The AI Agent Index

Documenting the technical and safety features of deployed agentic AI systems

Replit Agent


Basic information

Website: https://docs.replit.com/replitai/agent

Short description: The Replit Agent builds software projects using natural language prompts provided by users.

Intended uses: What does the developer say it’s for? Use cases include “1) Scaffold a new project from scratch; 2) Build and deploy a full-stack application; 3) Automate routine coding tasks; 4) Debug code with AI assistance; 5) Optimize and refactor code; 6) Add features to an existing app; 7) Learn while you build; 8) Generate documentation; 9) Create a database and connect it to your app; 10) Deploy applications to the cloud” [source]

Date(s) deployed: September 2024 [source]


Developer

Website: https://docs.replit.com/category/replit-ai

Legal name: Replit, Inc [source]

Entity type: Corporation [source]

Country (location of developer or first author’s first affiliation): Incorporation: Delaware, USA (Replit, Inc (6008239)) [source]

Safety policies: What safety and/or responsibility policies are in place? Unknown


System components

Backend model: What model(s) are used to power the system? Unknown

Publicly available model specification: Is there formal documentation on the system’s intended uses and how it is designed to behave in them? None

Reasoning, planning, and memory implementation: How does the system ‘think’? Unknown

Observation space: What is the system able to observe while ‘thinking’? Common observation space is user input and outcome of agent actions.

Action space/tools: What direct actions can the system take? Unknown

User interface: How do users interact with the system? “Replit Agent is a coding assistant built right into the Replit IDE” [source]

Development cost and compute: What is known about the development costs? Unknown


Guardrails and oversight

Accessibility of components:

  • Weights: Are model parameters available? Unknown
  • Data: Is data available? Unknown
  • Code: Is code available? Replit has source code for most of the products it offers [source], along with a repository for available LLMs [source]. However there is no source code about the Replit Agent and whether their own models were used to create it.
  • Scaffolding: Is system scaffolding available? Closed source
  • Documentation: Is documentation available? Available [source]

Controls and guardrails: What notable methods are used to protect against harmful actions? They have staff who can report content that violates Replit’s Terms, Community Standards, or Privacy Policy [source].

Customer and usage restrictions: Are there know-your-customer measures or other restrictions on customers? None

Monitoring and shutdown procedures: Are there any notable methods or protocols that allow for the system to be shut down if it is observed to behave harmfully? Serious violations may lead to users getting banned from Replit [source].


Evaluation

Notable benchmark evaluations: Unknown

Bespoke testing: Unknown

Safety: Have safety evaluations been conducted by the developers? What were the results? None

Publicly reported external red-teaming or comparable auditing:

  • Personnel: Who were the red-teamers/auditors? None
  • Scope, scale, access, and methods: What access did red-teamers/auditors have and what actions did they take? None
  • Findings: What did the red-teamers/auditors conclude? None

Ecosystem information

Interoperability with other systems: What tools or integrations are available? None highlighted in particular for the Replit Agent. However, Replit has many integrations available [source].

Usage statistics and patterns: Are there any notable observations about usage? “The Replit Agent is currently an experimental product” and “currently available through an early access program” [source]


Additional notes

None