https://ramdi.fr/tags/openclaw/Recent content in Openclaw on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/clawmetry-zero-config-real-time-observability-dashboard-for-openclaw-ai-agents/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/clawmetry-zero-config-real-time-observability-dashboard-for-openclaw-ai-agents/ClawMetry offers a zero-configuration real-time dashboard for OpenClaw AI agents, visualizing message flows, token usage, and operational alerts with easy setup.https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/openclaw-agents-orchestrating-adversarial-ai-agents-with-shell-driven-provisioning/OpenClaw Agents deploys paired AI agents using shell scripts for adversarial collaboration in OpenClaw gateway, supporting multi-channel or local workflows with safe config merges.https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/Mon, 04 May 2026 10:23:03 +0000https://ramdi.fr/github-stars/evoclaw-structured-memory-and-identity-evolution-framework-for-openclaw-ai-agents/EvoClaw enforces AI agent memory and identity evolution with an 8-validator pipeline ensuring integrity and governance, featuring a tiered memory system and radial mindmap UI.https://ramdi.fr/github-stars/gigabrain-a-modular-ai-agent-tooling-plugin-for-openclaw-and-claude-code/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/gigabrain-a-modular-ai-agent-tooling-plugin-for-openclaw-and-claude-code/gigabrain is a Node.js plugin that extends OpenClaw and AI toolchains like Codex and Claude Code, providing setup and verification utilities for AI agent workflows.https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/graph-memory-a-knowledge-graph-context-engine-plugin-for-ai-agents-using-dual-path-recall/graph-memory compresses AI agent context by 75% using a knowledge graph and dual-path recall with Personalized PageRank. It combines precise entity search and semantic matching for improved memory across sessions.https://ramdi.fr/github-stars/meta-ads-kit-automated-ai-driven-management-of-meta-ads-campaigns/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/meta-ads-kit-automated-ai-driven-management-of-meta-ads-campaigns/meta-ads-kit automates Meta Ads workflows with an AI agent CLI tool, replacing manual dashboard work with AI-driven monitoring, fatigue detection, copy generation, and direct Graph API uploads.https://ramdi.fr/github-stars/openclaw-auto-dream-sleep-inspired-memory-consolidation-for-persistent-ai-agents/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/openclaw-auto-dream-sleep-inspired-memory-consolidation-for-persistent-ai-agents/OpenClaw Auto-Dream implements a 5-layer memory model with importance scoring and forgetting curves to consolidate AI agent memories like human sleep. It enables persistent, evolving knowledge.https://ramdi.fr/github-stars/openclaw-mission-control-centralized-monitoring-for-openclaw-ai-agents-with-a-typescript-dashboard/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/openclaw-mission-control-centralized-monitoring-for-openclaw-ai-agents-with-a-typescript-dashboard/openclaw-mission-control is a TypeScript project offering a centralized dashboard to monitor and control OpenClaw AI agents. It hooks into OpenClaw to provide real-time visibility and management.https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/opik-openclaw-bridging-openclaw-ai-agents-with-opik-observability/opik-openclaw plugs into OpenClaw to export detailed AI agent traces and usage data to Opik’s LLM observability platform, enabling deep insights into LLM calls and costs.https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/pycoclaw-running-full-openclaw-ai-agents-on-5-esp32-microcontrollers-with-micropython/PycoClaw ports OpenClaw AI agents to MicroPython, enabling full conversational agents on $5 ESP32 chips with 8MB+ flash and 4MB+ PSRAM. It supports hybrid memory, subagents, cron, and multi-LLM compatibility.https://ramdi.fr/github-stars/souls-directory-a-curated-next-js-directory-for-soul-md-ai-agent-personalities/Mon, 04 May 2026 10:23:02 +0000https://ramdi.fr/github-stars/souls-directory-a-curated-next-js-directory-for-soul-md-ai-agent-personalities/souls-directory is a Next.js app hosting curated SOUL.md personality templates for OpenClaw AI agents, using Convex backend and GitHub OAuth. Explore its architecture and usage.https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/how-openclaw-medical-skills-modularizes-claude-agents-for-medical-ai-research/OpenClaw Medical Skills offers 869 modular AI agent skills to transform Claude agents into specialized medical research assistants. Explore its architecture, strengths, and installation.https://ramdi.fr/github-stars/openclaw-dashboard-a-lightweight-go-server-for-ai-data-visualization-and-interaction/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/openclaw-dashboard-a-lightweight-go-server-for-ai-data-visualization-and-interaction/OpenClaw Dashboard is a Go-based self-hosted web UI for visualizing and interacting with OpenClaw AI data. It offers easy setup, live data refresh, and a chat panel integrated with OpenClaw gateway.https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/Mon, 04 May 2026 10:23:01 +0000https://ramdi.fr/github-stars/running-openclaw-ai-agents-natively-on-android-with-termux-a-practical-deep-dive/OpenClaw runs natively on Android via Termux using a Node.js patch that fixes Bionic libc issues, cutting boot time to ~2s and slashing RAM overhead. Here’s how it works.