompts to LLMs visually.

Flowise is built around visually creating and managing AI agents, making it similar to ChainForge in its visual programming environment aimed at prompt testing and comparison.

Integrates

CopilotKit provides a frontend stack for agents and generative UI, which could be an integration partner for ChainForge's visual prompt engineering environment.

Related

Prompt-Engineering-Guide

ChainForge provides a practical method for testing prompts and comparing responses, which is related to the resources provided by Prompt Engineering Guide but does not directly integrate or succeed from one another.

企业级AI低代码平台，一键生成前后端代码甚至整个系统

Both ChainForge and langfuse focus on evaluating LLMs but through different methodologies; ChainForge uses a visual programming environment for prompt battle-testing, whereas langfuse provides an engineering platform for managing prompts and tracking observability metrics.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

The agent engineering platform.

Framework for evaluating LLMs and LLM systems with an open-source registry of benchmarks.

RagaAI-Catalyst

Python SDK for AI agent observability and evaluation

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

ChainForge provides a web-based interface to create, test and evaluate large language model interactions through a visual programming approach. It supports local installation and running via Docker with extensive feature sets beyond the limited web version.

Capability facts

Deploy: Self-host
Source: dockerfile:docker-compose.yml · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:docker-compose.yml · Sep 20, 2026
Languages: typescript
Source: github.language · Sep 20, 2026

Categories

Evaluation & Observability LLM Frameworks

Graph entities

AutoGenframework Semantic Kernelframework Ollamaframework Smolagentsframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

d version you can load API keys automatically from environment variables, write Python code to evaluate LLM responses, or query locally-run models hosted via Ollama.

Tags

ai evaluation large-language-models llmops prompt-engineering

README

Installation You can install ChainForge locally, or try it out on the web at https://chainforge.ai/play/ . The web version of ChainForge has a limited feature set. In a locally installed version you can load API keys automatically from environment variables, write Python code to...

For agents

This page has a .md twin and JSON over the API.

/tools/ianarawjo-chainforge.md GET /api/graphcanon/tools/ianarawjo-chainforge GET /api/graphcanon/graph?tool=ianarawjo-chainforge

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