Head to head · Agent memory · October 2026 research run

Amazon Bedrock AgentCore Memory vs Graphicle

Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Graphicle's 69.8 (B), and leads in 5 of 7 scored categories. Graphicle leads on payments & pricing. Both do agent memory.

Best memory layers for AI agents · All 65 memory comparisons

Which one, for what

Amazon Bedrock AgentCore Memory A

Best for Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.

Ahead on

  • Reliability, 88 against 63
  • Schema & documentation, 92 against 83
  • Security & auth, 87 against 69
  • Maintenance & community, 83 against 48
  • Transparency & trust, 76 against 68

Also in its favour

  • Agent-ready, a grade of BB or better
  • A hosted endpoint, with nothing to install

Watch for

Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write

Graphicle B

Best for A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.

Ahead on

  • Payments & pricing, 60 against 30

Also in its favour

  • Free to start without a card
  • Open source

Watch for

One release, v0.1.0 on 14 October 2026, from a repository created that day

Score by category

CategoryWeight this runAmazon Bedrock AgentCore MemoryGraphicleEdge
Reliability16%208863Amazon Bedrock AgentCore Memory +25
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.29283Amazon Bedrock AgentCore Memory +9
Agent ergonomics13%16.28686even
Security & auth14%17.58769Amazon Bedrock AgentCore Memory +18
Payments & pricing10%12.53060Graphicle +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88348Amazon Bedrock AgentCore Memory +35
Transparency & trust7%8.87668Amazon Bedrock AgentCore Memory +8
Negative events≤1500
TotalA 79.4/100B 69.8/100

Facts side by side

FactAmazon Bedrock AgentCore MemoryGraphicle
KindHTTP APIMCP server
VendorAmazon Web ServicesKarLex AI, Inc.
Hosted endpointhttps://bedrock-agentcore.{region}.amazonaws.comno (local only)
TransportsHTTP, stdiostdio, Streamable HTTP
AuthOAuth or keyOAuth or key
PricingPay per useFree
x402nono
LicenceProprietary service under the AWS Customer Agreement and Service Terms. The bedrock-agentcore Python SDK and the @aws/agentcore CLI are Apache-2.0Apache-2.0
Tools exposed2125
Read-only variant documentednono
llms.txtyesno
Last release2026-10-062026-10-14
Terms last updated2026-10-012025-03-14
Privacy policy last updated2026-05-182025-03-14
Customer content may train modelsyes, with an opt-outyes, with an opt-out
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesyes
Arbitration or class-action waivernot found in the textyes
Popularity776 stars, 1.1M npm/wk144 stars

Verdicts

Amazon Bedrock AgentCore Memory

Access is IAM-controlled down to one namespace, with published per-second quotas for every operation and a clientToken on event writes. Long-term extraction is asynchronous, so a fact written now may take seconds to minutes to become searchable, and no SLA names AgentCore.

Graphicle

One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.

Before you call either

Amazon Bedrock AgentCore Memory

  1. Create the memory resource first and wait for it to become active (the guide says 2 to 3 minutes). Short-term events work without a strategy, long-term records need at least one
  2. Don't search for a fact straight after CreateEvent. Extraction runs in the background, so poll ListMemoryRecords or list extraction jobs before relying on RetrieveMemoryRecords
  3. Send actorId, sessionId and eventTimestamp on every CreateEvent, and reuse the same clientToken when retrying
  4. Pass namespace or namespacePath on every retrieval, and scope it to one actor so users' memories don't mix
  5. Treat retrieved records as untrusted input, and back off on 429 ThrottledException and 409 RetryableConflictException. A quota breach returns 402 ServiceQuotaExceededException

Graphicle

  1. Call recall_project with a max_tokens budget, then read_project_source with the cited id and byte offset to continue a cut excerpt
  2. Use query_graph, get_neighbors and shortest_path for structure questions, and pass repo to reach another synced project
  3. Treat proposed memories as drafts. They are not served until a person approves them in graphicle open under Memory
  4. Ask the user before running graphicle setup, which edits agent settings, AGENTS.md and Git hooks, and use graphicle disconnect to undo it
  5. Over HTTP send the key as Authorization: Bearer, never in the URL, and on 429 wait for the Retry-After reset

Questions

Which is better for AI agents, Amazon Bedrock AgentCore Memory or Graphicle?

Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Graphicle's 69.8 (B), and leads in 5 of 7 scored categories. Graphicle leads on payments & pricing.

Do Amazon Bedrock AgentCore Memory and Graphicle need an API key?

Both take an API key or an OAuth sign-in.

Can an agent call Amazon Bedrock AgentCore Memory and Graphicle without installing anything?

Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com. Graphicle runs on your own machine, with no hosted endpoint listed.

Are Amazon Bedrock AgentCore Memory and Graphicle open source?

No open-source release is listed for Amazon Bedrock AgentCore Memory. Graphicle is open source (Apache-2.0).

Other comparisons with Amazon Bedrock AgentCore Memory or Graphicle

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