Memnox

What it does

AI agents ship bad code because they don't know what your team already decided. Memnox guards your code before agents write it; it ingests your GitHub, Slack, Discord, Linear, and Jira history into one memory and validates every AI plan against your decisions before a line is written. It also works as your proactive project expert, escalating blockers, reviewing PRs, and healing CI. Your coworker that stops bad code instead of watching it happen.

Your agents already do the work. Memnox is how you let them do it while you are not watching: it reads what every agent on your machine can already reach, turns that into a boundary of allow, ask and deny, and puts your working tree back when a run goes wrong. The runtime is open source and the first run needs no account.

They read your files, run commands, call MCP tools, reach your credentials, change repositories, send requests and start other agents. Each sees only its own world. Memnox puts one boundary around all of them, and there are three answers behind it. ....:::::.... ..:=+xXXXXXXXxXXXXXXXx+=-.. .:=xXXx+-::... ...::-+xXXx=:. .=xXx=:. .:=xXx=. .=XXx-. .-+XX=. :xXx-. .-+#@@@@@@@@@@#x-. .-xXx: .-XX=. .x@@@@@@@@@@@@@@@@@@@@@@x: .=XX-. -XX-. .X@@@@@@@@@@@@@@@@@@@@@@@@@@@@X. .-XX- :X#-. =@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@- .-#X: .=#+. x@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@- .+#+. :XX: +@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@@. :X#: -8=. :@@@@@@@@@@@@888888888888888@@@@@@@@@@@@@@@@@@+ .=8=. .+#:…from memnox.com

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  Memmy AgentJul 2026 · memmy.bot · ▲521

  Let every AI remember the same you.

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  ReplicasJun 2026 · replicas.dev · ▲239

  Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…

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  Muscle-Mem, a behavior cache for AI agents2025 · github.com · ▲226

  Hi HN! Erik here from Pig.dev, and today I'd like to share a new project we've just open sourced: Muscle Mem is an SDK that records your agent's tool-calling patterns as it solves tasks, and will deterministically replay those learned trajectories whenever the task is encountered again, falling back to agent mode if edge cases are detected. Like a JIT compiler, for behaviors. At Pig, we built computer-use agents for automating legacy Windows applications (healthcare, lending, manufacturing, etc). A recurring theme we ran into was that businesses already had RPA (pure-software scripts), and…

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  Claude-MemDec 2025 · cmem.ai · ▲115

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  Memno2025 · memno.ai · ▲104

  We built Memno. We like to think of Memno as an AI chief of staff. Every photo, document, and voice note you share becomes searchable memory. Ask "What did we decide about Q4?" and it pulls from all your sources. Can also make calls and send texts on your behalf (with approval!) Each user gets their own isolated environment with dedicated vector database, metadata storage, and object storage instances. Some highlights: - Complete data isolation per user (no shared databases), encrypted at rest - Sub-50ms vector search - Document processing pipeline for OCR/transcription/object…

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  Deep Work PlanJun 2026 · deepworkplan.com · ▲114

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• BA
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  Dev tools · Jul 2026 · bento.page

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  Getting GLM 5.2 running on my slow computer▲937

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  AI · Jul 2026 · github.com

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  Dev tools · Jul 2026 · openseo.so