#frameworks
Every post tagged "frameworks".
7 posts · showing 1–7
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Tracing Standards for Agents: What Fits and What's Missing
A run is a trace and a turn is a span — the mapping is cleaner than expected. Two things break: payloads far too big for span attributes, and sampling that discards exactly the runs you need.
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Your First Agent: Build the Smallest Useful One
Three read-only tools, sixty lines of loop, and the raw array printed every turn. Then break it on purpose — a failing tool teaches more in five minutes than a week of building the complicated version.
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Request, Worker, or Durable Execution? Hosting Models for Agents
Where a run lives decides how long it can be, whether it survives a deploy, and whether it can wait for a person. Pick by the longest wait it can hit — and keep state out of process memory so the answer can change.
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MCP: What a Standard Tool Protocol Changes, and What It Doesn't
Portable integrations and runtime discovery are real wins. Tool design, selection accuracy, permissions, and untrusted content are exactly as hard as before — and easy connection quietly makes two of them worse.
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Vector Database or Postgres? Choosing Storage for Agent Memory
Most agent memory reads are filtered similarity or plain structured lookup — relational workloads wearing an embedding. Write down your ten most common retrievals before you add a second database.
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Build or Buy the Eval Harness? What Each Choice Locks In
Teams buy an eval platform and keep their own scripts anyway. The reason is deterministic replay — it hooks into your dispatch layer, which is the one part no vendor can own.
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Framework or Plain Loop? Four Questions That Actually Decide It
The core agent loop is under a hundred lines — that's never what a framework saves you. Four situational questions decide it, and the one about 3am debugging should carry the most weight.