Shared memory for AI coding agents

What it changes

• Recall relevant decisions before starting unfamiliar work
• Store the decision and its reasoning when a convention is established
• Share knowledge across teammates without copying prompt files
• Forget superseded memory without presenting it as current

A practical example

A platform team records that organization boundaries must never resolve symbols across one another, together with the confidentiality reason. Months later, an agent considering cross-organization search recalls that constraint before proposing an architecture that would violate it.

Built for trustworthy answers

Every answer carries its own boundaries: what was searched, which revision was used, what was omitted and whether a limit degraded the result. That context is part of the product, because confident ambiguity is worse than an honest next action.

Use it across the organization

SynapCTX exposes this capability over MCP so compatible coding agents can use the same organizational context without separate retrieval stacks or copied instruction files.