Curated GitHub repositories every AI agent should know.
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A supervisor hands off to a worker, the worker calls a tool, the tool calls an MCP server — and the run stalls. Here's how to make that legible with OpenTelemetry spans and one trace.
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From an empty file to a running fan-out-and-join agent in one sitting — using the minimal event bus that shipped stable on June 22, 2026. Copy-paste the steps, then swap in your own model and tools.
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The 2026-07-28 spec killed the session handshake — so any replica now serves any request, and blue-green deploys finally become a five-command chore instead of an outage risk.
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The reliability trick behind Claude's 'Outcomes' is a loop you can build yourself in about forty lines: a worker produces an artifact, a separate grader scores it against a rubric, and the gap goes back until it passes. Here's the pattern, the code, and the two mistakes that make it useless.
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After OpenAI's July 30 price cut, Luna is a fifth of its launch cost and the tier spread is now up to 25x. Here's how to route your work so you're not paying flagship rates for jobs a cheap model finishes just as well — with the per-token math.
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Both let you own the control flow instead of renting a black-box agent loop. The choice comes down to one question — is the hard part your org chart of agents, or the events between your steps?
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Three ways to extend a Claude agent that founders keep confusing — one teaches it a workflow, one gives it a capability, one buys it a clean context. Here's the decision rule.
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Managed-agent vaults store a secret as an opaque placeholder inside the sandbox and swap in the real value at the network edge — so a prompt-injected agent can't leak a key it was never shown. Here's the exact call, the injection_location rules, and the two clients this breaks.
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Three ways to hand real work to an agent — finished documents, governed cloud agents, or tasks that keep running while your laptop is closed. A decision guide for a small team picking exactly one, with what's verified and what isn't.
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You'll ship a working `writing-pr-descriptions` skill that teaches an agent your exact PR format once — then reuses it everywhere without re-prompting.
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An AI agent is a while-loop around one model call. Here's the ~90 lines of Python that does what LangGraph does for an MVP — and the three seams where a framework starts to earn its keep.
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An "agent" is a while-loop around a model call with tool results fed back in — the framework is optional, and the spine that makes it a coding agent is about 40 lines.
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The same SKILL.md that works in Claude Code can quietly break on the API — no network, no package install, and it isn't even uploaded there. Here's what changes per surface before you ship.
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An event-driven durable execution engine for background jobs and long-running agent steps — for solo founders who don't want to run their own queue and worker fleet.
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Keep LangGraph for orchestration, get a React streaming chat for free. The rewritten adapter turns a graph stream into an AI SDK UIMessage stream in a few lines.
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The 2026-07-28 spec ships in a week, and the official SDKs already have betas you can install now. Here's the concrete upgrade — the new package names, the FastMCP → MCPServer rename, the .tool() → registerTool() codemod, and how to flip on stateless — with old-vs-new code.
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The 2026-07-28 spec is the same in every language, but the four official SDKs drew the compatibility line in four different places. A decision guide for the founder building a server this month, not next year.
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The 2026-07-28 spec makes MCP stateless — but a stateless server still needs to ask the user 'are you sure?' mid-call. Here's how MRTR replaces the held-open SSE stream, and how the new Mcp-Method header lets a plain gateway route your traffic.
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The 2026-07-28 spec says you can drop sticky sessions — but a leftover in-memory map will still pin you. Here's the test that catches it before July 28.
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LangGraph 1.2 shipped two new streaming APIs on top of the old stream_mode dicts. Here is what version="v2" and version="v3" actually change, and which one to reach for.
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Three open-source ways to see what your agent actually did. One is built for debugging, one for prompt management, one for ML-grade eval rigor. Here's which to standardize on — and why the choice is really about your team's core workflow.
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A skill that never fires is worse than no skill — you paid to write it and the agent ignores it. The fix isn't a better prompt, it's a 40-line labelled eval that measures whether the skill triggers when it should and stays quiet when it shouldn't.
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Now that /fork spins off real background sessions, 'I'll just trust it' stops scaling. Here's how to make parallel Claude Code agents observable: the agents view, --forward-subagent-text, stream-json, and the 'Needs input' state that tells you which one is stuck.
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A skill is a prompt in a folder, so a bad edit ships silently — no compile error, no failed test, just an agent that quietly behaves differently. Here's how to put skills under version control and get back to a known-good state in under a minute.
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Google shipped a code-execution sandbox that lives inside your existing Cloud Run instance — millisecond starts, deny-by-default egress, and no extra bill. Here's the copy-paste path from a model's Python output to a safe result, and where the isolation stops.
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A looping agent can spend a month's budget in an afternoon. The fix isn't one setting — it's three independent brakes: a provider cap, a gateway budget, and a hard limit on the loop itself.
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The stateless rewrite got the headlines; the auth hardening is what will break your integration on July 28. Three client-side fixes — validate iss, declare application_type, discover the server the right way — with the exact code.
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Langfuse v4 is not a library that ships data to Langfuse anymore. It's an OpenTelemetry layer. Here's the 10-minute setup that actually works in July 2026 — and why the code you'll find online no longer does.
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CrewAI 1.15 lets you describe a whole multi-agent flow in a config file — here's the minimal shape and how to run it.
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You picked Kimi K3 for bulk and Claude Sonnet 5 for the hard tasks — now wire them behind one interface so switching is a config change, not a rewrite. Here's a ~40-line router with task-based selection and automatic failover, using the OpenAI SDK pointed at an OpenAI-compatible gateway.
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