One dev solves it. Every dev's AI already knows it. Your team solves the same bugs twice. The fix lives in one dev's AI session. Everyone else starts from scratch. Recall captures every Claude Code session and shares it across your team automatically.
Decisions, fixes, patterns, gotchas. No extra work. Codex and Gemini coming soon. π End-to-end encrypted. No source code stored. Free for 3 months.
Hey PH! π
We built Recall because every AI coding session our team ran was a dead end. Great work happened, real problems got solved, then the session closed and all that knowledge vanished. The next dev started from zero.
So we built the thing that should've existed from day one.
Recall runs silently alongside Claude Code. When a session ends, it captures decisions, fixes, and patterns. When a teammate hits a similar problem, their AI already has the answer. No Slack threads. No meetings. No "didn't we already fix this?"
And it's not just for devs. Your PM can connect Recall to Claude Desktop and ask "what did the team ship this week?" or "what's blocking the auth migration?" and get real answers from real sessions. No standups required.
We build Recall with Recall every day. Going back to coding without it feels broken.
What matters:
π No source code stored - only summaries and decisions
β‘ 5 minute setup, zero workflow changes
π§ Codex and Gemini support coming soon
π° Free for 3 months, early adopters lock in a permanent discount
Give it a spin at https://recall.team - takes 5 minutes.
We're building this in the open and early feedback is shaping the product directly. Try it with your team and tell us what clicks, what's missing, and how your AI workflow actually looks day to day. We want to nail this for every dev team, not just ours.
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Maker
@raydawg88Β Thanks for grinding on this with me Ray!
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@raydawg88Β This solves a very real problem. AI coding sessions are powerful β but theyβre also disposable. Once the chat closes, the reasoning and decisions disappear.
Turning session output into reusable team knowledge is a big missing layer in the current AI dev workflow.
Question: how do you handle conflicting solutions across multiple sessions for the same problem? Is there any merging or ranking logic?
Upvoted β strong concept. Please keep going on this π
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Velona AI
@raydawg88Β Thanks for grinding on this with me Ray!
@raydawg88Β This solves a very real problem.
AI coding sessions are powerful β but theyβre also disposable. Once the chat closes, the reasoning and decisions disappear.
Turning session output into reusable team knowledge is a big missing layer in the current AI dev workflow.
Question: how do you handle conflicting solutions across multiple sessions for the same problem? Is there any merging or ranking logic?
Upvoted β strong concept. Please keep going on this π
Velona AI
@emrahgΒ Thanks for the comment!
How Recall handles this today is βevidence-first,β not auto-merge:
Β recall_get_context keeps sessions separate and shows them chronologically with who/when/status
Β If two people solved the same problem differently, both approaches are preserved and surfaced; context does not auto-pick a winner.
Β Ranking logic exists in search/deep-search (relevance + quality boosts), but that is separate from base context
Curious if you like that approach or have something else in mind you'd prefer?