
Agent Cowork Memory
io.github.rxthlessbeats由 GitHub 帳號 rxthlessbeats 發布v0.3.2更新於 Oct 29, 2026
Shared memory and delegation for Codex, Cursor, Claude Code, and OpenCode.
發布方自己的服務:Memory.fit
概覽
為 Codex、Claude Code、Cursor 與 OpenCode 提供共用的專案記憶,讓助理能接續其他代理的對話、共用筆記並分派工作。
- 可以做什麼
- 讀取執行緒脈絡、時間軸、專案筆記、開放執行緒、近期工作與已佔用檔案
- 儲存所有代理都看得到的筆記,搜尋筆記與委派工作的結果,標示過期筆記
- 列出各代理的近期對話,並接續選定的對話加入其執行緒
- 把工作連同簡要說明分派給其他代理並等待結果
- 透過命令列執行 setup、status、doctor 與 backup 等指令
- 適用情境
- 適合在同一專案上交替使用多個程式開發代理、希望脈絡自動延續而不必貼上摘要的情況,也適合讓一個代理在背景把工作交給另一個代理。
- 執行需求
- 以 npx 執行的本機程序,需要 Node 24 或更新版本。setup 會把 ACM 加入 Cursor,以及已安裝的 Codex、Claude Code 與 OpenCode,之後需重新啟動這些代理。狀態存放在家目錄下的資料夾,可用 ACM_HOME 變更位置。可選用 herdr 顯示獨立窗格。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Agent Cowork Memory,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Agent Cowork Memory (ACM)
Hit your Codex limit mid-task? Open Cursor, say "continue from Codex", and keep going. ACM gives Codex, Claude Code, Cursor, and OpenCode one shared memory, so you never paste context again, and any agent can put the others to work.
Verified by benchmark: with Codex on 38 held-out tasks, ACM finished 223 of 228 runs, against 130 with a pasted summary. Cursor and OpenCode performed similarly with ACM and summaries.
[GitHub Release]
[npm]
[CI]
[License]
[M8ven Score]
[Agents supported]
[Node]
[Benchmark]
[MCP supported]
[CLI supported]
[Codex icon] Codex · [Claude Code icon] Claude Code · [Cursor icon] Cursor · [OpenCode icon] OpenCode
Demo
[Claude Code delegates to Codex, Cursor, and OpenCode through ACM]
More demos on the ACM official site
Install
With Node 24 or newer:
Setup adds ACM to Cursor, and to Codex, Claude Code, and OpenCode when they are installed; Installed one later? Run setup again. Restart your agents, and ACM is available in every project.
Tested for real on Linux and WSL. macOS and Windows pass CI; real runs welcome.
Use
Memory Sharing
Open the same project in Codex and Cursor. To pick up a chat in the other agent, ask:
Use ACM to continue from Cursor.
Or, in Cursor:
Use ACM to continue from Codex.
Every agent can see every chat in the project. If there is more than one, the agent lists them (agent, time, thread, first message, and whether ACM started it for a delegated job) and asks you which one to continue. You can also name it:
Use ACM to continue the Codex chat about the trip.
Related work goes together in a thread: continuing a chat, or delegating from it, keeps the work on one thread, and a new chat can join one of the project's open threads. ACM keeps each thread's timeline as things happen (chats joining, jobs starting and finishing, notes added), so any agent can see where the work stands.
Ask your agent to remember a decision, and every agent in the project sees it. Notes stay true.
Delegate to other agents
Any agent can hand work to the others:
Tell codex to write plan.md, and claude to write packing.md.
Each agent gets a brief, joins the thread it was sent from, claims the files it edits so they don't collide, and reports back. Agents run in the background. With herdr installed, each one gets its own pane you can watch (herdr session attach acm). If you resumed a chat that's open in a herdr pane, work for that agent goes back to that chat, in its pane.
Benchmark
What it evaluates
- How much of earlier chats' context survives when a new chat continues the work.
- Each task is a small Python repo in two steps: earlier chats do step 1 and leave step 2's details in the chat.
- The details sit in one short or long chat, spread over two chats, changed later, corrected mid-chat, or against a README that still says the old thing.
- A run counts only if every hidden check passes, existing tests still pass, and no old or replaced value is implemented.
What we tested
- Codex (gpt-6-luna, medium effort), Cursor (Grok 4.7 High), and OpenCode (GLM-5.3-Flash), continuing the work five ways:
- no ACM;
- ACM ("Use ACM to continue from my last chat…");
- the summary the earlier chat writes when asked;
- a careful handoff note, including any Markdown files its turn wrote;
- every earlier chat pasted in.
- Held-out tasks written before the runs, with the analysis fixed in advance. Pilot checks and earlier-chat guards determine which tasks count for each agent.
- Two independent histories, 3 runs per way per history; no ACM runs once per history.
MCP tools
ACM tells which chat it is in on its own; no tool needs a session or, from the project folder, a path (every tool takes an optional repo_path).
CLI
--home <dir> (or ACM_HOME) moves ACM's state folder from ~/.agent-cowork-memory. Run them with npx -y agent-cowork-memory <command>, or acm once it's installed globally.
來源:README.md,提交 be804bc
工具
0版本歷史
4- v0.3.2最新Oct 29, 2026
- v0.3.1Oct 20, 2026
- v0.3.0Oct 6, 2026
- v0.2.1Sep 30, 2026
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