Your agents
don't remember.You're paying for it.
Memtrace is shared memory for your coding agents: one graph your whole fleet reads from. It turns your repo into a living map agents can actually read, keeps every version with MemDB, memory with time built in, so any past moment replays in milliseconds, and coordinates the Fleet so agents stop stepping on each other.
Fleet coordination
Code map: your repo, graphed
MemDB: memory with time built inThree jobs. One graph.
Memtrace isn't three tools glued together. It's one graph that does three things: it maps your code, remembers every version with MemDB (memory that has time built in), and coordinates the agents reading from it. One source of truth, three jobs.
Fleet
Code map
MemDB
Measured on real teams. Not a pitch deck.
Every number below comes from production workloads. If it sounds too round, we rounded down.
Faster than the next-best graph+vector database (ArcadeDB). Because we wrote our own, from the storage layer up.
Every other database can't replay the past in one query. MemDB can. Every record knows when it was true, so you can rewind to any moment.
When agents ask "what will this break?" they get the right answer, almost always. Not a fuzzy match. The real call graph.
Faster than a page scroll. Agents can check impact before every edit without slowing down.
Conflicts resolve before they show up as merge hell. Measured across a 1,000-task fleet against an identical siloed baseline.
9 out of 10 overlapping intents auto-resolve. A human only gets pulled in when a real decision has to be made.
Two engineers. Two agents. Same file. Zero merge conflicts.
A live trace from a real team. Two agents touch the same file at the same time. Memtrace sees the overlap coming, picks the safe way through, and both branches land clean. Neither engineer gets pinged.
Every new agent makes the last one cheaper.
Traditional fleets fight each other. Memtrace fleets share one graph. The savings curve isn't linear.
Engineers stop playing referee
Two agents touch the same file. The fleet sees it coming, figures out the safe way to combine the work, and lets both ship. You get a clean branch, no merge hell, no Slack thread.
Agents stop re-reading your repo
They share one map. Spin up 50 agents and you don't pay 50 times to scan the codebase. They all read from the same place.
Nothing gets lost
Every attempt, even the ones agents gave up on, stays in history. No repeated mistakes, no forgotten decisions. The graph remembers what the chat forgot.
Agents don't re-read the repo
One ingested graph. ~80 tokens to resolve a coordination read. Spin up 50 agents; you don't pay to re-chunk the codebase 50 times.
Nothing is ever redone
Every attempt, even the ones agents gave up on, stays in history. No repeated mistakes, no forgotten decisions. The graph remembers what the chat forgot.
The fleet pays for itself at 3 agents.
At 2 agents, the Fleet saves 20% of coordination tokens. At 10, it saves more than 60%. The graph becomes a shared working memory instead of 10 separate prompt contexts re-enumerating the codebase.
Public access is still paced. The waitlist stays visible.
Join with GitHub or Google, lock your place, and keep the same referral loop while the team opens more seats.
Get a queue position, then bring the fleet in when your seat opens.
One graph. Real access. The public landing still drives into the waitlist instead of pretending the beta is wide open.
Your agents can't remember.
Memtrace remembers everything, on one graph.
It maps your code, remembers every version with time built in via MemDB,
and lets the Fleet work as a team.
One graph. Nothing gets lost.Connect your repo. Your agents will be reading it in 1.5 seconds, and coordinating with each other before your coffee gets cold.
MemDB · memory with time built in · 8.4× · 0.155ms commitCode map · 97.3% · 13msFleet · coordination · +40% · −94%