Community-voted Model Leaderboard for OpenClaw Released
A new leaderboard has been introduced for OpenClaw, aimed at providing an easy way to identify popular models through community votes. This tool helps users see which models are being highly regarded by fellow developers. Currently, Opus 4.5 is leading the pack as the most favored model among peers.
This type of community-driven insight can be useful for developers seeking to optimize their use of OpenClaw by identifying models that are widely adopted and tested by others in the community.
📖 Read the full source: r/clawdbot
👀 See Also
TOON MCP server reduces tool result tokens by 30-60% in OpenClaw
An MCP server that compresses structured JSON tool results into the TOON format can cut token usage by 30-60% for tabular data like database queries and API responses, helping delay context window compaction in OpenClaw sessions.
Browser39: A Headless Web Browser for AI Agents
Browser39 is a headless web browser designed specifically for AI agents that converts web pages to token-optimized Markdown locally, runs JavaScript, manages cookies and sessions, queries the DOM, and fills forms. It's a single binary with no external browser needed, no fees, and no external service.
SecureContext: An MCP Plugin for Persistent Memory and Token Reduction in Claude Code
SecureContext is an open-source MCP plugin that provides MemGPT-style persistence across Claude Code sessions, reduces input tokens by ~87% through targeted context recall, and isolates credentials via a security sandbox.
ClawCodex /advisor Mode: Pair Cheap Worker with Expensive Reviewer to Cut Costs Without Losing Quality
Open-source Python coding agent ClawCodex adds an /advisor mode that pairs a cheap worker model (e.g., Haiku) with an expensive reviewer (e.g., Opus) at decision points, cutting costs several-fold without sacrificing architectural judgment.