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🛠️ ECC Remembers the Gotcha You Hit
⭐ 291,636 · affaan-m/ECCRepo
Most of what we call "agent memory" is a context window that resets the second you close the terminal. ECC treats that as the actual bug. It sits underneath Claude Code, Codex, Opencode, Cursor and the rest, and it banks every hard-won fix as an instinct the agent checks before it repeats the same mistake. The premise is simple: the fix you make at 2am should not have to happen twice.
The agent harness performance optimization system: skills, instincts, memory, security and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Every coding agent forgets the gotcha it just hit, so you re-explain the same fix every session across every harness you run.
Quick start: install the ecc@ecc plugin through Claude Code's guided setup or native plugin commands.
Catch: it is a whole harness layer (skills, instincts, memory, security), not a drop-in snippet, so budget a setup session before it pays back.
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langgenius/difyRepo ⭐ 159,830
An open-source workspace for building agentic workflows and RAG pipelines without wiring orchestration by hand. Catch: needs 2+ CPU cores and 4GiB RAM minimum, so it wants a real box, not a laptop side project.
HKUDS/DeepTutorRepo ⭐ 47,784
A personalized tutoring system with an agent-native CLI and built-in memory for a learner's progress. Catch: shipped a modular-install overhaul this week, so expect the setup path to shift under you for a few releases.
cloudflare/security-audit-skillMCP ⭐ 51,461
A coding-agent skill that runs a structured six-phase security audit with independently verified findings. Catch: it is the single-repo starting point Cloudflare's fleet-wide harness evolved from, so treat it as the seed, not the whole system.
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New here? Start with The Awakening. It's free, it takes one sitting, and it's where every reader should begin.
Get the one assumption in your plan that will actually sink it.
Start Here is one prompt from our pack, every issue, tested on ChatGPT and Claude. Copy it, paste it into the free app you already use, and fill in the three bits in capitals: what the plan or proposal actually is, what saying yes to it would commit you to, and the full text of the thing itself.
What this is: [WHAT THIS IS]
What going ahead would commit me to: [WHAT COMMITTING MEANS]
The plan or proposal, as it was written:
[THE TEXT]
Give me, in this order:
1. The assumptions, numbered, the most damaging first. For each: the assumption in one plain sentence, the words in the text that carry it quoted exactly, and what would have to be true for it to hold.
2. Beside each, one word: checkable or not. Checkable means I could find out before I commit. For every checkable one, the check in a sentence, and it has to be something a person like me can do this week: my own records, one phone call, an hour with the supplier, a small test, a public register.
3. The assumptions about me. The ones that are about my business, my customers or what I can take on, rather than about the world: the things this needs me to be able to do.
4. What it does not assume. The things the text is careful to state and does not leave hanging, in a short list. If it states almost nothing, say so plainly and keep the list short.
5. The three to settle first, given what going ahead would commit me to.
Rules. Every assumption is pinned to the words in front of you. Where you cannot quote the line that carries it, leave it out. Do not evaluate the plan, do not tell me it is optimistic or risky, do not compare it with another plan and do not write the case against it: that is a different job. Do not go outside the text to tell me what plans like this usually assume, and do not bring in a figure, a competitor, a rule or a season that is not in what I pasted. Where this is somebody else's proposal, say whose assumptions each one is: theirs about my business, or mine in accepting it. If I wrote "I do not know what it commits me to", make that the first line of section 5 and do not fill it in for me. If I pasted fewer than three sentences, say there is not enough there to hunt in and ask for the rest.
The line that makes it work: "Do not evaluate the plan, do not tell me it is optimistic or risky, do not compare it with another plan and do not write the case against it." That one instruction is what keeps the model from sliding into a pros-and-cons list you didn't ask for. It forces a narrower, harder job: find what the document assumes but never says, pinned to the exact words that carry it.
TRY THIS: open the last proposal, quote, or contract sitting in your inbox right now, paste the text in, and run it before you reply to whoever sent it.
This is one of 100 in the Aigent prompt pack. The other 99, plus guided builds with Mike on video, are inside the Aigent membership: Join the Aigent membership. Seven days free, then $29 a month. One click to stop.
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Claude Opus 5.5 leads the newest intelligence-index overhaul at a score of 58, with the best open-weight model now 26 points behind. About 60% of the index now draws on private test sets and held-out answers, so models cannot train on the questions, and the open-weight models took the hit. If you are routing production work to an open model on cost, know exactly how much ground you are giving up and where. (Dealroom)
Anthropic is giving enterprise customers a dashboard that shows what a team produced, what it cost, and where the workflow broke down. It is reporting, not a new model, but it answers the question every ops lead is actually asking about agent spend right now. (TechCrunch)
A critical flaw in EDK2, the open-source firmware most server vendors build UEFI on, scores 9.5 out of 10 and lets an attacker run code before the OS or Secure Boot ever load. If you run anything on bare metal or a VPS, this sits underneath every other defense you have configured. (Ars Technica)
GitHub's 2026 Octoverse reports merged pull requests tripling to 220 million a month and commits more than tripling to 7.38 billion a month, with most of the commit growth landing in the second half of the year. That is agents writing code at a volume no review process was built for. The bottleneck just moved from writing to checking. (Simon Willison)
Microsoft is ending Copilot support on smart TVs less than two years after LG and Samsung announced it at CES. A minor shutdown on its own, but a clean data point on how fast a bolted-on AI feature gets cut when it isn't the product. If your roadmap has a similar bolt-on, ask what happens to it the quarter budgets tighten. (The Verge)
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Which best describes you right now?
I keep coming back to the Octoverse number: commits more than tripling in a year isn't a story about agents writing more code, it's a story about nobody having built the review layer for that volume yet. That gap is where the next real tool gets built, and it's not glamorous work.
What's quietly saving you the most review time right now? Hit reply, I read every one.
See you Friday.
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