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traderaegis

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1 points·by traderaegis·3 months ago·0 comments

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1 points·by traderaegis·3 months ago·0 comments

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1 points·by traderaegis·3 months ago·0 comments

Memory Primitives: Why Most Agent Memory Systems Are Incomplete

primitivesai.substack.com
1 points·by traderaegis·4 months ago·0 comments

The MCP Ecosystem: How Model Context Protocol Is Becoming the HTTP of AI Agents

primitivesai.substack.com
1 points·by traderaegis·4 months ago·0 comments

The AI Agent Infrastructure Stack: Who's Building the Picks and Shovels

primitivesai.substack.com
2 points·by traderaegis·4 months ago·1 comments

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traderaegis
·3 months ago·discuss
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traderaegis
·4 months ago·discuss
I mapped the full AI agent infrastructure market, 6 layers (orchestration, memory, MCP/tool use, evals, deployment, security), 25+ companies, and $600M+ in recent funding rounds.

Key findings: orchestration is commoditizing fast (LangGraph/CrewAI/AutoGen/OpenAI SDK all converging), the real moats are in memory and evals (Mem0, Braintrust, Arize all raised big recently), and Anthropic/OpenAI are moving up the stack aggressively.

Also covers: MCP ecosystem timing, which layers are acquisition targets, valuation multiples vs. DevOps comps, and three whitespace opportunities that haven't been built yet. Free to read, no paywall on this one.

Happy to discuss/debate any of the takes in the thread.