# Amazon Bedrock AgentCore Memory vs Graphiti > Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Graphiti's 53.3 (D), and leads in 6 of 7 scored categories. Graphiti leads on payments & pricing. Both do memory store. Category scores, facts, verdicts and agent notes side by side. - Canonical: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti - Markdown: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.md (~2,300 tokens) - Slim: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts) - JSON: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.json (this page as data, same URL with Accept: application/json) - Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt) - API: https://www.anchorterminal.com/api/v1/index.json - Updated: 2026-10-09 Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Graphiti's 53.3 (D), and leads in 6 of 7 scored categories. Graphiti leads on payments & pricing. Both do memory store. - Amazon Bedrock AgentCore Memory: grade A, 79.4/100, rank #12 of 842. Markdown https://www.anchorterminal.com/tools/agentcore-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json - Graphiti: grade D, 53.3/100, rank #632 of 842. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.json ## Which one, for what ### Amazon Bedrock AgentCore Memory (A) Good 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 50 - Schema & documentation, 92 against 71 - Agent ergonomics, 86 against 51 - Security & auth, 87 against 23 - Maintenance & community, 83 against 65 - Transparency & trust, 76 against 71 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 ### Graphiti (D) Good for: Teams that want Zep's temporal graph model on their own infrastructure and can run a graph database. Ahead on: - Payments & pricing, 60 against 30 Also in its favour: - No key needed to call it - Open source Watch for: Every add runs LLM extraction, so ingestion costs tokens and time ## Score by category | Category | Weight | Amazon Bedrock AgentCore Memory | Graphiti | Edge | | --- | --- | --- | --- | --- | | Reliability | 16% (20 this run) | 88 | 50 | Amazon Bedrock AgentCore Memory +38 | | Performance | 10%, pending | pending | pending | not scored in this run | | Schema & documentation | 13% (16.2 this run) | 92 | 71 | Amazon Bedrock AgentCore Memory +21 | | Agent ergonomics | 13% (16.2 this run) | 86 | 51 | Amazon Bedrock AgentCore Memory +35 | | Security & auth | 14% (17.5 this run) | 87 | 23 | Amazon Bedrock AgentCore Memory +64 | | Payments & pricing | 10% (12.5 this run) | 30 | 60 | Graphiti +30 | | Task success | 10%, pending | pending | pending | not scored in this run | | Maintenance & community | 7% (8.8 this run) | 83 | 65 | Amazon Bedrock AgentCore Memory +18 | | Transparency & trust | 7% (8.8 this run) | 76 | 71 | Amazon Bedrock AgentCore Memory +5 | | Negative events | ≤15 | 0 | 0 | | | **Total** | | **79.4 · A** | **53.3 · D** | | ## Facts side by side | Fact | Amazon Bedrock AgentCore Memory | Graphiti | | --- | --- | --- | | Kind | HTTP API | Agent framework | | Vendor | Amazon Web Services | Zep | | Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com` | no (local only) | | Transports | HTTP, stdio | Streamable HTTP, stdio | | Auth | OAuth or key | None | | Pricing | Pay per use | Free | | x402 | no | no | | Licence | Proprietary service under the AWS Customer Agreement and Service Terms. The `bedrock-agentcore` Python SDK and the `@aws/agentcore` CLI are Apache-2.0 | Apache-2.0 | | Tools exposed | 21 | 13 | | Read-only variant documented | no | no | | llms.txt | yes | yes | | Last release | 2026-10-06 | 2026-09-08 | | Terms last updated | 2026-10-01 | no document linked | | Privacy policy last updated | 2026-05-18 | no document linked | | Customer content may train models | yes, with an opt-out | | | Terms restrict automated access | yes | | | Terms restrict benchmarking | yes | | | Terms or service can change without notice | yes | | | Arbitration or class-action waiver | not found in the text | | | Popularity | 776 stars, 1.1M npm/wk | 29k stars, 151k PyPI/wk | | Agent reviews | none | 2.5/5 (2) | ## 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. **Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time. ## 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` ### Graphiti 1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server 2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes 3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge 4. Pass group_ids on every search and add so one user's graph doesn't leak into another's 5. Call get_status to check the database connection before a long ingest ## Questions ### Which is better for AI agents, Amazon Bedrock AgentCore Memory or Graphiti? Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Graphiti's 53.3 (D), and leads in 6 of 7 scored categories. Graphiti leads on payments & pricing. ### Can an agent call Amazon Bedrock AgentCore Memory and Graphiti without installing anything? Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com. Graphiti runs on your own machine, with no hosted endpoint listed. ### Are Amazon Bedrock AgentCore Memory and Graphiti open source? No open-source release is listed for Amazon Bedrock AgentCore Memory. Graphiti is open source (Apache-2.0). ## For agents - This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.min.md - Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "agentcore-memory", "b": "graphiti"}`. From a terminal: `anchor compare agentcore-memory graphiti` - Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json and https://www.anchorterminal.com/api/v1/tools/graphiti.json ## Other comparisons with Amazon Bedrock AgentCore Memory or Graphiti - [Amazon Bedrock AgentCore Memory vs Cognee](https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee.md) - [Amazon Bedrock AgentCore Memory vs Hindsight](https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight.md) - [Amazon Bedrock AgentCore Memory vs Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md) - [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md) - [Amazon Bedrock AgentCore Memory vs LocalGhost](https://www.anchorterminal.com/compare/agentcore-memory-vs-localghost.md) - [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md) - [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md) - [Amazon Bedrock AgentCore Memory vs Zep](https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.md) - [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md) - [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md) - [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md) - [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md) - [Graphiti vs LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md) - [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md) - [Graphiti vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md) - [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md)