Pairon · private beta
Shared context for AI coding agents
Keep team decisions useful across AI coding sessions. Learn how conversation history, project memory, and handoff briefs work together in Pairon.
By Pairon · Updated
Shared context is the information teammates and coding agents need to continue the same work: the goal, decisions, constraints, verified code facts and unresolved issues. Conversation history preserves the discussion; project memory and handoff briefs make relevant parts easier to reuse.
Separate history, memory, and the handoff
These layers have different jobs. A long transcript is useful evidence, but making a new agent read every turn can include obsolete guesses and repeated output. A shorter brief needs enough detail to point back to the current code.
| Context layer | What belongs there |
|---|---|
| Conversation history | The instructions, discussion, agent replies, and decisions made during the work. |
| Project memory | Verified facts and decisions that are useful beyond one turn. |
| Continuation brief | The original task, recent handoff, changed files, failed attempts, and next step. |
| Current checkout | The actual source of truth for code, branch state, and verification. |
Record the reason and the evidence
“Use the existing helper” is too vague when there are several helpers. A useful note names the decision, why it was made, and where someone can verify it. Mark an untested explanation as a hypothesis.
Do not turn a temporary failure or an agent’s confident guess into a permanent project rule. Recheck saved facts when the surrounding code changes.
Decision: reuse the existing request deduplication helper. Reason: the retry path must preserve idempotency. Evidence: the helper is already used by the create endpoint and its regression check covers duplicate requests. Still unresolved: timeout recovery for a disconnected worker.
Illustrative instruction; adapt it to your project.
Continue the work on another computer or agent
In Pairon, teammates can reopen the conversation, connect their own computer and continue with a supported agent there. The next agent receives a brief and still inspects the project checkout.
The shared conversation does not synchronize every provider’s internal context window. Claude Code, Codex and OpenCode remain separate agents. Give the next instruction a specific outcome and ask the agent to verify inherited assumptions.
- Read the last decision and the remaining task.
- Check the connected lane, project folder, and branch.
- Ask the next agent to inspect the affected files.
- Confirm what is still true and revise stale assumptions.
- Continue with a bounded instruction and report new verification.
Know what is stored and what is measured
Pairon stores conversation text, instructions and agent replies, with common secret formats scrubbed. File contents, diffs and terminal output are relayed live rather than stored. Avoid putting secrets into prompts; redaction is not a guarantee that every sensitive value will be recognized.
Project memory has been measured in a bounded Codex benchmark. The result does not imply perfect recall, a lower bill for every session, or measured team savings. Use the full methodology when assessing that claim.
Common questions
Is shared context the same as a longer context window?
No. A context window limits what one model call can process. Shared context is the relevant information carried across people, turns and agents. It still needs selection and verification against current code.
Does Pairon store the entire repository as memory?
Pairon’s public data-handling description says that file contents, diffs and terminal output are relayed live rather than stored. Conversation text is stored, and project memory holds verified facts and decisions.
Sources and product details
Written by Pairon from the product behavior described below. Examples illustrate a workflow; they are not customer results.