AI Developer Tools

GreyFox Community Edition

Self-hosted AI traffic proxy and local operator console for teams to control LLM token usage, enforce user limits, cache responses, and monitor AI traffic.

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GreyFox Community Edition

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What is GreyFox Community Edition?

GreyFox Community Edition is a self-hosted AI traffic proxy and local operator console that provides an OpenAI-compatible endpoint, per-user token quota enforcement, exact response caching, and a local admin UI for managing AI traffic within your own infrastructure.

GreyFox Community Edition vs Similar AI Tools

Pricing ModelFreeFreeFreeFree
Free Credits
Key Features
  • OpenAI-compatible proxy endpoint
  • Local Admin UI served from the same container
  • Per-user token quota enforcement with X-App-User-Id
  • Seven breakable boxes covering OWASP Agentic Top-10 vulnerabilities
  • Three guided simulations for cascading failures, human-agent trust, and rogue agents
  • Network-isolated Docker containers for safe execution
  • Code-to-runtime reasoning across cloud, Git, and Kubernetes
  • Action-gate enforces read-only policy on every API call
  • Sandboxed JavaScript execution for concurrent research
  • Append-only, SHA-256-addressed event history through Jaybase
  • AES-256-GCM encryption for stored node payloads
  • Unified RBAC for ledger, notes, snapshots, and audit reads
Pros
  • Self-hosted with full data privacy
  • Easy Docker setup with compose.yaml
  • Covers full OWASP Agentic Top-10 in a realistic manner
  • Docker isolation prevents accidental damage
  • Read-only by construction prevents accidental writes
  • Evidence-backed verification cross-checks every finding
  • Opinionated and secure accounting CLI with immutable audit trail
  • Designed for AI agent integration with JSON output
Cons
  • Limited to 5 active managed users
  • No automatic updates
  • Requires Docker and technical setup
  • Not for production use; only for lab environments
  • Requires an LLM API key, incurring token costs
  • Limited to read-only operations, cannot remediate
  • Pre-1.0, limited feature set
  • No native QuickBooks import (agents must normalize data)
Best For
  • Teams wanting to control LLM token usage
  • Developers integrating AI APIs with quota management
  • Security researchers focusing on AI agent vulnerabilities
  • Developers building MCP-based applications
  • Security engineers
  • DevOps teams
  • Small teams needing secure, auditable accounting with AI agent support
  • Developers integrating automated bookkeeping workflows

How to use GreyFox Community Edition?

  1. 1Create a compose.yaml file with the GreyFox Docker image.
  2. 2Start GreyFox with 'docker compose up -d'.
  3. 3Open the Admin UI at http://localhost:8080.
  4. 4Configure provider settings (Mock mode or OpenAI-compatible provider).
  5. 5Change your application's AI provider base URL to the GreyFox endpoint.
  6. 6Add X-App-User-Id header to identify users.

GreyFox Community Edition Key Features

  • OpenAI-compatible proxy endpoint
  • Local Admin UI served from the same container
  • Per-user token quota enforcement with X-App-User-Id
  • Exact response cache for repeated non-streaming requests
  • Local SQLite storage for settings, users, logs, cache, and metrics
  • Traffic history, token analytics, and manual cost calculator
  • Mock mode for zero-cost onboarding and demos
  • Provider mode for OpenAI-compatible upstream APIs
  • Prompt injection guard

GreyFox Community Edition Use Cases

  • Team management of LLM token usage
  • Self-hosted AI traffic monitoring and analytics
  • Enforcing per-user API limits across an organization
  • Caching repeated AI requests to reduce costs
  • Development and testing with mock mode

GreyFox Community Edition Pricing & Free Credits

GreyFox Community Edition currently operates on a Free model.

This tool is completely free to use

Community Edition

Free

Self-hosted AI traffic proxy with up to 5 active managed users, local SQLite storage, and no hosted control plane.

GreyFox Community Edition Pros & Cons

Pros

  • Self-hosted with full data privacy
  • Easy Docker setup with compose.yaml
  • OpenAI-compatible API endpoint
  • Per-user token quota enforcement
  • Exact response cache for repeated requests

Cons

  • Limited to 5 active managed users
  • No automatic updates
  • Cost estimates are manual and informational only
  • No hosted cloud control plane

What is GreyFox Community Edition best for?

  • Teams wanting to control LLM token usage
  • Developers integrating AI APIs with quota management
  • Organizations requiring data privacy and local infrastructure
  • Small teams and demos

GreyFox Community Edition FAQ

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