Curated GitHub repositories every AI agent should know.
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Claude Code 2.1.212 shipped hard, session-scoped ceilings on subagent spawns and web searches — both default to 200. Here's what each one actually stops, why the spawn cap is a loop-breaker and not a spend cap, and how to tune the three knobs that really govern a runaway agent's bill.
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Everyone's shipping 'agent skills from scratch' courses this week. Here's the actual build: one folder, one SKILL.md file, and the frontmatter that decides whether Claude ever loads it. Copy-paste ready.
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Agentjacking hijacks your coding agent through data it already trusts — a poisoned Sentry error, a booby-trapped Jira ticket. No server is breached and no human approves anything. Here is the concrete config that breaks the attack, and why deny rules alone won't.
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An independent LLM reviewer sits between the allowlist that's too blunt and the human gate that's too slow. Here's how to wire one up, what it costs, and the failure mode nobody warns you about.
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Three big free-or-cheap agent courses are circulating this month, and they teach different things. Here's what each one actually covers, how long it takes, and which to pick based on what you're trying to build.
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They get pitched as rivals. They're not — they answer three different questions. A founder's decision guide to when you write a SKILL.md, when you stand up an MCP server, and when you spawn a subagent.
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Pinecone's Nexus moved to public preview on July 1, 2026 with a $20/month Builder tier. It reframes retrieval as a compile step and ships a query language, KnowQL, built for agents instead of humans. Here's what it is, who it's for, how to start, and when to skip it.
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The 2026-07-28 revision deletes the handshake and the session on the server side. For plain tool servers it's an SDK bump; the real work is replacing per-session state with explicit handles — here's the before/after, server-side.
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Three ways to feed an agent what it needs to know — stuff the window, retrieve at read time, or compile context ahead of time. They fail differently and cost differently. Here's the one test that picks the right one for your workload.
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Object-storage vector databases are cheap because the index lives on S3, not in RAM — which is exactly why the first query to an uncached namespace stalls your agent. Here's how to hide the cold read instead of paying for it every turn.
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MCP Apps (SEP-1865) let your server hand the host a real HTML interface instead of a wall of text. Here's the ui:// resource, the _meta binding, and the postMessage handshake — with the current spec values, not the deprecated ones.
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xAI's Grok Build now ships the same feature surface as Claude Code — subagents, worktrees, MCP, skills, hooks, AGENTS.md, headless. So the decision collapsed to two things: which model bill you can stomach, and which subscription you already pay.
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Connect enough MCP servers and tool schemas alone can eat 150,000 tokens before the agent reads a word. Curation, tool search, or code execution — here's the one question that picks between them.
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You can now append a system instruction partway through a Claude conversation instead of editing the top-level system field — so a long agent can pick up a new rule after 40 cached turns without re-paying for all of them. Here's the API shape, the one placement rule that returns a 400, and why it's a direct token-cost win.
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You can implement the enterprise token exchange inside your MCP server or push it to a proxy in front. The right answer depends on how many servers you run — and who you want holding the IdP secrets.
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LM Studio shipped a standalone agent app on July 16 that runs open models on your own machine: repo-aware coding, document work, and local voice input, with a zero-data-retention cloud option for the heavy jobs. If sending code or client files to a hosted API is a blocker, this is the founder's local-first path.
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You paste the same instructions into your agent ten times a day. Package them once as a SKILL.md — with dynamic context and pre-approved tools — and the agent just knows. A copy-paste walkthrough from empty folder to working /skill.
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The 2026-07-28 spec deprecates three features your server may lean on — Sampling, Roots, and Logging. Nothing breaks on July 28, but the clock started. Here's the before/after for each, with the replacement code.
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The zero-touch OAuth flow that makes a remote MCP server sellable to enterprise buyers is three token calls and four server-side checks. Here's the copy-paste version, using the Identity Assertion JWT Authorization Grant that stabilized in June.
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A published artifact used to be a snapshot frozen at build time. Now it can fetch through MCP connectors every time someone opens it — using the viewer's own connections. Here's what shipped, how it works, and the one prompt that builds it.
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LanceDB and Chroma give you retrieval. mem0 and Zep give you memory. Teams reach for a memory layer when a vector database would have done — and reach for a raw vector database when they're about to rebuild mem0 by hand. Here's the line between them.
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What RAGFlow is, who it's for, how to start in one docker command, what it costs (as of July 2026), and the honest catch — the open-source, Apache-2.0 engine that does deep document understanding first, so tables and layout survive the trip into your vector store.
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What Laminar is, who it's for, how to start in one line, what it costs, and the honest catch — the open-source, Rust-built tracing-and-evals layer that treats a whole agent run as the unit, watches for stuck loops in plain English, and lets you query your traces with SQL.
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Temporal now ships a first-class OpenAI Agents SDK integration inside its Python SDK. Wrap your tools as durable activities, run the SDK's own Runner inside a workflow, and a mid-run crash resumes from the last completed step instead of starting the LLM loop over.
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They look like rivals but answer three different questions. Pick by the job — discovery or extraction — not by the logo you saw first.
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Three vendors shipped the same idea within weeks — let the model write code that orchestrates your tools instead of round-tripping one JSON call at a time. Here's what actually differs, and which one to reach for.
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The release candidate is out and the final spec lands July 28. This is the ordered, do-it-now checklist across the stateless core, the three deprecations, and the auth rewrite — with the exact lines that break.
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Langfuse's scheduled blob exports now write Apache Parquet, not just CSV/JSON. That removes the cast-every-column step between your traces and a warehouse — here's the exact config, a DuckDB query that runs in one line, and the cost-column gotcha to know before you rely on it.
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Both ship on the same runtime — middleware is sugar over a LangGraph graph. The decision isn't which framework; it's which layer. Here are the real hooks, the real node API, and a clean rule for choosing.
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Passing a bare string to a LanceDB full-text index tokenizes it and ORs the terms — good enough until a user types a phrase, a typo, or a term that only matters in one column. The query classes fix all three, and they're a few lines each.
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