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Every agent inherits what every agent learned.

Virgo gives coding agents one shared reasoning graph. Every agent writes what it learns to the graph and reads what the others already figured out. What Claude works out, Cursor recalls.

projects: cursor
⏎ send · esc to interrupt

Every agent remembers alone

Each coding agent keeps its own local memory, scoped to one project and one tool. What Claude figures out, Cursor never sees. So the same problem gets solved again in the next session, by the next agent.

Claude
local memory
created_at is Pacific time
Projects are soft-deleted
Money is integer cents, never floats
Legacy IDs have leading zeros
Bulk insert caps at 1000 rows
Cursor
local memory
NOT NULL locks the table
Debounce search input 300ms
Webhooks can arrive early
Projects are soft-deleted
Prompt templates live in prompts/
Windsurf
local memory
List API caps at 100
No @/lib/db in edge routes
Flags: ON dev, OFF prod
Model IDs are pinned, never 'latest'
Enums are ints, don't reorder
Codex
local memory
Vendor spells it CANCELLED
Search reindex takes ~40 min
Projects are soft-deleted
CSV export is Latin-1
Cron runs in UTC, not local

Every agent shares one memory.

One graph sits behind every agent. Each one writes what it learns and reads what the others already found; a fix Claude works out is waiting for Cursor on the next task, tagged with who learned it.

The memory compounds with every agent

Every learning one agent writes gives the next agent and the team reusable context.

For AI agents

Each agent starts where the last one left off.

An agent begins each task with the team’s accumulated reasoning context. It reads what other agents worked out and writes back what it learns over MCP. The shared graph gains context with every run.

3xfewer iterations

Roughly 3x fewer iterations in code generation when the relevant memory is on hand instead of rediscovered.

For engineers

Your team stops re-solving the same problem.

The lesson one engineer’s agent learns is there for the next engineer’s agent, on a different tool, on a different day. The team’s hard-won details compound in one place instead of scattering across sessions no one can see.

  • Written once: the fix, kept the first time.
  • Read by all: every agent and teammate, on demand.
  • With provenance: which agent learned it, and when.