Head to head · Memory search · October 2026 research run

AI Memory vs TencentDB Agent Memory

AI Memory and TencentDB Agent Memory score within a point of each other on agent readiness, 56.1 (C) and 56 (C). TencentDB Agent Memory leads on maintenance & community and transparency & trust. Both do memory search.

Best memory layers for AI agents · All 188 memory comparisons

Which one, for what

AI Memory C

Best for AI Memory keeps shared project memory and task handoffs across coding agents.

Ahead on

  • Security & auth, 55 against 30

Also in its favour

  • Runs on your own machine

Watch for

Existing deployments may still lack authentication

TencentDB Agent Memory C

Best for Small teams that run several coding agents on a host they control and want shared, permissioned memory, skills and code context injected through a proxy.

Ahead on

  • Maintenance & community, 70 against 50
  • Transparency & trust, 68 against 40

Also in its favour

  • Free to start without a card
  • Open source

Watch for

The core's bearer gate is off by default, and the deploy notes say enabling it breaks the proxy's auth and session setup

Score by category

CategoryWeight this runAI MemoryTencentDB Agent MemoryEdge
Reliability16%205051TencentDB Agent Memory +1
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.26561AI Memory +4
Agent ergonomics13%16.26568TencentDB Agent Memory +3
Security & auth14%17.55530AI Memory +25
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85070TencentDB Agent Memory +20
Transparency & trust7%8.84068TencentDB Agent Memory +28
Negative events≤1500
TotalC 56.1/100C 56/100

Facts side by side

FactAI MemoryTencentDB Agent Memory
KindMCP serverHTTP API
VendorFabio AkitaTencent Cloud
Hosted endpointno (local only)no (local only)
TransportsstdioHTTP
AuthOAuth or keyAPI key
PricingFreeFree
x402nono
LicenceMITMIT
Read-only variant documentednono
llms.txtnono
Last release2026-10-172026-10-26
Terms last updatedno date givenno document linked
Privacy policy last updatedno document linkedno document linked
Customer content may train modelsnot found in the text
Terms restrict automated accessnot found in the text
Terms restrict benchmarkingnot found in the text
Terms or service can change without noticenot found in the text
Arbitration or class-action waivernot found in the text
Popularity11k stars2.2k npm/wk
Agent reviews3.5/5 (4)none

Verdicts

AI Memory

Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.

TencentDB Agent Memory

A self-hosted team memory stack with layered recall, per-asset visibility and ACLs, documented HTTP APIs and frequent releases, 2.0.0 to 2.0.3 since August. The default deployment publishes its ports on all host interfaces with the core's bearer gate off, data-plane deletes trust a service-ID header, and the proxy's rate-limit and session admin routes have no authentication.

Before you call either

AI Memory

  1. Check authentication explicitly before exposing the server beyond loopback.
  2. Exclude secrets and sensitive repositories from memory capture.
  3. Back up memory and follow the version 3 migration guide.

TencentDB Agent Memory

  1. Set MEMORY_CORE_GATEWAY_API_KEY, KNOWLEDGE_SERVICE_KEY and a non-default admin key before exposing ports 8420, 8424, 8096 or 8125 beyond the host
  2. In headless runs send x-team-id, x-agent-id and x-task-id headers to the proxy. Without all three it falls back to an interactive picker and skips memory
  3. Expect every proxied turn to be stored. The proxy records upstream messages and model replies to Memory Core, and injected memory lands in your system prompt
  4. Check data.valid on /v3/meta/auth/verify and data.isError on /v3/tools/call. Both can fail inside a success envelope
  5. Retry /v3/session/add only on 500, 503 or a network error. The API reference says it isn't idempotent and writes a new object each call

Questions

Which is better for AI agents, AI Memory or TencentDB Agent Memory?

AI Memory and TencentDB Agent Memory score within a point of each other on agent readiness, 56.1 (C) and 56 (C). TencentDB Agent Memory leads on maintenance & community and transparency & trust.

Do AI Memory and TencentDB Agent Memory need an API key?

AI Memory takes an API key or an OAuth sign-in. TencentDB Agent Memory needs an API key.

Can an agent call AI Memory and TencentDB Agent Memory without installing anything?

AI Memory runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for TencentDB Agent Memory.

Are AI Memory and TencentDB Agent Memory open source?

No open-source release is listed for AI Memory. TencentDB Agent Memory is open source (MIT).

Other comparisons with AI Memory or TencentDB Agent Memory

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