Soon there will be auto-plugin support for OpenClaw with ByteRover. Zero manual setup for persistent memory. Support this feature → like the PR:
@sumanth_077
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OpenClaw Setup Guide: Stateful Local Memory Configuration
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Detailed set-up guide: https://
byterover.dev/blog/curated-s
tateful-local-memory-for-openclaw?utm_source=sumanth&utm_campaign=openclaw_skill&utm_content=X_0326
… Byterover Skill: -
OpenClaw Long-Term Memory Enhancement for Agent Workflows
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Give OpenClaw long-term memory that actually works! OpenClaw agents are powerful for dev work – scheduled workflows, automated testing, continuous monitoring of codebases. But there's a memory problem. Across sessions, OpenClaw's auto-memory gets stored by day in
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Data Privacy and On-Device Model Learning Infrastructure
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Conversation data stays on your infrastructure. The model learns from your actual usage patterns
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OpenClaw-RL: Train AI Agents Through Natural Conversations
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Train your OpenClaw agent by just talking to it! OpenClaw-RL is a reinforcement learning framework that turns everyday conversations into training signals for personalized AI agents. Most RL systems for LLMs assume batch-mode training with pre-collected datasets. You label data
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llmfit: Auto-detect hardware and rank 206 models by VRAM compatibility
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Stop guessing which models fit in your VRAM! llmfit is a CLI tool that auto-detects your hardware and ranks 206 models by what actually runs on your system. You download a 70B model and hope it fits. Or you estimate memory requirements across quantization levels and still end
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Model optimization: context reduction saves download resources
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Yeah and it tries half context if nothing fits at full. Saves you from downloading models that won't work
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OpenFang: Full Operating System for Autonomous AI Agents
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Someone built a full operating system for autonomous AI agents! OpenFang is an agent OS that runs agents for you on schedules instead of waiting for you to prompt them. Written entirely in Rust, compiles to a single 32MB binary. Here's the key difference: Traditional agent
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BFCL Score Improvements Enable Cleaner Multi-Step AI Workflows
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Yeah the BFCL score difference is wild. In practice it means fewer broken tool calls and cleaner multi-step workflows
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MiniMax M2.5 Open Source: Claude Opus Performance at 95% Lower Cost
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MiniMax M2.5 went fully open source. If you're running OpenClaw, this changes the game. It's basically Claude Opus performance but 95% cheaper. It scores 80.2% on SWE-Bench Verified. OpenClaw's been great for persistent AI agents with memory, tools, and messaging integrations.