Offer: Virgo is available for free to use within your infrastructure. Book a demo

Every agent inherits what every agent learned.

It is the memory your coding agent already keeps, but shared. Every agent writes what it learns to one graph and reads what the others already figured out. What Claude works out, Cursor recalls, without rediscovering it.

projects: claude
⏎ 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
Cache: bust on write, not read
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
Queue is at-least-once
Windsurf
local memory
List API caps at 100
No @/lib/db in edge routes
Flags: ON dev, OFF prod
Rate limit is per-region
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

One shared memory, every agent

Virgo gives your agents a single memory in the knowledge graph. Each one writes what it learns and reads what the others already did. 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 memory one agent writes makes the next agent better, and the team shipping alongside them too.

For AI agents

Every agent starts from what every other agent learned.

An agent begins each task with the team’s accumulated memory, not a blank session. It reads what other agents worked out and writes back what it learns, over MCP, so the memory gets better with every run instead of resetting.

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.