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Every coding agent you run takes its own notes and forgets them the second you switch tools. Claude Code jots its version, Cursor jots a different one, and the moment you quit one for another the context dies with it. ai-memory removes that wall entirely: one shared memory that follows the work across more than twenty harnesses, so quitting Claude Code mid-task and opening Codex in the same directory actually picks up where you left off instead of making you re-explain the architecture from scratch.
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The Drops
Repoai-memory
11,211 stars · akitaonrails/ai-memory
Shared long-term memory for coding agents that follows you across tools instead of living inside one.
Here is the real problem it solves. You quit Claude Code mid-task, open Codex in the same repo, and it has no idea what failed, what you tried, or what's still open. Every switch costs you a re-explain.
Quick start: run ai-memory run codex after quitting Claude Code to hand it the shared workstream plus a private local projection of the prior session.
Catch: more than twenty harnesses feed the shared memory, but the remote server only gets harness and session identity, never your local transcript, so cross-machine recall still depends on what you've synced.
AffiliateHubSpot
If today's fix is agents finally sharing memory across tools, your sales and marketing stack has the same problem: every handoff between a form fill, an email and a deal stage still has to be wired by hand. HubSpot Marketing Hub has a visual workflow editor that sends the email, sets the task or moves the deal when a contact does something. You can get started free; premium features start at $20 a month per seat.
Use it for: collapsing the if this then that you run across three tools into one workflow.
We may earn a commission.
Repocodebase-memory-mcp
46,937 stars · DeusData/codebase-memory-mcp
A local MCP server that turns your codebase into a queryable knowledge graph instead of a pile of files.
Use it for: handing Claude Code or Codex call graphs and architecture instead of making them grep the repo cold, with reported token savings around 120x on multi-query exploration.
Catch: the headline savings come from the project's own five-query benchmark, not an independent test, so treat the number as a ceiling not an average.
Repoobsidian-mind
5,387 stars · breferrari/obsidian-mind
A self-organizing Obsidian vault that gives coding agents persistent memory between sessions.
Use it for: an agent that opens a session already knowing what project you're on, what's blocked, and what you decided last time, without you repeating it.
Catch: full support is Claude Code, with Codex CLI and Gemini CLI running on working hooks rather than native integration.
ToolSerena
30,398 stars · oraios/serena
An MCP toolkit that gives any coding agent IDE-grade semantic retrieval and editing instead of line-number guessing.
Use it for: pairing with ai-memory or codebase-memory-mcp so your agent both remembers the project and navigates it at the symbol level.
Catch: the gains concentrate in larger, more complex codebases; a small script barely notices it's installed.
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Start Here
Turn a raw status log into an update your boss can actually use
One prompt today instead of a how-to. It is one of ours, tested on ChatGPT and Claude. Copy it, paste it into the free app you already use, and fill in the two bits in capitals: the messy log of everything that happened, and who you're writing it for.
[RAW LOG]
Turn it into a status update for [AUDIENCE].
150 words at most. Plain language. Short paragraphs, not a wall of bullets.
Lead with where it stands: on track, at risk, or blocked. Say which one and give the reason from my log in the same sentence. If the log does not carry enough to tell, open with "status not clear from the log" and name the one thing you would need to know to call it. If the log names the deadline and what is done, call it. Status not clear from the log is for a log that names neither. Do not pick a status from how busy the log looks.
Then, in this order and still in short paragraphs: what is done, what happens next, and anything the reader has to decide. If the log names no decision for them, write "nothing needed from you" and end there.
Everything comes from the log. Do not invent a date, a name, a cause, a risk or a percentage complete. Where the log records something half finished, say it is half finished rather than deciding which way it went. Where two entries contradict each other, use the later one and say you did.
The line that makes it work: "Lead with where it stands: on track, at risk, or blocked. Say which one and give the reason from my log in the same sentence." Most status updates bury the verdict under a pile of activity. This forces the model to make the call first and justify it, so the reader gets the answer before the evidence.
TRY THIS: open whatever thread, doc, or Slack scroll holds this week's real mess, the unedited one, and paste it straight into the prompt. Two minutes, and you have a status update instead of a wall of text nobody will read.
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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You already got a clean read out of a messy log. A daily digest does the same thing for the entire AI tool landscape, so you're not the one scanning it all. AI Chief, the newsletter on the AI tools worth your time rounds up the tools and breakthroughs that save you time so you stay sharp without reading everything yourself, free to subscribe. We may earn a commission. |
Frontier Signals
OpenCode's online platform got breached, and stored API keys leaked. Attackers broke into OpenCode Console overnight, affecting 1.4% of its users, and developers woke up to spend alerts and unauthorized charges on their OpenAI, Anthropic and Google accounts. The open-source app and CLI were not affected. Rotate any key you've ever pasted into a web console, not just your local env file. (TechCrunch)
Four chained Plex vulnerabilities are being exploited in the wild to drop cryptominers and proxy malware. A researcher's honeypot saw scanning within a day of the chain going public, then successful infections. If you self-host Plex anywhere reachable from the internet, update to 1.43.3 now. (Ars Technica)
Simon Willison shipped a fix for llm-tools-datasette after his own switch to httpx2 in LLM 0.33 broke it. The breakage is the lesson: swap a core HTTP library under a plugin ecosystem and anything that used it without declaring it goes down quietly. Audit your own plugin chains before you update the thing underneath them. (Simon Willison)
Mercury 3 landed on Vercel's AI Gateway at half off launch pricing, claiming generation speeds above 1,000 tokens per second. That's a real throughput number worth testing against your own latency-sensitive paths, not a reason to switch blind. Benchmark it on your actual workload before you trust the vendor's number. (Vercel)
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Before You Go
Today was one idea stretched across four drops: stop treating agent memory like it belongs to one vendor. ai-memory is the cleanest version of that idea I've seen ship, and codebase-memory-mcp plus obsidian-mind both attack the same wall from different angles. Worth asking yourself which of your own tools still forget everything the moment you close the window.
Reply and tell me what you're running for cross-agent memory, if anything. I read every one.
See you Wednesday.
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