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🤖 Agent Architectures
Patterns for building autonomous AI agents. Grounded in the Clawd Ecosystem work.
Core components (from Clawd)
- Core memory — persistent
MEMORY.mdthe agent reads/edits (this vault's Decision Log mirrors the idea) - Skills / capability registry — browsable, editable set of agent abilities
- MCP servers — tool integration layer → MCP
- Activity feed / observability — see what the agent did (tiger-build)
- Agent control plane — dashboard to manage the above (OpenClaw Dashboard)
Patterns to write up → 60 - Knowledge
- Memory: short-term context vs. durable core memory vs. retrieval
- Skill/tool selection & routing
- Single-agent vs. multi-agent orchestration
- Human-in-the-loop checkpoints
Related
Clawd Ecosystem · Agent Frameworks · MCP · LLMs · MOC - AI