https://ramdi.fr/tags/conversational-ai/Recent content in Conversational-Ai on Noureddine RAMDIHugoenSat, 23 May 2026 20:41:27 +0000https://ramdi.fr/github-stars/intellagent-systematic-adversarial-testing-for-conversational-ai-with-policy-graph-decomposition/Sat, 23 May 2026 20:41:14 +0000https://ramdi.fr/github-stars/intellagent-systematic-adversarial-testing-for-conversational-ai-with-policy-graph-decomposition/IntellAgent is a Python framework that stress-tests conversational AI agents by generating structured adversarial dialogues via policy graph decomposition, helping uncover blind spots before production.https://ramdi.fr/github-stars/chattts-conversational-text-to-speech-with-prosodic-control-and-responsible-ai-tradeoffs/Tue, 05 May 2026 13:37:39 +0000https://ramdi.fr/github-stars/chattts-conversational-text-to-speech-with-prosodic-control-and-responsible-ai-tradeoffs/ChatTTS is an open-source conversational text-to-speech model trained on 100,000+ hours of bilingual audio. It offers fine-grained prosodic control and employs intentional quality degradation to prevent misuse.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/be-more-agent-offline-first-conversational-ai-on-raspberry-pi-with-hardware-aware-audio-handling/Mon, 04 May 2026 10:04:45 +0000https://ramdi.fr/github-stars/be-more-agent-offline-first-conversational-ai-on-raspberry-pi-with-hardware-aware-audio-handling/Be More Agent is an offline-first conversational AI framework for Raspberry Pi, combining local LLM inference with hardware-aware audio resampling to handle ALSA quirks. Runs 100% locally.