Your AI has memory. Here's what it doesn't have.
Recall captures what your team learns during AI coding sessions and loads it automatically for every developer, in every tool, on every repo.



Friday 4:47 PM
Sarah debugs a webhook timeout for 90 min
Finds the fix. Commits. Goes home.
Monday 9:12 AM
James picks up the same webhook
His Cursor has no idea what Sarah found.
Monday 9:54 AM
Same wall. Same 40 minutes wasted.
Walks to Sarah's desk to ask.
Monday 9:12 AM
James opens Cursor on the webhook
Recall loads before he types a word:
## Mistakes to Avoid
Don't use default idempotency with Stripe webhooks. Use event deduplication instead.
Sarah Chen, Friday 4:47 PM
Monday 9:18 AM
Correct fix shipped in 6 minutes.
Never hits the wall.
Your team learns 75 things a week.
Your AI knows 3 of them.
5 devs × 3 sessions/day. Every session produces decisions, fixes, and patterns. Without Recall, none of that reaches the rest of the team.
Real output from recall_get_context
## Recent Context
Repository: acme/payments-api
Sessions: 47 | Developers: priya, marcus, elena, tomas, jordan
## Mistakes to Avoid
1. Don't use setTimeout for token refresh debounce. Causes race conditions with multiple tabs. Use mutex pattern instead.
priya, 2 days ago (Claude Code)
2. PgBouncer transaction mode breaks prepared statements. Use session mode for migrations.
marcus, 3 days ago (OpenClaw)
## Key Decisions
1. Event deduplication over idempotency keys for Stripe webhooks.
Reason: Retry logic with idempotency causes timeout after 3 attempts.
sarah, Friday (Claude Code)
2. Auth tokens: 15-min expiry + mutex-locked refresh. No debounce.
priya, 2 days ago (Cursor)
## Recent Sessions
elena — Fixed webhook retry handler + added dead letter queue (yesterday, Codex)
tomas — Migrated auth middleware to edge runtime (2 days ago, Gemini CLI)
jordan — Added rate limiter to /api/process endpoint (3 days ago, OpenClaw)
Loaded in under 200ms. Under 8K tokens. Structured decisions and mistakes, not raw chat dumps.
The #1 thing we hear
It does. And it only remembers you.
Claude remembers your sessions. OpenClaw has MEMORY.md. Cursor has context. None of them remember your teammate's sessions. Built-in memory is a diary. Recall is the team wiki.
Your AI captures 3% of your team's knowledge.
5 devs × 3 sessions/day = 75 learning events per week. Your AI knows about 3.
Recall captures all 75.
Create a free account with GitHub. Add your repos from the dashboard.
One-click setup for Claude Code, Cursor, OpenClaw, Codex, and Gemini CLI. Auto-detects everything.
Next session, every developer on the repo gets the team's context loaded automatically. Under 200ms.
Steve uses Claude Code. Elena uses Cursor. Jordan uses OpenClaw. They share the same team memory.
Session context loads automatically via MCP
Team decisions surface in your Composer and chat
Shared context alongside your MEMORY.md
Cloud sessions get team knowledge from day one
Full team context in every Gemini session
Remote MCP loads team memory automatically

Your OpenClaw has MEMORY.md. Your teammate's OpenClaw has a completely different MEMORY.md. Five developers, five separate memories that never talk to each other.
Recall connects them. Your agent keeps its personal memory. Recall becomes the shared layer underneath. Every agent on the team becomes team-aware.
Get Started FreeWhy we built this
“Has anyone seen this before?” Steve typed into Slack.
I had. Three weeks ago. But that fix lived in a Claude session that was long gone. By the time I saw his message, he'd already spent an hour figuring it out himself.
That kept happening. Not just between us, but across every team we worked with. Someone would solve a problem in an AI coding session, and the knowledge would vanish when the session ended. A week later, another dev would hit the same wall, burn the same time, find the same answer.
The fixes existed. They were just trapped in sessions nobody else could see.
But duplicated work was only half the problem. We started noticing something worse: devs on the same team making changes that directly conflicted with each other. One dev would refactor an API endpoint while another was building a feature on top of the old version. Neither knew what the other was doing. By the time they figured it out, someone's work had to be thrown away and redone.
It wasn't a communication problem. These were good teams. They just had no way to see what their teammates were doing in real time across AI sessions.
We've both been all-in on AI dev tools since day one. Claude, ChatGPT, Gemini, Cursor, all of it, every day. And the biggest problem wasn't the AI. It was that everything we learned disappeared the moment we closed a session. Decisions, fixes, patterns, all gone.
So we did the scrappiest thing we could think of: we built an MCP server that saved everything to a Google Doc. Yeah, a Google Doc. But it worked. Every AI session could finally read from the same place.
From there we built Goldfish, a real memory layer with different context sizes. It worked great for us. But that was the problem. Goldfish was personal. Nobody else could see our sessions. We couldn't see each other's. Teams were still working in isolation, just with better individual memory.
That's the moment Recall became obvious.
We took what we built with Goldfish, made it secure, and rebuilt it so entire teams could share what they learn automatically. No extra work. No Notion docs nobody reads. No Slack threads nobody searches.
One dev solves it. Every dev knows it.
Now when someone on your team hits a bug, their AI assistant already knows if a teammate solved it last week. When someone starts refactoring a module, the rest of the team's sessions know about it. Junior developers work like senior developers because they have access to every solution the team has ever found. And nobody wastes another hour on a problem that was already solved last Tuesday, or worse, building something that has to be thrown away because it conflicts with work they didn't know about.
If you're on a team using AI tools, try Recall. It's free, takes two minutes to set up, and it will change how your team works.
We built Recall with Recall. We're not going back.
Co-Founder
Co-Founder
Every session summary is encrypted with team-specific keys before storage.
Raw transcripts are processed and deleted within seconds. Only structured summaries are stored.
Recall stores decisions, mistakes, and patterns. File paths, not file contents. Your code never leaves your machine.
Export all your data or permanently delete everything from the dashboard. No retention, no games.
Free forever. Two minutes to set up. Works with every AI coding tool.
No credit card. No trial. Just sign up and connect your tools.