Asymptote-Labs

你在 Claude Code 里纠正过一次错，换个 Codex 窗口，它又犯。 开源记忆层 Beacon 能记下这次纠正，按你定的规则存成共享记忆，另一个 Agent 也能读到。 开源仓库：Asymptote-Labs/agent-beacon 按项目介绍，支持 Claude Code、Codex、Cursor、OpenCode 等 20 多个 Agent 运行框架。 原帖作者的四步，可以直接照着跑： 1、给 Claude Code 一个编程任务，它改代码、跑测试，Beacon 在后台录下整个过程。 2、让 Jev（做判断的模型）评审这次运行。第一次返回“需要复核”，因为他还没给正确改法，他的应用按规则什么都没存。 3、他手动纠正 Agent，Agent 改完重跑测试。Jev 再评审，这次符合应用的存储规则。 4、把纠正和证据存成共享记忆。另开一个 Codex 会话，明确让它读这条记忆，Codex 直接想起来了，不用重新解释。 分工要看清楚：Beacon 负责记录，Jev 负责判断什么值得留，你的应用负责定规则、决定存不存。不是让模型自己乱记。 价值也不在“记忆”两个字，在跨工具。你在一个 Agent 里踩过的坑，能带到另一个 Agent。 同一支视频里还讲了：会话在 Agent 之间迁移、把经验做成可复用技能、从 Agent 的操作记录里发现安全风险。作者是 Asymptote Labs 联合创始人 Justin。

@asymptotelabs Repo here → Asymptote-Labs/agent-beacon huge credit to → @jqdsouza and @asymptotelabs for building Beacon and sharing it with everyone as open source 🙏 if you find it useful, show them some love with a GitHub star ⭐️

2,577 Stars 2 Din Mein: AI Coding Ki Agli Chhalaang OpenAI Se Nahi? 5 GitHub Launches #Shorts Top 5 trending GitHub repos, Hindi mein - har number aaj check kiya gaya hai. Is week ke top trending repos, 75k+ stars combined: 1. Asymptote-Labs/agent-beacon (3k stars) - The cross-harness, self-improving memory layer for AI agents. Join our community: discord.com 2. trycua/cua (31k stars) - Scale computer-use 2.0 with open-source drivers, cross-OS sandboxes, and benchmarks for training, evaluation, and data generation. 3. Fei2411/DeepSeek-Bot (3k stars) - A team of long-lived bots for DeepSeek Harness, with main bots, bot-to-bot messages and group chats. 4. noahdunnagan/fsearch (2k stars) - Whole-disk file search for macOS: fuzzy names, typo tolerance, indexed content grep. ~1 ms over 8M files. 5. utmapp/UTM (36k stars) - Virtual machines for iOS and macOS Repo links: Asymptote-Labs/agent-beacon trycua/cua Fei2411/DeepSeek-Bot noahdunnagan/fsearch utmapp/UTM Comment karo "VIEWS" - saare links DM mein bhej dunga. Kisi dev dost ko bhejo jise ye chahiye. Save karlo, baad mein kaam aayega. Naman AI - AI aur dev tools, Hindi mein. Har din naya repo, har number verified. #Shorts #GitHub #AI #OpenSource #TechHindi [github trending repos, best github repositories 2026, top 5 github repos, open source projects for beginners, ai coding agents, github stars] [coding in hindi, tech shorts hindi, programming for beginners, developer tools 2026, ai tools for developers, learn coding free] [bn] ২ দিনে ২,৫৭৭ স্টার: এআই কোডিংয়ের পরবর্তী ধাপ ওপেনএআই থেকে নয়? ৫টি গিটহাব লঞ্চ #Shorts হিন্দিতে শীর্ষ ৫টি ট্রেন্ডিং গিটহাব রিপো - আজ প্রতিটি নম্বর চেক করা হয়েছে। এই সপ্তাহের শীর্ষ ট্রেন্ডিং রিপো, সম্মিলিতভাবে ৭৫ হাজারেরও বেশি স্টার: ১. Asymptote-Labs/agent-beacon (৩ হাজার স্টার) - এআই এজেন্টদের জন্য ক্রস-হারনেস, স্ব-উন্নয়নশীল মেমরি লেয়ার। আমাদের কমিউনিটিতে যোগ দিন: discord.com ২. trycua/cua (৩১ হাজার স্টার) - ওপেন-সোর্স ড্রাইভার, ক্রস-ওএস স্যান্ডবক্স এবং প্রশিক্ষণ, মূল্যায়ন ও ডেটা তৈরির জন্য বেঞ্চমার্কের মাধ্যমে কম্পিউটার-ব্যবহার ২.০-কে স্কেল করুন। ৩. Fei2411/DeepSeek-Bot (৩ হাজার স্টার) - DeepSeek Harness-এর জন্য দীর্ঘস্থায়ী বটদের একটি দল, যেখানে রয়েছে মূল বট, বট-টু-বট মেসেজ এবং গ্রুপ চ্যাট। 4. noahdunnagan/fsearch (2k stars)- macOS-এর জন্য সম্পূর্ণ-ডিস্ক ফাইল অনুসন্ধান: অস্পষ্ট নাম, টাইপো সহনশীলতা, সূচীকৃত বিষয়বস্তু grep। 8M ফাইলের উপরে ~1 ms 5. utmapp/UTM (36k তারা) - iOS এবং macOS এর জন্য ভার্চুয়াল মেশিন রেপো লিঙ্ক: Asymptote-Labs/agent-beacon trycua/cua Fei2411/DeepSeek-Bot noahdunnagan/fsearch utmapp/UTM মন্তব্য করুন "দর্শন" - সারা লিঙ্ক ডিএম মে ভেজ দুঙ্গা। কিসি দেব দোস্ত কো ভেজো জিসে ইয়ে চাহিয়ে। করলো বাঁচাও, বাদ মে কাম আয়েগা। নমন এআই - এআই অর দেব টুল, হিন্দি মে। প্রতিদিন নতুন রিপো, প্রতিটি নম্বর ভেরিফাইড। #শর্টস #গিটহাব #এআই #ওপেনসোর্স #টেকহিন্দি [গিটহাব ট্রেন্ডিং রিপো, সেরা গিটহাব রিপোজিটরি ২০২৬, সেরা ৫টি গিটহাব রিপো, নতুনদের জন্য ওপেন সোর্স প্রজেক্ট, এআই কোডিং এজেন্ট, গিটহাব স্টারস] [হিন্দিতে কোডিং, হিন্দি টেক শর্টস, নতুনদের জন্য প্রোগ্রামিং, ডেভেলপার টুলস ২০২৬, ডেভেলপারদের জন্য এআই টুলস, বিনামূল্যে কোডিং শিখুন]

How to share memory between Claude Code, Codex and Cursor with Beacon You fix a mistake in Claude Code. Tomorrow you open Codex or Cursor and correct the exact same mistake again, because each harness keeps its own memory. Beacon by Asymptote Labs is an open-source, local-first memory layer that sits across the harness layer. It captures session history from Claude Code, Cursor, Codex, OpenCode, Cline and 20+ other harnesses into one OpenTelemetry-based trace format, then turns useful workflows, corrections and debugging patterns into reviewed knowledge that future agents can retrieve through MCP or Agent Skills. The README sums it up in one line: a problem solved by one agent should not need to be learned from scratch by another. This guide sets Beacon up in Local mode, shows how to check what it captured, and covers the two other jobs it does well: exact session replay and sending agent activity to a SIEM. Before you start: Local vs Beacon Cloud Interactive setup signs in through beacon.sh and preselects Beacon Cloud, with an explicit Local opt-out. Signing in forwards nothing. Confirming Beacon Cloud installs Beacon and starts forwarding your history to Asymptote Labs, and the confirm screen says so before you accept. Beacon records prompts, responses, commands and file edits. If you ever paste an API key into an agent, it can end up in a trace. If you want everything to stay on your machine, pick Local. You can disconnect a cloud endpoint any time with beacon endpoint disconnect. Install The fastest path is to let your coding agent do it. Paste this into Claude Code, Codex or Cursor: Read https://beacon.sh/start.md then set me up on Beacon Or install by hand on macOS: brew update brew trust asymptote-labs/tap brew tap asymptote-labs/tap brew install beacon beacon endpoint install On Linux (Debian, Ubuntu, Fedora, RHEL, Rocky, Alma) the installer picks the .deb or .rpm for your architecture and verifies it against the release checksums.txt: curl -fsSL https://github.com/asymptote-labs/agent-beacon/releases/latest/download/install.sh | bash If you prefer not to pipe a script into your shell, download it, read it with less install.sh, then run bash install.sh. On Windows, download the x64 MSI from the latest release and run msiexec /i BeaconEndpointAgent-<version>-x64.msi. When beacon endpoint install asks for a destination, choose Local. Install the Beacon Skills Whichever destination you pick, the wizard installs the Beacon Skills into ~/.agents/skills and ~/.claude/skills unless you turn them off. These are the Agent Skills that recall and distill project memory from your traces. To redo or undo that later: beacon skills install beacon skills uninstall In Claude Code you can also install the plugin from the repo's marketplace with /plugin marketplace add asymptote-labs/agent-beacon, or use the skills CLI with npx skills add asymptote-labs/agent-beacon. Use your agents normally That is the whole step. Open Claude Code, Cursor, Codex or any supported harness and work as usual. Beacon captures session history in the background. Check what Beacon captured beacon traces This opens a local terminal browser for traces, event timelines, token usage and retained content. Nothing is sent anywhere. For a local web view: beacon endpoint dashboard Or read the raw event stream directly at ~/.beacon/endpoint/logs/runtime.jsonl. It is plain JSONL, so you are never dependent on the UI. Recall memory from another agent Beacon's loop is: run agents, capture history, evaluate what worked, extract useful knowledge, review and approve, reuse across future agents. That review step matters. Expect to curate what Beacon extracts rather than get perfect memory on day one. To expose memory over MCP: - Locally: beacon mcp serve runs the local beacon MCP server, which never touches the network. - With Beacon Cloud: beacon mcp connect registers the beacon-managed MCP server in Claude Code, Codex CLI, Cursor, VS Code, Gemini CLI and OpenCode. Each harness signs in with OAuth the first time, no token is written, and beacon mcp disconnect removes exactly what it added. A good first test prompt, run in a second harness after a session in the first: Recall what Beacon learned about <project task> in this repo and tell me which past session it came from. Bonus 1: replay exactly what an agent did Each session becomes one trace with prompts, tool calls, commands, edits, approvals, MCP activity and tokens. In the dashboard, session pages show lenses, such as files changed with their diffs, an itemized token bill, a security review grouped by risk, or the approval timeline. The README warns to install only lenses you trust with your traces. Coverage differs by harness. In the support table, Codex CLI does not report file activity and Cursor does not report tokens, while Claude Code reports every column. Bonus 2: send agent activity to your SIEM Beacon writes local JSONL by default and can forward the same normalized history to Splunk HEC or CrowdStrike Falcon LogScale HEC during install or repair. Microsoft Sentinel, Sumo Logic, Wazuh and Rapid7 InsightIDR use Beacon content packs, Datadog and Elastic collect the local JSONL with their own agents, and S3 or GCS work through Vector. The per-SIEM steps live at docs.beacon.sh. Forwarding sends prompts and commands off the machine, so tell developers what is captured. Use cases with copy-paste prompts - Share memory between Claude Code, Codex and Cursor - Replay exactly what your coding agent did - Send coding agent activity to your SIEM --- Get one email every Monday with the week's hottest AI repos and exactly how to use them: subscribe free at dedupedai.com

3 Trending GitHub Repos: An AI Sales Agent, Cross-Agent Memory & a Safe Disk Cleaner Three repositories trending on GitHub, explained in plain language: what each one does, who should try it, how to get started, and what to watch out for. This time: Harvey, a sales agent that runs on your Claude or ChatGPT subscription instead of an API key; Agent Beacon, a memory layer that lets lessons from one coding agent reach the next; and MangoDisk, a cross-platform disk cleaner that keeps its idea of "safe" in readable rules. ⏱ Chapters 0:00 Intro & this week in dev tools 1:33 Harvey: AI sales agent on your subscription 4:27 Agent Beacon: memory across coding agents 7:45 MangoDisk: safety-first disk cleanup 10:52 Summary 📦 Repos 1. ethanplusai/harvey – Ethan+ (Python · MIT) ethanplusai/harvey Try it: clone the repo, run Claude Code inside it and say "set up Harvey for me" (see the README's Quick start) 2. Asymptote-Labs/agent-beacon – Asymptote Labs (Go · MIT) Asymptote-Labs/agent-beacon Install: docs.beacon.sh Memory docs: docs.beacon.sh Plans: docs.beacon.sh 3. harry0703/MangoDisk – Harry (Rust · GPL-3.0) harry0703/MangoDisk Download: mangodisk.app 📰 News mentioned • Replit makes OpenAI its default, drops Anthropic (Oct 16): techcrunch.com • JetBrains' Java and Kotlin extension for VS Code and Cursor reaches 1.0 (Oct 15): blog.jetbrains.com Star counts are as of 22 October 2026. Performance and cost claims are as reported in each project's README. Summaries are simplified; see the repos for full details. Images: • Repo page screenshots: github.com/ethanplusai/harvey, github.com/Asymptote-Labs/agent-beacon, github.com/harry0703/MangoDisk · screenshot • Harvey dashboard: github.com/ethanplusai/harvey/blob/main/docs/dash… · MIT • Beacon local dashboard: github.com/Asymptote-Labs/agent-beacon/blob/main/… · MIT If you found this useful, like and subscribe for the next round of trending repos. #GitHub #OpenSource #AIAgents #DeveloperTools #ClaudeCode

Bringing context from Claude Code or Cursor into Codex A correction you gave Claude Code can still be useful when you're working in Codex. Beacon lets you save it for that next session without copying over the whole chat. I'm one of the founders of Asymptote Labs, the team behind Beacon. It records your coding sessions, and you can ask an agent to draft a lesson from one of them. You review it before saving it. Codex can then look it up through Beacon's MCP server, along with the session it came from. To try it, install the Beacon CLI, configure session capture, and add the Codex plugin using the setup docs below. One setup detail: Cloud is preselected. Choose Local if you want to keep captured sessions on your machine. Repo and demo: Asymptote-Labs/agent-beacon

Open-source, cross-harness memory for AI agents Earlier this year, my co-founder and I found ourselves frequently switching between different coding agents (Claude Code, Codex, Cursor) anytime we ran out of shaky usage limits or a newer, better model came out. We became increasingly frustrated with having to re-explain our tasks, workflows, common mistake patterns, etc. anytime we switched agents. We found no good free alternatives out there, so we built our own and fully open-sourced it! Beacon hooks into 20+ different agent harnesses, captures session telemetry (prompts, tool calls, command executions, etc) in one normalized format, and distills it into common patterns and repeatable workflows with a human-approval step. This compounded knowledge is then accessible to any future agent via skills / MCP. We believe your agent data is yours to own and should not be locked behind any frontier lab's ecosystem or closed memory infrastructure. We built Beacon to make working across agents way more transparent and efficient. Try it out and tell us what you think: Asymptote-Labs/agent-beacon

It's been an honor watching @jqdsouza and @shakshukan build Beacon at @spc Check it out here! Asymptote-Labs/agent-beacon

📌 مستودع Beacon على GitHub (مجاني ومفتوح المصدر) مع طريقة التثبيت: Asymptote-Labs/agent-beacon

Get started with Beacon in minutes, and don’t forget to ⭐️ the repo to follow our progress: Asymptote-Labs/agent-beacon