Memory for coding agents.

01The problem

Every coding agent today has the same bug: it learns your codebase in the morning and forgets it by lunch. You spend the afternoon re-explaining the same architectural constraint, the same naming convention, the same "no, we don't use that pattern here." The agent gets faster at typing and you get tired of teaching.

02What memory unlocks

• Codebase memory persists architectural decisions, conventions, owner-approval requirements, and "we tried that, it didn't work" facts across sessions.
• PR-grounded ingestion — every code review automatically becomes a memory the next session can use.
• Contradiction handling for when the conventions change, with author and timestamp surfaced.
• Per-repo containers with team-level access controls.

03What it looks like

This is the vertical we run ourselves: AgentPrizm's own coding agents use AgentPrizm as their memory layer, connected over the MCP server. Architectural decisions, naming conventions, and "we tried that, it didn't work" facts persist across sessions, so the agent stops re-litigating settled choices and stops suggesting patterns it was already told not to use. Code-review feedback becomes a memory the next session can act on instead of a comment a reviewer has to write twice.

04Illustrative impact

Illustrative targets that model the mechanism above — not results from a named customer. We'll run an eval on your own data.

05Integrations

GitHub, GitLab, Bitbucket, and the major IDEs via MCP. Per-repo container isolation keeps proprietary codebases separate.

Wiring is the same regardless of vertical: ingest and recall over the memory API, or connect any MCP-capable agent with the five-minute quickstart.