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I Built a Nervous System for AI Agents (Not Another Memory Store)

I Built a Nervous System for AI Agents (Not Another Memory Store)

via Dev.to PythonAlex LaGuardia

The Problem Nobody Talks About Everyone's building AI agents. Nobody's building the infrastructure to keep them aware. I've been running ~95 MCP tools across multiple AI agents for the past year — a coding assistant, a trading system, a creative writing setup. Three problems kept hitting me: 1. Cold starts. Every new session starts from zero. The agent has no idea what happened 5 minutes ago in a different session. 2. Token bloat. Loading 95 tool definitions into context burns ~50,000 tokens before the agent does a single useful thing. That's real money and real context window wasted on tools the agent won't use. 3. No coordination. Multiple agents working on the same system can't hand off work or share awareness without me copy-pasting context between them. The existing tools (Mem0, Letta, LangGraph) solve pieces of this. Mem0 does memory retrieval. Letta does stateful agents. LangGraph does workflow state. But none of them give agents awareness — a continuously-compiled understanding

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