agents
Nowactive
Multi-agent orchestration
Designing workflows where agents can coordinate, hand off state, and recover from tool failures.
AI AgentsOrchestrationRuntime
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Current Focus
AI Experiments
Notes on the systems I am actively exploring: agent orchestration, terminal UX, MCP tooling, memory, and local-first AI infrastructure.
Categories
Tags
developer tooling
Nowactive
AI-native terminal workflows
Building command-line experiences that make AI systems feel local, fast, inspectable, and scriptable.
CLINode.jsAutomation
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memory
Nowresearch
Runtime memory systems
Exploring graph memory, hybrid retrieval, entity relationships, and long-lived context for AI assistants.
Graph-RAGNeo4jpgvector
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mcp
Nowshipping
MCP ecosystem tooling
Shipping security and workflow tools around MCP servers, agent configs, and local AI development stacks.
MCPSecurityPython
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infrastructure
Nowactive
Local-first AI systems
Testing AI infrastructure that can be inspected, self-hosted, and connected through simple APIs.
SQLiteFastAPIDocker
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automation
Nowactive
Autonomous coding workflows
Experimenting with agent control interfaces, build loops, and practical automation for developer tasks.
AgentsDXWorkflow
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