Maor Bril
Maor Bril is an individual software engineer and solo open-source developer, not an incorporated company. His public work focuses on production AI systems, AI-generated media evaluation, autonomous coding tools, and practical control of model routing and inference cost.
At a Glance
AI Tools by Maor Bril
(1)
gremlord
Claude Code Multi Provider Router
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Latest News
Maor Bril promoted the gremlord $25 challenge, asking what an agent can build under a fixed budget.
agentic renamed to gremlord, with migration tooling for existing configurations, credentials, and spend history.
Gremlord added opt-in OpenAI Responses API translation for models needing Responses semantics with reasoning and tool use.
Gremlord added independent, harness-aware model-evaluation improvements and hardened the OpenAI-compatible tool-schema path.
Products & Services
MIT-licensed local router and CLI that runs unmodified Claude Code against Anthropic, OpenAI, xAI, and OpenAI-compatible endpoints such as Ollama, vLLM, OpenRouter, DeepSeek, and Groq. It meters tokens, applies budgets, supports model aliases and automatic tier routing, scales context handling, and can delegate whole tasks to local Codex or Grok CLIs.
Open-source coordination layer for coding agents. It provides shared discovery, inter-agent messaging, persistent memory, session naming, MCP tooling, and setup integrations for Claude Code, Cursor, Windsurf, and OpenCode.
Multimodal evaluation and feedback systems described by Bril for AI-generated video and agentic products. JudgeJudy combines automated metrics, AI judges, pairwise preference comparisons, and human annotations; Judge Dredd connects evaluation with product telemetry and release gates.
Character.AI Interactive Original described as an agent-run detective game in which agents generate mysteries, play suspects, maintain world-state consistency, and support timed interrogation and accusation.
Market Position
Bril positions gremlord as a thin gateway around the real, unmodified Claude Code rather than a competing agent harness. Its differentiation is first-class token pricing and hard budgets, classifier-based model routing with context-fit checks, and a no-daemon single-developer installation. The repository compares it with Claude-code-router/proxy forks and LiteLLM on one side, and alternative harnesses such as OpenCode, Crush, Goose, and Aider on the other; LiteLLM is described as more mature for teams that want a deployed gateway.
Leadership
Founders
Maor Bril
Software engineer with roughly 20 years of production experience. Public biographies and his site describe infrastructure and engineering work at Coinbase, Netflix, Google/Google Cloud, and VMware, followed by agentic-AI and creative-AI work at Character.AI. His site also describes an earlier foundation in the IDF Intelligence Corps.
Executive Team
Maor Bril
Principal Engineer, Agentic AI
Public materials describe current agentic-AI strategy and production work at Character.AI, including multimodal pipelines, evaluation infrastructure, and AI entertainment products; prior infrastructure roles include Coinbase, Netflix, Google Cloud, and VMware.
Founding Story
No separate company formation is documented. Bril's public projects grew from his practical work building and operating agentic systems: Clauder coordinates coding agents, while agentic (now gremlord) was created to let unmodified Claude Code use multiple model providers with metering, routing, and hard budget controls.
Target Markets
- Individual developers using Claude Code who want provider choice and cost visibility
- Running coding agents on cheaper, local, or OpenAI-compatible models without replacing Claude Code's harness
- Budget-constrained agentic development and model comparisons
- Multi-agent coding workflows requiring discovery, messaging, shared memory, and independent review
- Evaluation and quality gating for AI-generated video, audio, and interactive media
- Agent-generated games, serialized stories, microdrama, and other creative entertainment