Skill-memory capability layer for agent systems, enabling persistent cross-task skill reuse and evolution for OpenClaw-style long-running workflows.
Context database for agents that unifies memory, resources, and skills through a filesystem model, making it suitable as a foundation for large-scale skill orchestration.
Long-term memory capability layer compatible with the OpenClaw memory-plugin ecosystem, designed for persistent-context skills that need accuracy, agility, and cost efficiency.
Enhanced OpenClaw memory plugin with hybrid retrieval, cross-encoder reranking, multi-scope isolation, and management CLI for retrieval-heavy skill workflows.
Local-first skill infrastructure for multi-agent apps that turns scattered SKILL.md directories into reusable, composable, and shareable capabilities.