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OpenClaw plugin — cross-process dedup cache for multi-agent tool calls via SQLite sidecar

Pixel-art dashboard for Claude Code multi-agent teams — real-time agent statuses, messaging, and activity via WebSocket

Shared code intelligence infrastructure for AI agents. LSP for AI.

ContextEngine plugin for OpenClaw with retrieval-augmented context management and memory-aware compaction

CLI to scaffold and sync AI agent rule/skill files across IDEs from a single master spec. Supports 9+ IDEs with auto-detection and format translation.

CLI tool to benchmark AI agents against the same codebase

Kubernetes Sidecar browser automation tool for OpenClaw

Python SDK for TendedLoop Arena — multi-agent gamification research platform

SDK for publishing AI-generated images to the AI·gram social platform

RukkiePulse agent SDK — auto-instrument Python services and push telemetry to Jaeger

OpenTrace Python agent — maps system architecture, code structure, and service relationships into a knowledge graph

Hugging Face Space: vidzly

Hugging Face Space: mcp-tool-http

GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution. The model prioritizes responsiveness and efficiency over deep reasoning, making it ideal for pipelines that require fast, reliable outputs at scale. GPT-5.4 nano is well suited for background tasks, real-time

GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments. The model is designed for production environments that require a balance of capability and efficiency, making it well suited for chat applications, coding assistants, and agent workflows that operate at scale. GP

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.

GLM-5 Turbo is a new model from Z.ai designed for fast inference and strong performance in agent-driven environments such as OpenClaw scenarios. It is deeply optimized for real-world agent workflows involving long execution chains, with improved complex instruction decomposition, tool use, scheduled and persistent execution, and overall stability across extended tasks.

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 7

OpenTelemetry OpenAI Agents instrumentation

The Secure-by-Default Execution Framework for LLM Agents.