{ "data": { "a": { "slug": "agentcore-memory", "name": "Amazon Bedrock AgentCore Memory", "vendor": "Amazon Web Services", "vendorUrl": "https://aws.amazon.com/bedrock/agentcore/", "kind": "http-api", "category": "agent-memory", "summary": "Managed memory service for AI agents on AWS. It stores conversation events as short-term memory and extracts facts, preferences, summaries and episodes into searchable long-term records, through the AWS API, SDKs and an MCP server.", "url": "https://www.anchorterminal.com/tools/agentcore-memory", "markdownUrl": "https://www.anchorterminal.com/tools/agentcore-memory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/agentcore-memory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json", "repo": "https://github.com/aws/bedrock-agentcore-sdk-python", "license": "Proprietary service under the AWS Customer Agreement and Service Terms. The `bedrock-agentcore` Python SDK and the `@aws/agentcore` CLI are Apache-2.0", "transports": [ "http", "stdio" ], "remoteUrl": "https://bedrock-agentcore.{region}.amazonaws.com", "packages": [ { "registry": "pypi", "name": "bedrock-agentcore" }, { "registry": "pypi", "name": "boto3" }, { "registry": "npm", "name": "@aws-sdk/client-bedrock-agentcore" }, { "registry": "npm", "name": "@aws/agentcore" }, { "registry": "pypi", "name": "awslabs.amazon-bedrock-agentcore-mcp-server" } ], "auth": "mixed", "authNotes": "AWS Signature Version 4 with IAM access keys or a role, and a policy that allows actions such as `bedrock-agentcore:CreateEvent` and `bedrock-agentcore:RetrieveMemoryRecords` on the memory resource. The data plane accepts SigV4 only. Resource-based policies and the condition keys `bedrock-agentcore:namespace` and `bedrock-agentcore:namespacePath` narrow access further. For end users, an AgentCore Gateway with the `agentcore-memory` connector accepts OAuth (JWT) tokens and applies Cedar policies. Access is self-serve once a person has created an AWS account.", "pricing": "usage", "pricingNotes": "Usage-priced with no minimum fee. Short-term memory, as of 6 October 2026, is $1.00 per GB ingested, $0.20 per GB retrieved and $0.10 per GB-month stored, with each event billed as at least 12 KB and at most 64 KB on ingestion and retrieval. Long-term memory is $0.75 per 1,000 records a month with built-in strategies, $0.25 with overrides or self-managed strategies (model usage is then billed in the customer's account), and $0.50 per 1,000 retrievals. No Memory-specific free tier or sandbox. New AWS accounts get up to $200 in Free Tier credits, and AWS says most new customers can sign up without a payment method (https://aws.amazon.com/bedrock/agentcore/pricing/, https://aws.amazon.com/free/free-tier-faqs/).", "priceSummary": "$1 / GB", "where": "both", "x402": { "level": "no", "evidence": "No x402, MPP or L402 on the Memory endpoints in the developer guide, the API reference or the pricing page (checked 2026-10-08). AgentCore payments is a separate AgentCore feature for an agent's own outbound payments.", "endpoints": [] }, "toolCount": 21, "popularity": { "githubStars": 776, "npmWeekly": 1070970, "pypiWeekly": null, "asOf": "2026-10-08" }, "docsUrl": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/memory.html", "llmsTxt": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/llms.txt", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "hosted", "usage-priced", "closed-source", "python", "typescript", "enterprise", "llms-txt", "free-credits", "mcp", "stdio", "namespaces", "idempotency", "soc2", "status-page" ], "lastRelease": "2026-10-06", "graded": true, "anchor": { "graded": true, "score": 79.4, "grade": "A", "agentReady": true, "rank": 12, "ranked": true, "rankOf": 842, "categoryRank": 1, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 86, "maintenance": 83, "payments": 30, "reliability": 88, "schema": 92, "security": 87, "transparency": 76 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-08" }, "negative": 0, "verdict": "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.", "bestFor": "Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.", "strengths": [ "IAM permissions per operation, resource-based policies and namespace condition keys, with OAuth sign-in and deny-by-default Cedar policies available through AgentCore Gateway", "Per-second quotas published for every Memory operation, such as 200 `CreateEvent` and 30 `RetrieveMemoryRecords` requests a second per account and Region", "`CreateEvent` takes a `clientToken`, so a retried write is ignored instead of stored twice", "Four built-in extraction strategies (semantic, user preference, summarisation, episodic), plus overrides and self-managed pipelines", "Unit prices are public, and events expire on a set time to live of 7 to 365 days" ], "weaknesses": [ "Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write", "No SLA names AgentCore. The Bedrock SLA of 4 October 2023 covers the Bedrock APIs for models", "Built-in strategies use cross-Region inference, so event text can be processed in another Region of the same geography", "Short-term memory billing moved from per event to per GB on 6 October 2026, with each event billed as at least 12 KB", "No Memory-specific CloudTrail page was found in the developer guide, and an AWS account needs a person to create it" ], "agentNotes": [ "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", "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`", "Send `actorId`, `sessionId` and `eventTimestamp` on every `CreateEvent`, and reuse the same `clientToken` when retrying", "Pass `namespace` or `namespacePath` on every retrieval, and scope it to one actor so users' memories don't mix", "Treat retrieved records as untrusted input, and back off on 429 `ThrottledException` and 409 `RetryableConflictException`. A quota breach returns 402 `ServiceQuotaExceededException`" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "A", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 79.4 } ], "editorialScores": { "ergonomics": 86, "maintenance": 83, "payments": 30, "reliability": 88, "schema": 92, "security": 87, "transparency": 64 }, "provenanceScore": 88 }, "connect": { "install": "pip install bedrock-agentcore # AgentCore CLI: npm install -g @aws/agentcore", "http": "curl -X POST \"https://bedrock-agentcore.us-east-1.amazonaws.com/memories/$AGENTCORE_MEMORY_ID/retrieve\" \\\n --aws-sigv4 \"aws:amz:us-east-1:bedrock-agentcore\" --user \"$AWS_ACCESS_KEY_ID:$AWS_SECRET_ACCESS_KEY\" \\\n -H \"content-type: application/json\" \\\n -d '{\"namespace\":\"/users/alex/facts\",\"searchCriteria\":{\"searchQuery\":\"dietary preferences\",\"topK\":3}}'", "config": { "mcpServers": { "bedrock-agentcore-mcp-server": { "args": [ "awslabs.amazon-bedrock-agentcore-mcp-server@latest" ], "command": "uvx", "env": { "AGENTCORE_ENABLE_TOOLS": "memory", "FASTMCP_LOG_LEVEL": "ERROR" } } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/agentcore-memory" }, "sameCompany": [ "amazon-nova-embeddings", "amazon-bedrock-guardrails", "amazon-transcribe", "amazon-polly", "agentcore-identity", "aws-secrets-manager", "aws-mcp-servers", "amazon-ses", "amazon-location", "amazon-translate", "amazon-ads-api" ], "area": "agent-runtime", "unitPrices": [ { "item": "Short-term memory ingestion", "unit": "gb", "usd": 1, "note": "Per GB of event data ingested, each event billed as 12 KB to 64 KB. As of 6 October 2026" }, { "item": "Short-term memory retrieval", "unit": "gb", "usd": 0.2, "note": "Per GB of event data retrieved, same 12 KB minimum per event" }, { "item": "Short-term memory storage", "unit": "gb-month", "usd": 0.1, "note": "Prorated hourly over each event's time to live" }, { "item": "Long-term memory storage, built-in strategies", "unit": "record", "usd": 0.00075, "note": "$0.75 per 1,000 records a month" }, { "item": "Long-term memory storage, overrides or self-managed", "unit": "record", "usd": 0.00025, "note": "$0.25 per 1,000 records a month, model usage billed separately" }, { "item": "Long-term memory retrieval", "unit": "1k-requests", "usd": 0.5, "note": "Per 1,000 retrieve requests" } ], "provenance": { "legalEntity": "Amazon Web Services, Inc. (regional AWS entities by account location)", "domain": "amazon.com", "domainRegistered": "1994-11-01", "domainNote": "The service pages are under aws.amazon.com and the endpoints on amazonaws.com, an AWS domain. The registration date is the one on our other AWS listings and was not looked up again on 8 October 2026.", "endpointOnVendorDomain": true, "terms": "https://aws.amazon.com/service-terms/", "privacy": "https://aws.amazon.com/privacy/", "statusPage": "https://health.aws.amazon.com/health/status", "changelog": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/release-notes.html", "securityTxt": "expired", "checked": "2026-10-08", "notes": [ "The AWS Service Terms show Last Updated 1 October 2026. Section 50 covers AWS AI services, and its only AgentCore-specific clause is 50.15 on AgentCore Payments. Section 50.3, which lets AWS use content from named AI services for improvement, does not list Bedrock or AgentCore.", "The AWS Privacy Notice shows Last Updated 18 May 2026.", "aws.amazon.com/.well-known/security.txt carries Expires 2026-09-24T16:25:03.000Z, so it was expired on 8 October 2026. It points to the vulnerability disclosure programme on HackerOne and the policy at vdp.aws.security.", "health.aws.amazon.com/health/status is drawn by script. The Bedrock AgentCore feed for us-east-1 had no items on 8 October 2026, and the dashboard's history file lists one event naming Bedrock AgentCore in the last 90 days, packet loss in one zone of eu-south-2 on 4 October 2026, a Region where Memory is not sold.", "aws.amazon.com/bedrock/agentcore/sla/ returns 404 and the AWS SLA index does not name AgentCore." ], "score": 88 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/agentcore-memory.json", "live": { "slug": "agentcore-memory", "probe": { "target": "https://bedrock-agentcore.{region}.amazonaws.com", "method": "get", "lastAt": "2026-10-09T09:26:41.531678091Z", "lastOk": false, "lastStatus": 0, "lastMs": 0, "lastNote": "invalid character \"{\" in host name", "authRequired": false, "uptime24h": 0, "uptime30d": 0, "p50ms24h": 0, "p95ms24h": 0, "samples24h": 20, "samples30d": 20, "days": [ { "date": "2026-10-09", "probes": 20, "ok": 0 } ], "outages": [ { "start": "2026-10-09T07:40:18.334133541Z", "end": "0001-01-01T00:00:00Z", "note": "invalid character \"{\" in host name" } ] }, "updatedAt": "2026-10-09T09:26:41.531678091Z" } }, "answer": "Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories.", "b": { "slug": "zep", "name": "Zep", "vendor": "Zep", "vendorUrl": "https://www.getzep.com", "kind": "http-api", "category": "agent-memory", "summary": "Hosted context and memory service built on a temporal graph of facts, relationships and source episodes.", "url": "https://www.anchorterminal.com/tools/zep", "markdownUrl": "https://www.anchorterminal.com/tools/zep.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/zep.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/zep.json", "repo": "https://github.com/getzep/zep", "license": "Apache-2.0 (examples repo). The service is closed-source", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.getzep.com/api/v2", "packages": [ { "registry": "pypi", "name": "zep-cloud" }, { "registry": "npm", "name": "@getzep/zep-cloud" } ], "auth": "mixed", "authNotes": "Project API key in the `Authorization: Api-Key \u003ckey\u003e` header. Keys can carry ABAC policies that limit what each agent reaches. The Memory MCP server at api.getzep.com/mcp uses OAuth 2.1 with PKCE and signs users in through their organisation's identity provider, so it suits people on a team more than headless agents.", "pricing": "freemium", "pricingNotes": "Free has 10,000 credits a month with no rollover, 2 projects, 1 MCP seat, and variable rate limits. The pricing page doesn't say whether a card is needed. Flex is $125 a month for 50,000 credits, then $25 per 10,000, at 600 requests a minute, with 30-day rollover and auto top-up. Flex Plus is $375 a month for 200,000 credits, then $75 per 40,000, at 1,000 requests a minute, with 60-day rollover. Enterprise is negotiated and adds guaranteed rate limits with an SLA, a HIPAA BAA, BYOK and BYOC. An episode (a chat message, JSON payload or block of text) costs 1 credit for up to 350 bytes and 1 more for each further 350 bytes or part. Storage, retrieval and users aren't metered, and each webhook call costs an eighth of a credit (https://www.getzep.com/pricing/).", "priceSummary": "$125 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 12, "popularity": { "githubStars": 4900, "npmWeekly": 129945, "pypiWeekly": 86681, "asOf": "2026-09-30" }, "docsUrl": "https://help.getzep.com", "llmsTxt": "https://help.getzep.com/llms.txt", "openapi": "https://help.getzep.com/v3/openapi.json", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "no-card", "mcp", "oauth", "llms-txt", "python", "typescript", "closed-source", "enterprise" ], "lastRelease": "2026-09-24", "graded": true, "anchor": { "graded": true, "score": 69.3, "grade": "B", "agentReady": false, "rank": 181, "ranked": true, "rankOf": 842, "categoryRank": 2, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 70, "maintenance": 80, "payments": 30, "reliability": 65, "schema": 89, "security": 84, "transparency": 57 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "high", "date": "2026-10-01" }, "negative": 0, "verdict": "Facts that new data invalidates keep the time they stopped being true. The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data.", "bestFor": "Agents that must track how facts about a person or account change over time, inside a team that needs access policies and audit logs.", "strengths": [ "Facts that new data invalidates keep the time they stopped being true", "API keys can carry ABAC policies, and audit and API logs record what each key did", "Published rate limits (600 a minute on Flex, 1,000 on Flex Plus) with 429, Retry-After and X-RateLimit headers", "A memory-security guide that treats every context block as untrusted data", "SDKs for Python, TypeScript and Go, OpenAPI for v3 and llms.txt" ], "weaknesses": [ "The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data", "First paid plan is $125 a month, and credits grow with episode size", "The MCP server needs OAuth through a company identity provider, so a headless agent can't use it", "Four status incidents between 27 August and 15 September 2026", "No security.txt, no subprocessor list and no entry in the MCP registry" ], "agentNotes": [ "Create the user and a thread before adding messages, as the quickstart does", "Set `return_context` when adding messages to skip a second round trip", "Keep episodes short. Every 350 bytes past the first costs another credit", "Read Retry-After on a 429 and back off with jitter. Free accounts over quota drop to 5 requests a minute", "Expect a delay after a graph add (202 Accepted) before new facts show up in search" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 4, "history": [ { "basis": "public evidence", "confidence": "high", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.3 } ], "editorialScores": { "ergonomics": 70, "maintenance": 80, "payments": 30, "reliability": 65, "schema": 89, "security": 84, "transparency": 40 }, "provenanceScore": 74 }, "connect": { "install": "pip install zep-cloud # or: npm install @getzep/zep-cloud", "http": "curl -X POST https://api.getzep.com/api/v2/graph -H \"Authorization: Api-Key $ZEP_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"user_id\":\"user-123\",\"type\":\"text\",\"data\":\"Alex moved to Leeds in March and prefers aisle seats.\"}'", "claudeCode": "claude mcp add --transport http zep https://api.getzep.com/mcp", "config": { "mcpServers": { "zep": { "type": "http", "url": "https://api.getzep.com/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/zep" }, "sameCompany": [ "graphiti" ], "area": "agent-runtime", "unitPrices": [ { "item": "Flex plan", "unit": "month", "usd": 125, "note": "50,000 credits, 600 requests a minute" }, { "item": "Flex Plus plan", "unit": "month", "usd": 375, "note": "200,000 credits, 1,000 requests a minute" }, { "item": "Overage on Flex", "unit": "credit", "usd": 0.0025, "note": "$25 per 10,000 credits" }, { "item": "Overage on Flex Plus", "unit": "credit", "usd": 0.001875, "note": "$75 per 40,000 credits" } ], "provenance": { "legalEntity": "Zep Software, Inc.", "domain": "getzep.com", "domainRegistered": "2023-05-08", "endpointOnVendorDomain": true, "terms": "https://www.getzep.com/legal/terms/", "privacy": "https://www.getzep.com/legal/privacy/", "statusPage": "https://status.getzep.com", "changelog": "https://help.getzep.com/changelog", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The terms, updated 17 August 2026, name Zep Software, Inc., a Delaware corporation, and are governed by California law.", "www.getzep.com/.well-known/security.txt returns 404." ], "score": 74 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/zep.json", "live": { "slug": "zep", "probe": { "target": "https://api.getzep.com/api/v2", "method": "get", "lastAt": "2026-10-09T09:27:11.441023446Z", "lastOk": true, "lastStatus": 401, "lastMs": 247, "lastNote": "asks for credentials", "authRequired": true, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 210, "p95ms24h": 526, "samples24h": 261, "samples30d": 2085, "days": [ { "date": "2026-10-01", "probes": 109, "ok": 109 }, { "date": "2026-10-02", "probes": 248, "ok": 248 }, { "date": "2026-10-03", "probes": 271, "ok": 271 }, { "date": "2026-10-04", "probes": 272, "ok": 272 }, { "date": "2026-10-05", "probes": 272, "ok": 272 }, { "date": "2026-10-06", "probes": 272, "ok": 272 }, { "date": "2026-10-07", "probes": 272, "ok": 272 }, { "date": "2026-10-08", "probes": 268, "ok": 268 }, { "date": "2026-10-09", "probes": 101, "ok": 101 } ] }, "vendorStatus": { "page": "https://status.getzep.com", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-09T09:25:39.91013526Z" }, "versions": [ { "registry": "github", "name": "getzep/zep", "version": "zep-ingest-v0.3.0", "released": "2026-08-28", "seenAt": "2026-10-08T16:35:49.722822958Z" }, { "registry": "npm", "name": "@getzep/zep-cloud", "version": "3.30.0", "seenAt": "2026-10-08T16:35:48.920193842Z" }, { "registry": "pypi", "name": "zep-cloud", "version": "3.30.0", "released": "2026-09-24", "seenAt": "2026-10-08T16:35:46.877888436Z" } ], "githubStars": 4952, "npmWeekly": 150007, "pypiWeekly": 68846, "securityTxt": { "url": "https://getzep.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-08T15:38:46.378005865Z" }, "llmsTxt": { "url": "https://help.getzep.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-08T14:01:02.323200481Z" }, "domain": { "domain": "getzep.com", "registered": "2023-05-08", "source": "https://rdap.verisign.com/com/v1/domain/getzep.com", "checkedAt": "2026-10-04T13:03:48.930668589Z" }, "pages": [ { "url": "https://help.getzep.com/changelog", "kind": "changelog", "status": 200, "checkedAt": "2026-10-08T18:20:49.459602433Z", "changedAt": "2026-10-08T18:20:49.459602433Z", "fingerprint": "f12699e3d0bc" }, { "url": "https://www.getzep.com/legal/privacy/", "kind": "privacy", "status": 200, "checkedAt": "2026-10-08T18:27:58.358717053Z", "changedAt": "2026-10-03T15:38:21.106411993Z", "fingerprint": "b49841156a51" }, { "url": "https://www.getzep.com/legal/terms/", "kind": "terms", "status": 200, "checkedAt": "2026-10-08T18:28:00.563640954Z", "changedAt": "2026-10-03T15:38:23.230842634Z", "fingerprint": "955360e78c6a" } ], "updatedAt": "2026-10-09T09:27:11.441023446Z" } }, "facts": [ { "a": "HTTP API", "b": "HTTP API", "name": "Kind" }, { "a": "Amazon Web Services", "b": "Zep", "name": "Vendor" }, { "a": "https://bedrock-agentcore.{region}.amazonaws.com", "b": "https://api.getzep.com/api/v2", "name": "Hosted endpoint" }, { "a": "HTTP, stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Pay per use", "b": "Freemium", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Proprietary service under the AWS Customer Agreement and Service Terms. The `bedrock-agentcore` Python SDK and the `@aws/agentcore` CLI are Apache-2.0", "b": "Apache-2.0 (examples repo). The service is closed-source", "name": "Licence" }, { "a": "21", "b": "12", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "yes", "b": "yes", "name": "llms.txt" }, { "a": "2026-10-06", "b": "2026-09-24", "name": "Last release" }, { "a": "2026-10-01", "b": "2026-08-17", "name": "Terms last updated" }, { "a": "2026-05-18", "b": "2024-01-27", "name": "Privacy policy last updated" }, { "a": "yes, with an opt-out", "b": "yes", "name": "Customer content may train models" }, { "a": "yes", "b": "yes", "name": "Terms restrict automated access" }, { "a": "yes", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "yes", "b": "not found in the text", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "776 stars, 1.1M npm/wk", "b": "4.9k stars, 130k npm/wk, 87k PyPI/wk", "name": "Popularity" }, { "a": "none", "b": "4/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories.", "question": "Which is better for AI agents, Amazon Bedrock AgentCore Memory or Zep?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do Amazon Bedrock AgentCore Memory and Zep need an API key?" }, { "answer": "Yes. Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com and Zep at https://api.getzep.com/api/v2.", "question": "Can an agent call Amazon Bedrock AgentCore Memory and Zep without installing anything?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 88 against 65", "Agent ergonomics, 86 against 70", "Transparency \u0026 trust, 76 against 57" ], "also": [ "Agent-ready, a grade of BB or better", "Runs on your own machine" ], "goodFor": "Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.", "slug": "agentcore-memory", "watchFor": "Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write" }, { "aheadOn": null, "also": [ "Free to start without a card" ], "goodFor": "Agents that must track how facts about a person or account change over time, inside a team that needs access policies and audit logs.", "slug": "zep", "watchFor": "The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data" } ], "job": { "capability": "memory.store", "name": "Memory store" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee.json", "title": "Amazon Bedrock AgentCore Memory vs Cognee", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.json", "title": "Amazon Bedrock AgentCore Memory vs Graphiti", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight.json", "title": "Amazon Bedrock AgentCore Memory vs Hindsight", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.json", "title": "Amazon Bedrock AgentCore Memory vs Honcho", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.json", "title": "Amazon Bedrock AgentCore Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-localghost.json", "title": "Amazon Bedrock AgentCore Memory vs LocalGhost", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.json", "title": "Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.json", "title": "Amazon Bedrock AgentCore Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-zep.json", "title": "Cognee vs Zep", "url": "https://www.anchorterminal.com/compare/cognee-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-zep.json", "title": "Graphiti vs Zep", "url": "https://www.anchorterminal.com/compare/graphiti-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-zep.json", "title": "Hindsight vs Zep", "url": "https://www.anchorterminal.com/compare/hindsight-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/honcho-vs-zep.json", "title": "Honcho vs Zep", "url": "https://www.anchorterminal.com/compare/honcho-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/langmem-vs-zep.json", "title": "LangMem vs Zep", "url": "https://www.anchorterminal.com/compare/langmem-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/localghost-vs-zep.json", "title": "LocalGhost vs Zep", "url": "https://www.anchorterminal.com/compare/localghost-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/mem0-vs-zep.json", "title": "Mem0 Platform + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/mem0-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/supermemory-vs-zep.json", "title": "Supermemory API + MCP vs Zep", "url": "https://www.anchorterminal.com/compare/supermemory-vs-zep" } ], "scores": [ { "agentcore-memory": 88, "by": 23, "edge": "agentcore-memory", "key": "reliability", "name": "Reliability", "weight": 16, "zep": 65 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "agentcore-memory": 92, "by": 3, "edge": "agentcore-memory", "key": "schema", "name": "Schema \u0026 documentation", "weight": 13, "zep": 89 }, { "agentcore-memory": 86, "by": 16, "edge": "agentcore-memory", "key": "ergonomics", "name": "Agent ergonomics", "weight": 13, "zep": 70 }, { "agentcore-memory": 87, "by": 3, "edge": "agentcore-memory", "key": "security", "name": "Security \u0026 auth", "weight": 14, "zep": 84 }, { "agentcore-memory": 30, "by": 0, "edge": "", "key": "payments", "name": "Payments \u0026 pricing", "weight": 10, "zep": 30 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "agentcore-memory": 83, "by": 3, "edge": "agentcore-memory", "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7, "zep": 80 }, { "agentcore-memory": 76, "by": 19, "edge": "agentcore-memory", "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7, "zep": 57 } ], "summary": "Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories. Both do memory store.", "verdicts": { "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.", "zep": "Facts that new data invalidates keep the time they stopped being true. The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/agentcore-memory-vs-zep", "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.md", "slim": "https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.min.md" }, "markdown": "Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories. Both do memory store.\n\n- 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\n- Zep: grade B, 69.3/100, rank #181 of 842. Markdown https://www.anchorterminal.com/tools/zep.md · JSON https://www.anchorterminal.com/api/v1/tools/zep.json\n\n## Which one, for what\n\n### Amazon Bedrock AgentCore Memory (A)\n\nGood for: Teams already on AWS that want per-user memory under IAM, KMS and Regional controls, with extraction run for them.\n\nAhead on:\n- Reliability, 88 against 65\n- Agent ergonomics, 86 against 70\n- Transparency \u0026 trust, 76 against 57\n\nAlso in its favour:\n- Agent-ready, a grade of BB or better\n- Runs on your own machine\n\nWatch for: Long-term extraction is asynchronous. The docs say records appear within seconds to minutes after a write\n\n### Zep (B)\n\nGood for: Agents that must track how facts about a person or account change over time, inside a team that needs access policies and audit logs.\n\nAlso in its favour:\n- Free to start without a card\n\nWatch for: The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data\n\n\n## Score by category\n\n| Category | Weight | Amazon Bedrock AgentCore Memory | Zep | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 88 | 65 | Amazon Bedrock AgentCore Memory +23 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 92 | 89 | Amazon Bedrock AgentCore Memory +3 |\n| Agent ergonomics | 13% (16.2 this run) | 86 | 70 | Amazon Bedrock AgentCore Memory +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 87 | 84 | Amazon Bedrock AgentCore Memory +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 30 | 30 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 83 | 80 | Amazon Bedrock AgentCore Memory +3 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 76 | 57 | Amazon Bedrock AgentCore Memory +19 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **79.4 · A** | **69.3 · B** | |\n\n## Facts side by side\n\n| Fact | Amazon Bedrock AgentCore Memory | Zep |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Amazon Web Services | Zep |\n| Hosted endpoint | `https://bedrock-agentcore.{region}.amazonaws.com` | `https://api.getzep.com/api/v2` |\n| Transports | HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| 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 (examples repo). The service is closed-source |\n| Tools exposed | 21 | 12 |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| Last release | 2026-10-06 | 2026-09-24 |\n| Terms last updated | 2026-10-01 | 2026-08-17 |\n| Privacy policy last updated | 2026-05-18 | 2024-01-27 |\n| Customer content may train models | yes, with an opt-out | yes |\n| Terms restrict automated access | yes | yes |\n| Terms restrict benchmarking | yes | yes |\n| Terms or service can change without notice | yes | not found in the text |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 776 stars, 1.1M npm/wk | 4.9k stars, 130k npm/wk, 87k PyPI/wk |\n| Agent reviews | none | 4/5 (2) |\n\n## Verdicts\n\n**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.\n\n**Zep.** Facts that new data invalidates keep the time they stopped being true. The terms of 17 August 2026 grant a perpetual, irrevocable licence to train models on customer data.\n\n## Before you call either\n\n### Amazon Bedrock AgentCore Memory\n\n1. 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\n2. 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`\n3. Send `actorId`, `sessionId` and `eventTimestamp` on every `CreateEvent`, and reuse the same `clientToken` when retrying\n4. Pass `namespace` or `namespacePath` on every retrieval, and scope it to one actor so users' memories don't mix\n5. Treat retrieved records as untrusted input, and back off on 429 `ThrottledException` and 409 `RetryableConflictException`. A quota breach returns 402 `ServiceQuotaExceededException`\n\n### Zep\n\n1. Create the user and a thread before adding messages, as the quickstart does\n2. Set `return_context` when adding messages to skip a second round trip\n3. Keep episodes short. Every 350 bytes past the first costs another credit\n4. Read Retry-After on a 429 and back off with jitter. Free accounts over quota drop to 5 requests a minute\n5. Expect a delay after a graph add (202 Accepted) before new facts show up in search\n\n## Questions\n\n### Which is better for AI agents, Amazon Bedrock AgentCore Memory or Zep?\n\nAmazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories.\n\n### Do Amazon Bedrock AgentCore Memory and Zep need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call Amazon Bedrock AgentCore Memory and Zep without installing anything?\n\nYes. Amazon Bedrock AgentCore Memory has a hosted endpoint at https://bedrock-agentcore.{region}.amazonaws.com and Zep at https://api.getzep.com/api/v2.\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.json, and with the fewest tokens: https://www.anchorterminal.com/compare/agentcore-memory-vs-zep.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"agentcore-memory\", \"b\": \"zep\"}`. From a terminal: `anchor compare agentcore-memory zep`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/agentcore-memory.json and https://www.anchorterminal.com/api/v1/tools/zep.json\n\n## Other comparisons with Amazon Bedrock AgentCore Memory or Zep\n\n- [Amazon Bedrock AgentCore Memory vs Cognee](https://www.anchorterminal.com/compare/agentcore-memory-vs-cognee.md)\n- [Amazon Bedrock AgentCore Memory vs Graphiti](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphiti.md)\n- [Amazon Bedrock AgentCore Memory vs Hindsight](https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight.md)\n- [Amazon Bedrock AgentCore Memory vs Honcho](https://www.anchorterminal.com/compare/agentcore-memory-vs-honcho.md)\n- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)\n- [Amazon Bedrock AgentCore Memory vs LocalGhost](https://www.anchorterminal.com/compare/agentcore-memory-vs-localghost.md)\n- [Amazon Bedrock AgentCore Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-mem0.md)\n- [Amazon Bedrock AgentCore Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/agentcore-memory-vs-supermemory.md)\n- [Cognee vs Zep](https://www.anchorterminal.com/compare/cognee-vs-zep.md)\n- [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md)\n- [Hindsight vs Zep](https://www.anchorterminal.com/compare/hindsight-vs-zep.md)\n- [Honcho vs Zep](https://www.anchorterminal.com/compare/honcho-vs-zep.md)\n- [LangMem vs Zep](https://www.anchorterminal.com/compare/langmem-vs-zep.md)\n- [LocalGhost vs Zep](https://www.anchorterminal.com/compare/localghost-vs-zep.md)\n- [Mem0 Platform + MCP vs Zep](https://www.anchorterminal.com/compare/mem0-vs-zep.md)\n- [Supermemory API + MCP vs Zep](https://www.anchorterminal.com/compare/supermemory-vs-zep.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-09", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.4", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "Amazon Bedrock AgentCore Memory vs Zep", "url": "" } ], "description": "Amazon Bedrock AgentCore Memory scores 79.4 (A) on agent readiness against Zep's 69.3 (B), and leads in 6 of 7 scored categories. Both do memory store. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Amazon Bedrock AgentCore Memory A 79.4", "Zep B 69.3", "scores" ], "h1": "Amazon Bedrock AgentCore Memory vs Zep", "image": "https://www.anchorterminal.com/assets/og/compare-agentcore-memory-vs-zep.png", "path": "/compare/agentcore-memory-vs-zep", "published": "2026-10-01", "section": "tools", "title": "Amazon Bedrock AgentCore Memory vs Zep for AI agents, A 79.4 vs B 69.3", "toc": null, "updated": "2026-10-09", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-zep" }, "tokens": { "markdown": 2250, "slim": 680 }, "version": 1 }