Refact.ai
Refact.ai is an open-source, local-first AI coding assistant and autonomous software-engineering agent built by Small Magellanic Cloud Ai Ltd. ("SmallCloud"). The product combines an IDE-integrated chat experience (Ask / Explore / Debug / Review / Plan modes), accurate code completion powered by Qwen2.5-Coder with RAG over the workspace, and the Refact Agent — an autonomous mode that plans, executes, and iterates on engineering tasks end-to-end, integrating with Git hosts, databases, shells, browsers, and MCP servers. The full agent stack — a Rust HTTP/LSP engine (`refact-lsp`), a React/Vite chat GUI, and VS Code + JetBrains plugins — is open source under BSD-3-Clause at github.com/smallcloudai/refact and ranked #1 open-source agent on SWE-bench Lite (60.0%) and 93.3% on Aider's Polyglot benchmark with thinking mode. Refact supports a cloud SaaS tier (Free / Pro / Enterprise) — though Refact Cloud is being wound down in favor of BYOK + self-hosting — plus enterprise on-premise deployment with LLM fine-tuning, AWS Marketplace listings, and bring-your-own-key access to Anthropic, OpenAI, Google, xAI, DeepSeek, Groq, Ollama, LM Studio, vLLM, GitHub Copilot, and any OpenAI-compatible endpoint. Refact is positioned as a privacy-preserving, self-hostable alternative to closed cloud coding agents — workspace context, checkpoints, knowledge graphs, and trajectories are stored locally; no code is sent to the vendor's servers in self-hosted mode.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Refact.ai the way a machine reads it — 26 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Refact.ai scores 19.5/100 (emerging), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Refact.ai
Each block below is one kind of artifact we hold for Refact.ai. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Refact Agent Engine API
Local HTTP/LSP API exposed by the Rust `refact-lsp` engine that runs inside the user's IDE or as a standalone server. Implements the agent runtime: provider/model capabilities, ...
Refact MCP Integration
Refact Agent acts as an MCP (Model Context Protocol) client, attaching local or remote MCP servers (`npx`, Python `-m`, `docker run`, or remote SSE) into the agent's tool surfac...
Features 23
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Scroll within the panel for all 23 ·
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Refact.ai — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 4
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Build 9
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 9 ·
Access & Security 1
Authentication, authorization, and security posture
Learn 1
Tutorials, courses, talks, and written guidance
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 2
Properties that don't map to a standard resource type
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