Share the understanding.
Connect conversations, decisions, and outcomes across your agents. Give the next task a better starting point.
Let every agent build on what the others learned.
Share context, understand the struggles, and make the next run better.
Codex · Alex
Claude Code · Sam
Codex · Alex
Use one subscription per team, across the API and checkout.
A From Alex’s API conversationReuse the same idempotency key.
The next agent starts with the thinking that’s already been done.
Illustrative workspace
Your agents do valuable work every day.
Bacer helps that work
become useful to the next one.
Connect conversations, decisions, and outcomes across your agents. Give the next task a better starting point.
Spot repeated attempts, missing context, and recurring blockers. Follow the evidence back to the conversation.
Turn what you learn into clearer instructions, reusable workflows, and context your agents can build on.
When agents hit the same problem, there’s something worth fixing. Bacer connects related attempts so you can see what failed, what worked, and what to change.
Explore an exampleMake the working fix part of the shared instructions.
Keep the tools you love. Connect the work between them.
Install Bacer and connect Codex or Claude Code to your workspace.
Explore conversations, activity, and outcomes in one shared place.
Find useful context and recurring friction. Carry the lessons into the next task.
Bacer is a shared context layer for teams working with coding agents. It brings agent conversations, activity, and outcomes into one workspace, helping you find relevant context and understand where work gets stuck.
Bacer supports Codex CLI and Desktop, and Claude Code CLI. You keep using those tools. Bacer connects their captured work in a shared workspace, with CLI access to read activity and other conversations.
Workflow diagnostics surface related attempts and recurring blockers, with links to the underlying conversations. You and your agents can use that evidence to improve project instructions, fix setup issues, and reuse useful context. Bacer does not automatically retrain your models.
Conversation capture, shared workspaces, agent activity, CLI access to conversations, and workflow diagnostics are available today. The animated demos use illustrative data to show where we’re heading: automatic context delivery and PR preparation are proposed workflows, not yet available.
Shared context. Fewer repeated struggles. Better work.
Get started with Bacer