Answer Engineansweragent.ai
Menu
Product Product overviewInspectorMCP serverIntegrationsRoadmap
Solutions DevelopersAI teamsAgencies
Compare Compare hubMem0ZepLettaBuild it yourself
Navigate MCPPricingOpen-Source Open Source
Install
FIG. 1 - TEAM MEMORY APPLIED AI TEAMS
Teams 2-20

Shared, isolated memory for every agent your team ships.

Answer Engine gives applied AI teams one memory layer for prototypes, eval agents, and production workflows without merging everyone's context. Start with personal MCP libraries today, keep tenant-isolated source lineage inspectable, and use the same architecture path for org-shared memory once per-doc ACL is ready.

Get Started Free View Docs
Mode now Personal
Mode next Org-shared coming soon
Org-shared memory waits for per-doc ACL. SOC 2 and SSO remain roadmap items on this page.
Available now Personal install path via MCPPer-tenant isolationInspectable source lineageNo training on your dataRight-to-erasure workflow
Shipping next Org-shared memory + per-doc ACL SOC 2 roadmap package SSO roadmap
Fig. 2 build-vs-buy / money section
FIG. 2

Why buy beats build

Agent memory starts as a useful internal helper and becomes shared infrastructure: ingest, permissions, retrieval, deletion, lineage, and every client your team uses. The money argument is to buy the memory layer and spend team time on the agent product.

Blueprint readout cost model
Signal Figure Implication
Internal build $50-75K upfront Designing ingest, retrieval, lineage, deletion paths, MCP surfaces, and admin controls before the first team rollout.
Ongoing maintenance ~15%/quarter Keeping source connectors, model behavior, indexes, permissions, and agent clients aligned after launch.
Team decision pattern 65% buy not build Shared memory is infrastructure. Most teams should reserve their engineering time for the agent product, not the memory substrate.
Use the managed layer when memory is a dependency, not your product.
Fig. 3 available now vs coming soon
FIG. 3

Memory modes

The team page separates personal memory that exists today from org-shared memory that must wait for per-doc ACL. Roadmap controls stay labeled until they are actually available.

Personal Available now

Personal memory

Each builder can install the MCP server, connect a personal library, and inspect what the agent recalled without waiting for a platform rollout.

  • Personal MCP library
  • Tenant-isolated sources
  • Inspectable lineage and erasure controls
Org-shared Coming soon

Org-shared memory

Roadmap only. Org-shared memory stays gated until per-doc ACL exists, because shared memory with coarse access controls is the wrong product shape.

  • Shared team library after per-doc ACL
  • SOC 2 evidence package on the roadmap
  • SSO on the roadmap
Fig. 4 security strip / route to detail
FIG. 4

Isolation and trust

Team memory is sensitive infrastructure. Keep the available controls explicit, route deeper review to security, and do not blur roadmap work into available-now claims.

tenant isolation no training on your data right-to-erasure
FIG. 5 - START

Start with personal memory. Keep the shared path honest.

Give each builder an inspectable MCP memory layer today, then evaluate org-shared memory only when per-doc ACL is ready.

Get Started Free Read Security
Team size: applied AI teams 2-20
Now: personal MCP memory
Next: org-shared memory after per-doc ACL