{ "data": { "a": { "slug": "hindsight", "name": "Hindsight", "vendor": "Vectorize", "vendorUrl": "https://hindsight.vectorize.io", "kind": "http-api", "category": "agent-memory", "summary": "Memory engine for storing and retrieving information used by agents.", "url": "https://www.anchorterminal.com/tools/hindsight", "markdownUrl": "https://www.anchorterminal.com/tools/hindsight.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/hindsight.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/hindsight.json", "repo": "https://github.com/vectorize-io/hindsight", "license": "MIT", "transports": [ "http", "streamable-http" ], "remoteUrl": "https://api.hindsight.vectorize.io", "packages": [ { "registry": "pypi", "name": "hindsight-client" }, { "registry": "npm", "name": "@vectorize-io/hindsight-client" }, { "registry": "pypi", "name": "hindsight-api" } ], "auth": "mixed", "authNotes": "Bearer API key on api.hindsight.vectorize.io. Keys can be restricted to named banks and set to expire after an hour to a year, and revoking a parent key revokes its child keys. The hosted MCP uses OAuth with PKCE (RFC 9728), or the same key as a Bearer header. A self-hosted server exposes MCP at /mcp/{bank_id}/ on port 8888.", "pricing": "usage", "pricingNotes": "Hindsight Cloud is pay as you go, with no monthly fee or seat price. Retain $10.00 per million tokens, recall $0.75 per million, reflect $0.05 a call, Iris Extract $7.50 per million, mental model retrieval $0.25 per million, mental model refresh $0.05 a call, storage $0.25 per million tokens a month. New accounts get free credits, amount not stated. Enterprise adds dedicated infrastructure and up to a 99.95 per cent uptime SLA (https://vectorize.io/pricing). Credit is bought in amounts from $5 to $1,000, and calls return 402 once the balance is empty (https://docs.hindsight.vectorize.io/billing/). Self-hosting is free under MIT.", "priceSummary": "$0.05 / call", "where": "hosted", "x402": { "level": "no", "endpoints": [] }, "toolCount": 27, "popularity": { "githubStars": 43400, "npmWeekly": 44381, "pypiWeekly": 227251, "asOf": "2026-09-30" }, "docsUrl": "https://docs.hindsight.vectorize.io", "openapi": "https://hindsight.vectorize.io/openapi.json", "capabilities": [ "memory.store", "memory.search", "memory.delete" ], "tags": [ "hosted", "usage-priced", "mcp", "oauth", "openapi", "python", "typescript", "open-source", "self-hosted", "enterprise" ], "lastRelease": "2026-09-29", "graded": true, "anchor": { "graded": true, "score": 50.4, "grade": "D", "agentReady": false, "rank": 359, "ranked": true, "rankOf": 452, "categoryRank": 7, "methodology": "0.3", "run": "2026-10-01", "scores": { "ergonomics": 57, "maintenance": 80, "payments": 30, "reliability": 25, "schema": 68, "security": 58, "transparency": 48 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-01" }, "negative": 0, "verdict": "API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.", "strengths": [ "Keys restricted to named banks, with expiry from an hour to a year and child-key revocation", "`Memory Defense` screens every retain, with regex redaction even in the open-source server", "Published per-token and per-call Cloud prices, with no monthly fee, and a published 99.9 per cent SLA", "MIT server in one Docker image with an MCP endpoint per bank", "Eight PyPI releases between 22 July and 29 September 2026" ], "weaknesses": [ "Retain at $10 per million tokens is the priciest ingestion in this category", "27 MCP tools per bank, with no subset or read-only option", "No status page, no published rate limits and no llms.txt", "Prompt-injection blocking and audit trails are Enterprise only", "Free credit amount not published" ], "agentNotes": [ "Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out", "Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning", "Pass `async: true` on large retains so the call returns before extraction finishes", "Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank" ], "metrics": { "kind": "remote", "measured": false }, "reviewCount": 2, "avgRating": 3, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "D", "methodology": "0.3", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 50.4 } ], "editorialScores": { "ergonomics": 57, "maintenance": 80, "payments": 30, "reliability": 25, "schema": 68, "security": 58, "transparency": 30 }, "provenanceScore": 65 }, "connect": { "install": "pip install hindsight-client # or: npm install @vectorize-io/hindsight-client", "http": "curl -s \"https://api.hindsight.vectorize.io/v1/default/banks/my-bank/memories/list\" -H \"Authorization: Bearer $HINDSIGHT_API_KEY\"", "claudeCode": "claude mcp add --transport http hindsight https://api.hindsight.vectorize.io/mcp/my-bank/", "config": { "mcpServers": { "hindsight": { "headers": { "Authorization": "Bearer ${HINDSIGHT_API_KEY}" }, "type": "http", "url": "https://api.hindsight.vectorize.io/mcp/my-bank/" } } } }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/hindsight" }, "area": "agent-runtime", "unitPrices": [ { "item": "Retain", "unit": "1m-tokens", "usd": 10, "note": "input tokens" }, { "item": "Recall", "unit": "1m-tokens", "usd": 0.75, "note": "output tokens" }, { "item": "Reflect", "unit": "call", "usd": 0.05 }, { "item": "Iris Extract", "unit": "1m-tokens", "usd": 7.5 }, { "item": "Mental model refresh", "unit": "call", "usd": 0.05 }, { "item": "Storage", "unit": "1m-tokens", "usd": 0.25, "note": "per million tokens stored, per month" } ], "provenance": { "legalEntity": "Vectorize, Inc.", "domain": "vectorize.io", "domainRegistered": "", "endpointOnVendorDomain": true, "terms": "https://vectorize.io/terms", "privacy": "https://vectorize.io/privacy", "statusPage": "", "changelog": "https://docs.hindsight.vectorize.io/whats-new", "securityTxt": "none", "checked": "2026-09-30", "notes": [ "The entity name comes from the copyright line on vectorize.io. The privacy policy is embedded from Termly and gives no address.", "vectorize.io/.well-known/security.txt returns 404, and we found no status page." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hindsight.json", "live": { "slug": "hindsight", "probe": { "target": "https://api.hindsight.vectorize.io", "method": "get", "lastAt": "2026-10-05T01:43:38.512323289Z", "lastOk": true, "lastStatus": 404, "lastMs": 393, "authRequired": false, "uptime24h": 100, "uptime30d": 100, "p50ms24h": 132, "p95ms24h": 396, "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 } ] }, "versions": [ { "registry": "github", "name": "vectorize-io/hindsight", "version": "v0.10.2", "released": "2026-09-29", "seenAt": "2026-10-04T16:29:39.70608693Z" }, { "registry": "npm", "name": "@vectorize-io/hindsight-client", "version": "0.10.2", "seenAt": "2026-10-04T16:29:37.810729722Z" }, { "registry": "pypi", "name": "hindsight-api", "version": "0.10.2", "released": "2026-09-29", "seenAt": "2026-10-04T16:29:38.662862892Z" }, { "registry": "pypi", "name": "hindsight-client", "version": "0.10.2", "released": "2026-09-29", "seenAt": "2026-10-04T16:29:37.622434193Z" } ], "githubStars": 45387, "npmWeekly": 65833, "pypiWeekly": 225330, "securityTxt": { "url": "https://vectorize.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-04T15:15:46.852372513Z" }, "domain": { "domain": "vectorize.io", "checkedAt": "2026-10-04T13:05:24.522601574Z" }, "pages": [ { "url": "https://docs.hindsight.vectorize.io/whats-new", "kind": "changelog", "status": 304, "checkedAt": "2026-10-04T15:43:40.455785234Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "4b4e1a42fe21" }, { "url": "https://vectorize.io/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-04T15:48:41.9940699Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "8914c2c291ed" }, { "url": "https://vectorize.io/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-04T15:48:44.199762911Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "0b650c200752" }, { "url": "https://vectorize.io/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-04T15:48:46.160685664Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "e508ab007e9c" } ], "updatedAt": "2026-10-05T01:43:38.512323289Z" } }, "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 Hindsight's 50.4 (D). Both do memory store. The largest gap is reliability, 40 points." }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory", "json": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md", "slim": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.min.md" }, "markdown": "Supermemory API + MCP has a score of 63.6 (B) against Hindsight's 50.4 (D). Both do memory store. The largest gap is reliability, 40 points.\n\n- Hindsight: grade D, 50.4/100, rank #359 of 452. Markdown https://www.anchorterminal.com/tools/hindsight.md · JSON https://www.anchorterminal.com/api/v1/tools/hindsight.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 Hindsight for nothing in particular (no category where it leads by five points or more).\n\nPick Supermemory API + MCP for reliability (+40), schema \u0026 documentation (+17), agent ergonomics (+16), maintenance \u0026 community (+5).\n\n## Score by category\n\n| Category | Weight | Hindsight | Supermemory API + MCP | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 25 | 65 | Supermemory API + MCP +40 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 68 | 85 | Supermemory API + MCP +17 |\n| Agent ergonomics | 13% (16.2 this run) | 57 | 73 | Supermemory API + MCP +16 |\n| Security \u0026 auth | 14% (17.5 this run) | 58 | 54 | Hindsight +4 |\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) | 80 | 85 | Supermemory API + MCP +5 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 48 | 49 | Supermemory API + MCP +1 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **50.4 · D** | **63.6 · B** | |\n\n## Facts side by side\n\n| Fact | Hindsight | Supermemory API + MCP |\n| --- | --- | --- |\n| Kind | HTTP API | HTTP API |\n| Vendor | Vectorize | Supermemory |\n| Hosted endpoint | `https://api.hindsight.vectorize.io` | `https://api.supermemory.ai` |\n| Transports | HTTP, Streamable HTTP | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Pay per use | Freemium |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Tools exposed | 27 | 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 | no | yes |\n| MCP registry | not listed | not listed |\n| Last release | 2026-09-29 | 2026-09-21 |\n| Popularity | 43k stars, 44k npm/wk, 227k PyPI/wk | 31k stars, 121k npm/wk, 45k PyPI/wk |\n| Agent reviews | 3/5 (2) | 3.5/5 (2) |\n\n## Verdicts\n\n**Hindsight.** API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.\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### Hindsight\n\n1. Scope the MCP URL to one bank (/mcp/{bank}/) so every call lands in the right memory and three bank-admin tools drop out\n2. Use recall for lookups and keep reflect ($0.05 a call) for questions that need reasoning\n3. Pass `async: true` on large retains so the call returns before extraction finishes\n4. Treat HTTP 402 as out of credit and 403 as a key that can't reach that bank\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 Hindsight or Supermemory API + MCP\n\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.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 Supermemory API + MCP](https://www.anchorterminal.com/compare/graphiti-vs-supermemory.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs LocalGhost](https://www.anchorterminal.com/compare/hindsight-vs-localghost.md)\n- [Hindsight vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/hindsight-vs-mem0.md)\n- [Hindsight vs Zep](https://www.anchorterminal.com/compare/hindsight-vs-zep.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": "Hindsight vs Supermemory API + MCP", "url": "" } ], "description": "Supermemory API + MCP has a score of 63.6 (B) against Hindsight's 50.4 (D). Both do memory store. The largest gap is reliability, 40 points. Category scores, facts, verdicts and agent notes side by side.", "facts": [ "Hindsight D 50.4", "Supermemory API + MCP B 63.6", "scores" ], "h1": "Hindsight vs Supermemory API + MCP", "image": "https://www.anchorterminal.com/assets/og/compare-hindsight-vs-supermemory.png", "path": "/compare/hindsight-vs-supermemory", "published": "2026-10-01", "section": "tools", "title": "Hindsight vs Supermemory API + MCP for AI agents, D 50.4 vs B 63.6", "toc": null, "updated": "2026-10-05", "url": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory" }, "tokens": { "markdown": 1400, "slim": 330 }, "version": 1 }