{ "data": { "a": { "slug": "graphiti", "name": "Graphiti", "vendor": "Zep", "vendorUrl": "https://www.getzep.com", "kind": "framework", "category": "agent-memory", "summary": "Open-source Python framework from Zep that builds a temporal knowledge graph from chat messages, text and JSON.", "url": "https://www.anchorterminal.com/tools/graphiti", "markdownUrl": "https://www.anchorterminal.com/tools/graphiti.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphiti.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphiti.json", "repo": "https://github.com/getzep/graphiti", "license": "Apache-2.0", "transports": [ "streamable-http", "stdio" ], "packages": [ { "registry": "pypi", "name": "graphiti-core" } ], "auth": "none", "authNotes": "Runs on your own machine. You supply an LLM key (OPENAI_API_KEY by default) and database settings such as FALKORDB_URI or NEO4J_URI, NEO4J_USER and NEO4J_PASSWORD.", "pricing": "free", "pricingNotes": "Free under Apache-2.0. You pay for the LLM and embedding calls it makes on every ingest and for running the graph database (https://github.com/getzep/graphiti). Zep sells a hosted memory service from the same team (https://www.getzep.com/pricing/).", "priceSummary": "Free · OSS", "where": "library", "x402": { "level": "no", "endpoints": [] }, "toolCount": 13, "popularity": { "githubStars": 29000, "npmWeekly": null, "pypiWeekly": 151251, "asOf": "2026-09-30" }, "docsUrl": "https://help.getzep.com/graphiti/getting-started/overview", "llmsTxt": "https://help.getzep.com/llms.txt", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.delete" ], "tags": [ "framework", "open-source", "self-hosted", "local", "python", "mcp", "llms-txt" ], "lastRelease": "2026-09-08", "graded": true, "anchor": { "graded": true, "score": 53.3, "grade": "D", "agentReady": false, "rank": 333, "ranked": true, "rankOf": 452, "categoryRank": 6, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 51, "maintenance": 65, "payments": 60, "reliability": 50, "schema": 71, "security": 23, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.", "strengths": [ "Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store", "13-tool MCP server over streamable HTTP or stdio, with a Docker Compose file", "Works with OpenAI, Anthropic, Gemini, Groq or a local OpenAI-compatible model", "Telemetry documented, content-free by its own statement, and off with one environment variable", "Three PyPI releases between 27 July and 8 September 2026" ], "weaknesses": [ "Every add runs LLM extraction, so ingestion costs tokens and time", "The MCP HTTP endpoint has no authentication, and no tool carries readOnlyHint or destructiveHint", "Still 0.x, and the last three PyPI releases have no GitHub release notes", "255 open issues, including a broken MCP Docker build reported in July 2026", "No official entry in the MCP registry" ], "agentNotes": [ "Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server", "Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes", "Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge", "Pass group_ids on every search and add so one user's graph doesn't leak into another's", "Call get_status to check the database connection before a long ingest" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 2, "avgRating": 2.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 53.3 } ], "editorialScores": { "ergonomics": 51, "maintenance": 65, "payments": 60, "reliability": 50, "schema": 71, "security": 23, "transparency": 78 }, "provenanceScore": 63 }, "connect": { "install": "pip install graphiti-core # or: pip install graphiti-core[falkordb]", "claudeCode": "claude mcp add --transport http graphiti http://localhost:8000/mcp/", "config": { "mcpServers": { "graphiti": { "type": "http", "url": "http://localhost:8000/mcp/" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/graphiti" }, "sameCompany": [ "zep" ], "area": "agent-runtime", "provenance": { "legalEntity": "Zep Software, Inc.", "domain": "getzep.com", "domainRegistered": "2023-05-08", "endpointOnVendorDomain": null, "terms": "", "privacy": "", "statusPage": "", "changelog": "https://github.com/getzep/graphiti/releases", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "A library and local server, so there's no hosted endpoint. Zep Software, Inc. owns the repository and publishes its docs on help.getzep.com." ], "score": 63 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/graphiti.json", "live": { "slug": "graphiti", "versions": [ { "registry": "github", "name": "getzep/graphiti", "version": "v0.30.2", "released": "2026-09-08", "seenAt": "2026-10-04T16:29:13.398654956Z" }, { "registry": "pypi", "name": "graphiti-core", "version": "0.30.2", "released": "2026-09-08", "seenAt": "2026-10-04T16:29:13.214213248Z" } ], "githubStars": 31430, "pypiWeekly": 142231, "securityTxt": { "url": "https://getzep.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:52.364915515Z" }, "llmsTxt": { "url": "https://help.getzep.com/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:17:51.568653025Z" }, "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://www.getzep.com/pricing/", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:50:33.53600163Z", "changedAt": "2026-10-03T15:38:25.165141175Z", "fingerprint": "6ec6dab9051f" } ], "updatedAt": "2026-10-04T16:29:13.398654956Z" } }, "b": { "slug": "supermemory", "name": "Supermemory API + MCP", "vendor": "Supermemory", "vendorUrl": "https://supermemory.ai", "kind": "http-api", "category": "agent-memory", "summary": "Memory and context API that ingests text, URLs, PDFs, images and video, extracts memories into a graph per container tag (usually one per user) and returns them through search or a user profile endpoint.", "url": "https://www.anchorterminal.com/tools/supermemory", "markdownUrl": "https://www.anchorterminal.com/tools/supermemory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/supermemory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/supermemory.json", "repo": "https://github.com/supermemoryai/supermemory", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.supermemory.ai", "packages": [ { "registry": "npm", "name": "supermemory" }, { "registry": "pypi", "name": "supermemory" } ], "auth": "mixed", "authNotes": "Bearer API key (`sm_...`) from console.supermemory.ai. Org keys have full access. Scoped keys are limited to one or more container tags, can't read billing, change settings or mint keys, can expire after 1 to 365 days and are revocable. The hosted MCP at mcp.supermemory.ai/mcp signs in with OAuth in a browser and needs no key.", "pricing": "freemium", "pricingNotes": "Each plan includes monthly usage credit. Free is $0 with $5 of credit, Pro $19 with $20, Max $100 with $130 (adds the Gmail connector), Scale $399 with $600 (adds PDF extraction, S3 and crawler connectors, SOC 2, a HIPAA BAA and a self-hosted option), and Enterprise is committed spend. Usage is $5 per million SM tokens for plain-text memory and $10 for rich content, $1 and $2 per million for SuperRAG text and rich media, $5 per million search queries and $100 per million operations (https://supermemory.ai/pricing). Paid plans can auto top up, and the top-up limits don't cap the invoice (https://supermemory.ai/docs/overview/billing.md).", "priceSummary": "$19 / mo", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 8, "popularity": { "githubStars": 31000, "npmWeekly": 121387, "pypiWeekly": 45053, "asOf": "2026-09-30" }, "docsUrl": "https://supermemory.ai/docs", "llmsTxt": "https://supermemory.ai/docs/llms.txt", "openapi": "https://api.supermemory.ai/v4/openapi", "capabilities": [ "memory.store", "memory.search", "memory.graph", "memory.user", "memory.delete" ], "tags": [ "hosted", "freemium", "free-tier", "mcp", "oauth", "llms-txt", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-09-21", "graded": true, "anchor": { "graded": true, "score": 63.6, "grade": "B", "agentReady": false, "rank": 201, "ranked": true, "rankOf": 452, "categoryRank": 3, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 73, "maintenance": 85, "payments": 30, "reliability": 65, "schema": 85, "security": 54, "transparency": 49 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.", "strengths": [ "8-tool hosted MCP with OAuth and per-space read or write permission", "Scoped keys limited to container tags, with expiry from 1 to 365 days", "Status page shows 100 per cent for the API and Console from July to October 2026", "Customer content never trains models on any plan, per the security page", "One endpoint ingests text, URLs, PDFs, images and video" ], "weaknesses": [ "No legal entity named in the terms or privacy policy", "No published rate limits or 429 guidance", "Ingests web pages and PDFs with no prompt-injection guidance found", "v3 and v4 endpoints live side by side, so examples disagree", "No security.txt and no official MCP registry entry" ], "agentNotes": [ "Use one stable `containerTag` per user and a `customId` per session", "Poll the document until `status` is `done` before searching for what you just added", "Treat a 402 on search or profile as out of credit, not as a bug", "Run the prompt-based mass forget with `dryRun` first", "Call who_am_i on the MCP to see which spaces you can write to before adding" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 63.6 } ], "editorialScores": { "ergonomics": 73, "maintenance": 85, "payments": 30, "reliability": 65, "schema": 85, "security": 54, "transparency": 43 }, "provenanceScore": 55 }, "connect": { "install": "npm install supermemory # or: pip install supermemory", "http": "curl -X POST \"https://api.supermemory.ai/v3/documents\" \\\n -H \"Authorization: Bearer $SUPERMEMORY_API_KEY\" \\\n -H \"Content-Type: application/json\" \\\n -d '{\"content\":\"Sarah is being promoted to VP of Product.\",\"containerTag\":\"user_123\",\"customId\":\"chat_session_1\",\"metadata\":{\"type\":\"conversation\"},\"dreaming\":\"instant\"}'", "claudeCode": "claude mcp add --transport http supermemory https://mcp.supermemory.ai/mcp", "config": { "mcpServers": { "supermemory": { "type": "http", "url": "https://mcp.supermemory.ai/mcp" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/supermemory" }, "area": "agent-runtime", "unitPrices": [ { "item": "Pro plan", "unit": "month", "usd": 19, "note": "$20 of usage credit" }, { "item": "Max plan", "unit": "month", "usd": 100, "note": "$130 of usage credit" }, { "item": "Scale plan", "unit": "month", "usd": 399, "note": "$600 of usage credit, SOC 2, HIPAA BAA" }, { "item": "Memory ingestion, plain text", "unit": "1m-tokens", "usd": 5, "note": "SM tokens" }, { "item": "Memory ingestion, rich content", "unit": "1m-tokens", "usd": 10, "note": "PDFs, media and extraction-heavy content" }, { "item": "Search and profile queries", "unit": "1k-requests", "usd": 0.005, "note": "$5 per million queries" }, { "item": "Operations", "unit": "1k-calls", "usd": 0.1, "note": "$100 per million, e.g. instant dreaming" } ], "provenance": { "legalEntity": "", "domain": "supermemory.ai", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://supermemory.ai/terms", "privacy": "https://supermemory.ai/privacy", "statusPage": "https://status.supermemory.ai", "changelog": "https://supermemory.ai/changelog/api/", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The terms (updated 2 June 2025) and privacy policy (4 June 2025) refer only to \"supermemory\" in San Francisco and name no company. The terms are governed by Delaware law.", "supermemory.ai/.well-known/security.txt returns 404.", "The status page tracks the API and the console and showed no incidents from June to September 2026." ], "score": 55 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/supermemory.json", "live": { "slug": "supermemory", "probe": { "target": "https://api.supermemory.ai", "method": "get", "lastAt": "2026-10-05T01:43:46.207735834Z", "lastOk": true, "lastStatus": 200, "lastMs": 229, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 221, "p95ms24h": 1227, "samples24h": 272, "samples30d": 920, "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": 20, "ok": 20 } ] }, "vendorStatus": { "page": "https://status.supermemory.ai", "indicator": "none", "summary": "All Systems Operational", "checkedAt": "2026-10-05T01:46:47.43615967Z" }, "versions": [ { "registry": "github", "name": "supermemoryai/supermemory", "version": "server-v0.0.8", "released": "2026-08-17", "seenAt": "2026-10-04T16:41:06.655531873Z" }, { "registry": "npm", "name": "supermemory", "version": "4.25.4", "seenAt": "2026-10-04T16:41:05.654638532Z" }, { "registry": "pypi", "name": "supermemory", "version": "3.62.0", "released": "2026-09-15", "seenAt": "2026-10-04T16:41:06.468818959Z" } ], "githubStars": 31075, "npmWeekly": 150676, "pypiWeekly": 46556, "securityTxt": { "url": "https://supermemory.ai/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:36.802431241Z" }, "llmsTxt": { "url": "https://supermemory.ai/docs/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-10-04T15:18:16.596856529Z" }, "domain": { "domain": "supermemory.ai", "registered": "2024-05-02", "source": "https://rdap.identitydigital.services/rdap/domain/supermemory.ai", "checkedAt": "2026-10-04T13:08:43.474403681Z" }, "pages": [ { "url": "https://supermemory.ai/changelog/api/", "kind": "changelog", "status": 200, "checkedAt": "2026-10-04T15:48:15.450890909Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2ddcbbb7c52b" }, { "url": "https://supermemory.ai/pricing", "kind": "pricing", "status": 200, "checkedAt": "2026-10-04T15:48:17.502123356Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "5a59edaa8317" }, { "url": "https://supermemory.ai/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-04T15:48:19.507816683Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "fdcd3f77f37b" }, { "url": "https://supermemory.ai/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-04T15:48:21.500893622Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "2a27b70bf76f" } ], "updatedAt": "2026-10-05T01:46:47.43615967Z" } }, "summary": "Supermemory API + MCP has a score of 63.6 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 31 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory", "json": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md", "slim": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory.min.md" }, "markdown": "Supermemory API + MCP has a score of 63.6 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 31 points.\n\n- Graphiti: grade D, 53.3/100, rank #333 of 452. Markdown https://www.anchorterminal.com/tools/graphiti.md · JSON https://www.anchorterminal.com/api/v1/tools/graphiti.json\n- Supermemory API + MCP: grade B, 63.6/100, rank #201 of 452. Markdown https://www.anchorterminal.com/tools/supermemory.md · JSON https://www.anchorterminal.com/api/v1/tools/supermemory.json\n\n## Which one, for what\n\nPick Graphiti for payments \u0026 pricing (+30), transparency \u0026 trust (+22).\n\nPick Supermemory API + MCP for reliability (+15), schema \u0026 documentation (+14), agent ergonomics (+22), security \u0026 auth (+31), maintenance \u0026 community (+20).\n\n## Score by category\n\n| Category | Weight | Graphiti | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 65 | Supermemory API + MCP +15 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 71 | 85 | Supermemory API + MCP +14 |\n| Agent ergonomics | 13% (16.2 this run) | 51 | 73 | Supermemory API + MCP +22 |\n| Security \u0026 auth | 14% (17.5 this run) | 23 | 54 | Supermemory API + MCP +31 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | Graphiti +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 65 | 85 | Supermemory API + MCP +20 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 71 | 49 | Graphiti +22 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **53.3 · D** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Graphiti | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | Agent framework | HTTP API |\n| Vendor | Zep | Supermemory |\n| Hosted endpoint | no (local only) | `https://api.supermemory.ai` |\n| Transports | Streamable HTTP, stdio | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Free | Freemium |\n| x402 | no | no |\n| Licence | Apache-2.0 | MIT |\n| Tools exposed | 13 | 8 |\n| Context cost (tools/list) | n/a | n/a |\n| p95 latency | not measured yet | not measured yet |\n| Availability (30d) | not measured yet | not measured yet |\n| Read-only variant documented | no | no |\n| llms.txt | yes | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-08 | 2026-09-21 |\n| Popularity | 29k stars, 151k PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 2.5/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Graphiti.** Apache-2.0, with FalkorDB, Neo4j or Amazon Neptune as the store. Every add runs LLM extraction, so ingestion costs tokens and time.\n\n**Supermemory API + MCP.** 8-tool hosted MCP with OAuth and per-space read or write permission. No legal entity named in the terms or privacy policy.\n\n## Before you call either\n\n### Graphiti\n\n1. Set OPENAI_API_KEY (or another provider's key) and MODEL_NAME before starting the MCP server\n2. Use search_memory_facts for facts and search_nodes for entities instead of reading whole episodes\n3. Never call clear_graph to fix one fact. Use delete_episode or delete_entity_edge\n4. Pass group_ids on every search and add so one user's graph doesn't leak into another's\n5. Call get_status to check the database connection before a long ingest\n\n### Supermemory API + MCP\n\n1. Use one stable `containerTag` per user and a `customId` per session\n2. Poll the document until `status` is `done` before searching for what you just added\n3. Treat a 402 on search or profile as out of credit, not as a bug\n4. Run the prompt-based mass forget with `dryRun` first\n5. Call who_am_i on the MCP to see which spaces you can write to before adding\n\n## Other comparisons with Graphiti or Supermemory API + MCP\n\n- [Cognee vs Graphiti](https://www.anchorterminal.com/compare/cognee-vs-graphiti.md)\n- [Cognee vs Supermemory API + MCP](https://www.anchorterminal.com/compare/cognee-vs-supermemory.md)\n- [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Graphiti vs Honcho](https://www.anchorterminal.com/compare/graphiti-vs-honcho.md)\n- [Graphiti vs LocalGhost](https://www.anchorterminal.com/compare/graphiti-vs-localghost.md)\n- [Graphiti vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphiti-vs-mem0.md)\n- [Graphiti vs Zep](https://www.anchorterminal.com/compare/graphiti-vs-zep.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Honcho vs Supermemory API + MCP](https://www.anchorterminal.com/compare/honcho-vs-supermemory.md)\n- [LocalGhost vs Supermemory API + MCP](https://www.anchorterminal.com/compare/localghost-vs-supermemory.md)\n- [Mem0 Platform + MCP vs Supermemory API + MCP](https://www.anchorterminal.com/compare/mem0-vs-supermemory.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": "2026-10-05", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "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": "Graphiti vs Supermemory API + MCP", "url": "" } ], "description": "Supermemory API + MCP has a score of 63.6 (B) against Graphiti's 53.3 (D). Both do memory store. The largest gap is security \u0026 auth, 31 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Graphiti D 53.3", "Supermemory API + MCP B 63.6", "scores" ], "h1": "Graphiti vs Supermemory API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-graphiti-vs-supermemory.png", "path": "/compare/graphiti-vs-supermemory", "published": "2026-10-01", "section": "tools", "title": "Graphiti vs Supermemory API + MCP for AI agents, D 53.3 vs B 63.6", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/graphiti-vs-supermemory" }, "tokens": { "markdown": 1400, "slim": 380 }, "version": 1 }