{ "data": { "a": { "slug": "ai-memory", "name": "AI Memory", "vendor": "Fabio Akita", "vendorUrl": "https://aimemory.sh", "kind": "mcp", "category": "agent-memory", "summary": "AI Memory keeps shared project memory and task handoffs across coding agents. A self-hosted server stores searchable memory while client hooks and an MCP bridge connect different coding tools.", "url": "https://www.anchorterminal.com/tools/ai-memory", "markdownUrl": "https://www.anchorterminal.com/tools/ai-memory.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/ai-memory.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/ai-memory.json", "repo": "https://github.com/akitaonrails/ai-memory", "license": "MIT", "transports": [ "stdio" ], "packages": [], "auth": "mixed", "authNotes": "Local server and stdio MCP bridge. Fresh initialisation creates a root bearer token. Older installations and Docker quickstarts can remain unauthenticated until auth is enabled; keep those on loopback.", "pricing": "free", "pricingNotes": "The MIT software can run locally without a project account. Search has a zero-LLM mode; optional consolidation or configured model use can incur provider charges. Hosting costs are the operator’s responsibility.", "priceSummary": "Free", "where": "local", "x402": { "level": "no", "evidence": "No machine payment protocol established in the reviewed project documentation.", "endpoints": [] }, "toolCount": null, "popularity": { "githubStars": 10684, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://github.com/akitaonrails/ai-memory#readme", "capabilities": [ "memory.search", "memory.write", "agent.handoff" ], "tags": [ "agent-memory", "mcp", "free" ], "lastRelease": "2026-10-17", "graded": true, "anchor": { "graded": true, "score": 55.7, "grade": "C", "agentReady": false, "rank": 733, "ranked": true, "rankOf": 1171, "categoryRank": 9, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 50, "payments": 60, "reliability": 50, "schema": 65, "security": 55, "transparency": 35 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-19" }, "negative": 0, "verdict": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.", "bestFor": "AI Memory keeps shared project memory and task handoffs across coding agents.", "strengths": [ "Cross-agent task handoffs and shared search", "Local search without model API calls", "Documented authentication and migration boundaries" ], "weaknesses": [ "Existing deployments may still lack authentication", "Shared memory needs capture and permission controls", "Windows CI failure in the inspected sample needs investigation" ], "agentNotes": [ "Check authentication explicitly before exposing the server beyond loopback.", "Exclude secrets and sensitive repositories from memory capture.", "Back up memory and follow the version 3 migration guide." ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 55.7 } ], "editorialScores": { "ergonomics": 65, "maintenance": 50, "payments": 60, "reliability": 50, "schema": 65, "security": 55, "transparency": 55 }, "provenanceScore": 14 }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/ai-memory" }, "area": "agent-runtime", "provenance": { "legalEntity": "", "domain": "aimemory.sh", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://raw.githubusercontent.com/akitaonrails/ai-memory/main/LICENSE", "privacy": "", "statusPage": "", "changelog": "https://github.com/akitaonrails/ai-memory/releases", "securityTxt": "unknown", "checked": "2026-10-19", "notes": [ "Assessment covers the named repository. No ownership claim or domain registration was verified." ], "score": 14 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/ai-memory.json" }, "answer": "AI Memory scores 55.7 (C) on agent readiness against Hindsight's 50.2 (D), and leads in 3 of 7 scored categories. Hindsight leads on maintenance \u0026 community and transparency \u0026 trust.", "b": { "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": 50.2, "grade": "D", "agentReady": false, "rank": 892, "ranked": true, "rankOf": 1171, "categoryRank": 13, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 57, "maintenance": 80, "payments": 30, "reliability": 25, "schema": 68, "security": 58, "transparency": 45 }, "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.", "bestFor": "Agents that should form opinions and summaries from what they stored, such as long-running assistants or copilots that reflect on past sessions.", "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": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 50.2 } ], "editorialScores": { "ergonomics": 57, "maintenance": 80, "payments": 30, "reliability": 25, "schema": 68, "security": 58, "transparency": 30 }, "provenanceScore": 59 }, "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": 59 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/hindsight.json", "live": { "slug": "hindsight", "probe": { "target": "https://api.hindsight.vectorize.io", "method": "get", "lastAt": "2026-10-19T09:34:31.415198854Z", "lastOk": true, "lastStatus": 404, "lastMs": 135, "authRequired": false, "uptime24h": 100, "uptime30d": 99.98, "p50ms24h": 140, "p95ms24h": 427, "samples24h": 256, "samples30d": 4588, "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": 250, "ok": 250 }, { "date": "2026-10-10", "probes": 247, "ok": 247 }, { "date": "2026-10-11", "probes": 247, "ok": 247 }, { "date": "2026-10-12", "probes": 247, "ok": 247 }, { "date": "2026-10-13", "probes": 248, "ok": 248 }, { "date": "2026-10-14", "probes": 249, "ok": 249 }, { "date": "2026-10-15", "probes": 253, "ok": 253 }, { "date": "2026-10-16", "probes": 252, "ok": 251 }, { "date": "2026-10-17", "probes": 253, "ok": 253 }, { "date": "2026-10-18", "probes": 256, "ok": 256 }, { "date": "2026-10-19", "probes": 102, "ok": 102 } ] }, "versions": [ { "registry": "github", "name": "vectorize-io/hindsight", "version": "v1.0.0", "released": "2026-10-13", "seenAt": "2026-10-19T03:54:53.652790923Z" }, { "registry": "npm", "name": "@vectorize-io/hindsight-client", "version": "1.0.0", "seenAt": "2026-10-19T03:54:51.750266344Z" }, { "registry": "pypi", "name": "hindsight-api", "version": "1.0.0", "released": "2026-10-13", "seenAt": "2026-10-19T03:54:52.160575071Z" }, { "registry": "pypi", "name": "hindsight-client", "version": "1.0.0", "released": "2026-10-13", "seenAt": "2026-10-19T03:54:51.562207688Z" } ], "githubStars": 51306, "npmWeekly": 27318, "pypiWeekly": 225988, "securityTxt": { "url": "https://vectorize.io/.well-known/security.txt", "state": "none", "checkedAt": "2026-10-18T15:53:18.724469735Z" }, "domain": { "domain": "vectorize.io", "checkedAt": "2026-10-18T13:33:31.331312244Z" }, "pages": [ { "url": "https://docs.hindsight.vectorize.io/whats-new", "kind": "changelog", "status": 304, "checkedAt": "2026-10-18T23:28:45.596759396Z", "changedAt": "2026-10-13T20:15:01.529269035Z", "fingerprint": "54604c3a0942" }, { "url": "https://vectorize.io/pricing", "kind": "pricing", "status": 304, "checkedAt": "2026-10-18T23:39:43.826237623Z", "changedAt": "2026-10-13T20:24:56.919055862Z", "fingerprint": "70db20b079b6" }, { "url": "https://vectorize.io/privacy", "kind": "privacy", "status": 304, "checkedAt": "2026-10-18T23:39:45.851497439Z", "changedAt": "2026-10-13T20:24:59.139481927Z", "fingerprint": "bf5d98e08369" }, { "url": "https://vectorize.io/terms", "kind": "terms", "status": 304, "checkedAt": "2026-10-18T23:39:47.956103801Z", "changedAt": "2026-10-13T20:25:01.07724627Z", "fingerprint": "6b27c91d49e3" } ], "github": { "repo": "vectorize-io/hindsight", "checkedAt": "2026-10-19T06:57:51.537308611Z", "stars": 51356, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-17T14:59:44Z", "openIssues": 157, "openPRs": 7, "issuesOpened90d": 943, "issuesClosed90d": 855, "prsMerged90d": 1401, "ci": { "branch": "main", "runs": 50, "success": 42, "failure": 6, "other": 2, "latest": "success", "latestAt": "2026-10-16T20:02:59Z" } }, "updatedAt": "2026-10-19T09:34:31.415198854Z" } }, "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "Fabio Akita", "b": "Vectorize", "name": "Vendor" }, { "a": "no (local only)", "b": "https://api.hindsight.vectorize.io", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP, Streamable HTTP", "name": "Transports" }, { "a": "OAuth or key", "b": "OAuth or key", "name": "Auth" }, { "a": "Free", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "MIT", "b": "MIT", "name": "Licence" }, { "a": "none", "b": "27", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-10-17", "b": "2026-09-29", "name": "Last release" }, { "a": "no date given", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no document linked", "b": "couldn't be read", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "couldn't be read", "name": "Arbitration or class-action waiver" }, { "a": "11k stars", "b": "43k stars, 44k npm/wk, 227k PyPI/wk", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "3/5 (2)", "name": "Agent reviews" } ], "faq": [ { "answer": "AI Memory scores 55.7 (C) on agent readiness against Hindsight's 50.2 (D), and leads in 3 of 7 scored categories. Hindsight leads on maintenance \u0026 community and transparency \u0026 trust.", "question": "Which is better for AI agents, AI Memory or Hindsight?" }, { "answer": "Both take an API key or an OAuth sign-in.", "question": "Do AI Memory and Hindsight need an API key?" }, { "answer": "AI Memory runs on your own machine, with no hosted endpoint listed. Hindsight has a hosted endpoint at https://api.hindsight.vectorize.io.", "question": "Can an agent call AI Memory and Hindsight without installing anything?" }, { "answer": "No open-source release is listed for AI Memory. Hindsight is open source (MIT).", "question": "Are AI Memory and Hindsight open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 50 against 25", "Agent ergonomics, 65 against 57", "Payments \u0026 pricing, 60 against 30" ], "also": [ "Runs on your own machine", "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5" ], "goodFor": "AI Memory keeps shared project memory and task handoffs across coding agents.", "slug": "ai-memory", "watchFor": "Existing deployments may still lack authentication" }, { "aheadOn": [ "Maintenance \u0026 community, 80 against 50", "Transparency \u0026 trust, 45 against 35" ], "also": [ "A hosted endpoint, with nothing to install", "Open source" ], "goodFor": "Agents that should form opinions and summaries from what they stored, such as long-running assistants or copilots that reflect on past sessions.", "slug": "hindsight", "watchFor": "Retain at $10 per million tokens is the priciest ingestion in this category" } ], "job": { "capability": "memory.search", "name": "Memory search" }, "others": [ { "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/cognee-vs-hindsight.json", "title": "Cognee vs Hindsight", "url": "https://www.anchorterminal.com/compare/cognee-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/graphiti-vs-hindsight.json", "title": "Graphiti vs Hindsight", "url": "https://www.anchorterminal.com/compare/graphiti-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-honcho.json", "title": "Hindsight vs Honcho", "url": "https://www.anchorterminal.com/compare/hindsight-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.json", "title": "Hindsight vs Hy Memory", "url": "https://www.anchorterminal.com/compare/hindsight-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-langmem.json", "title": "Hindsight vs LangMem", "url": "https://www.anchorterminal.com/compare/hindsight-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-localghost.json", "title": "Hindsight vs LocalGhost", "url": "https://www.anchorterminal.com/compare/hindsight-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-mem0.json", "title": "Hindsight vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.json", "title": "Hindsight vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory.json", "title": "Hindsight vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/hindsight-vs-supermemory" }, { "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/agentcore-memory-vs-ai-memory.json", "title": "Amazon Bedrock AgentCore Memory vs AI Memory", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee.json", "title": "AI Memory vs Cognee", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-cognee" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.json", "title": "AI Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.json", "title": "AI Memory vs Graphicle", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.json", "title": "AI Memory vs Graphiti", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho.json", "title": "AI Memory vs Honcho", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.json", "title": "AI Memory vs Hy Memory", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj.json", "title": "AI Memory vs Khoj", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem.json", "title": "AI Memory vs LangMem", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0.json", "title": "AI Memory vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.json", "title": "AI Memory vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-zep.json", "title": "AI Memory vs Zep", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight.json", "title": "Context Mode Engine vs Hindsight", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight.json", "title": "Graphicle vs Hindsight", "url": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.json", "title": "AI Memory vs Egoist AI Passport", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport" } ], "scores": [ { "ai-memory": 50, "by": 25, "edge": "ai-memory", "hindsight": 25, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "ai-memory": 65, "by": 3, "edge": "hindsight", "hindsight": 68, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "ai-memory": 65, "by": 8, "edge": "ai-memory", "hindsight": 57, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "ai-memory": 55, "by": 3, "edge": "hindsight", "hindsight": 58, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "ai-memory": 60, "by": 30, "edge": "ai-memory", "hindsight": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "ai-memory": 50, "by": 30, "edge": "hindsight", "hindsight": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "ai-memory": 35, "by": 10, "edge": "hindsight", "hindsight": 45, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "AI Memory scores 55.7 (C) on agent readiness against Hindsight's 50.2 (D), and leads in 3 of 7 scored categories. Hindsight leads on maintenance \u0026 community and transparency \u0026 trust. Both do memory search.", "tutorials": [], "verdicts": { "ai-memory": "Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.", "hindsight": "API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight", "json": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.min.md" }, "markdown": "AI Memory scores 55.7 (C) on agent readiness against Hindsight's 50.2 (D), and leads in 3 of 7 scored categories. Hindsight leads on maintenance \u0026 community and transparency \u0026 trust. Both do memory search.\n\n- AI Memory: grade C, 55.7/100, rank #733 of 1171. Markdown https://www.anchorterminal.com/tools/ai-memory.md · JSON https://www.anchorterminal.com/api/v1/tools/ai-memory.json\n- Hindsight: grade D, 50.2/100, rank #892 of 1171. Markdown https://www.anchorterminal.com/tools/hindsight.md · JSON https://www.anchorterminal.com/api/v1/tools/hindsight.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 103 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### AI Memory (C)\n\nGood for: AI Memory keeps shared project memory and task handoffs across coding agents.\n\nAhead on:\n- Reliability, 50 against 25\n- Agent ergonomics, 65 against 57\n- Payments \u0026 pricing, 60 against 30\n\nAlso in its favour:\n- Runs on your own machine\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: Existing deployments may still lack authentication\n\n### Hindsight (D)\n\nGood for: Agents that should form opinions and summaries from what they stored, such as long-running assistants or copilots that reflect on past sessions.\n\nAhead on:\n- Maintenance \u0026 community, 80 against 50\n- Transparency \u0026 trust, 45 against 35\n\nAlso in its favour:\n- A hosted endpoint, with nothing to install\n- Open source\n\nWatch for: Retain at $10 per million tokens is the priciest ingestion in this category\n\n\n## Score by category\n\n| Category | Weight | AI Memory | Hindsight | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 50 | 25 | AI Memory +25 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 68 | Hindsight +3 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 57 | AI Memory +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 55 | 58 | Hindsight +3 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 60 | 30 | AI Memory +30 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 50 | 80 | Hindsight +30 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 35 | 45 | Hindsight +10 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **55.7 · C** | **50.2 · D** | |\n\n## Facts side by side\n\n| Fact | AI Memory | Hindsight |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | Fabio Akita | Vectorize |\n| Hosted endpoint | no (local only) | `https://api.hindsight.vectorize.io` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | OAuth or key | OAuth or key |\n| Pricing | Free | Pay per use |\n| x402 | no | no |\n| Licence | MIT | MIT |\n| Tools exposed | none | 27 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-10-17 | 2026-09-29 |\n| Terms last updated | no date given | couldn't be read |\n| Privacy policy last updated | no document linked | couldn't be read |\n| Customer content may train models | not found in the text | couldn't be read |\n| Terms restrict automated access | not found in the text | couldn't be read |\n| Terms restrict benchmarking | not found in the text | couldn't be read |\n| Terms or service can change without notice | not found in the text | couldn't be read |\n| Arbitration or class-action waiver | not found in the text | couldn't be read |\n| Popularity | 11k stars | 43k stars, 44k npm/wk, 227k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 3/5 (2) |\n\n## Verdicts\n\n**AI Memory.** Cross-agent task handoffs and shared search. Existing deployments may still lack authentication.\n\n**Hindsight.** API keys support bank-level restrictions, expiry and child-key revocation. Retain ingestion costs $10 per million tokens.\n\n## Before you call either\n\n### AI Memory\n\n1. Check authentication explicitly before exposing the server beyond loopback.\n2. Exclude secrets and sensitive repositories from memory capture.\n3. Back up memory and follow the version 3 migration guide.\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## Questions\n\n### Which is better for AI agents, AI Memory or Hindsight?\n\nAI Memory scores 55.7 (C) on agent readiness against Hindsight's 50.2 (D), and leads in 3 of 7 scored categories. Hindsight leads on maintenance \u0026 community and transparency \u0026 trust.\n\n### Do AI Memory and Hindsight need an API key?\n\nBoth take an API key or an OAuth sign-in.\n\n### Can an agent call AI Memory and Hindsight without installing anything?\n\nAI Memory runs on your own machine, with no hosted endpoint listed. Hindsight has a hosted endpoint at https://api.hindsight.vectorize.io.\n\n### Are AI Memory and Hindsight open source?\n\nNo open-source release is listed for AI Memory. Hindsight is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.json, and with the fewest tokens: https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"ai-memory\", \"b\": \"hindsight\"}`. From a terminal: `anchor compare ai-memory hindsight`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/ai-memory.json and https://www.anchorterminal.com/api/v1/tools/hindsight.json\n\n## Other comparisons with AI Memory or Hindsight\n\n- [Amazon Bedrock AgentCore Memory vs Hindsight](https://www.anchorterminal.com/compare/agentcore-memory-vs-hindsight.md)\n- [Cognee vs Hindsight](https://www.anchorterminal.com/compare/cognee-vs-hindsight.md)\n- [Graphiti vs Hindsight](https://www.anchorterminal.com/compare/graphiti-vs-hindsight.md)\n- [Hindsight vs Honcho](https://www.anchorterminal.com/compare/hindsight-vs-honcho.md)\n- [Hindsight vs Hy Memory](https://www.anchorterminal.com/compare/hindsight-vs-hy-memory.md)\n- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.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 Memory (MCP reference server)](https://www.anchorterminal.com/compare/hindsight-vs-memory-reference-server.md)\n- [Hindsight vs Supermemory API + MCP](https://www.anchorterminal.com/compare/hindsight-vs-supermemory.md)\n- [Hindsight vs Zep](https://www.anchorterminal.com/compare/hindsight-vs-zep.md)\n- [Amazon Bedrock AgentCore Memory vs AI Memory](https://www.anchorterminal.com/compare/agentcore-memory-vs-ai-memory.md)\n- [AI Memory vs Cognee](https://www.anchorterminal.com/compare/ai-memory-vs-cognee.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [AI Memory vs Graphiti](https://www.anchorterminal.com/compare/ai-memory-vs-graphiti.md)\n- [AI Memory vs Honcho](https://www.anchorterminal.com/compare/ai-memory-vs-honcho.md)\n- [AI Memory vs Hy Memory](https://www.anchorterminal.com/compare/ai-memory-vs-hy-memory.md)\n- [AI Memory vs Khoj](https://www.anchorterminal.com/compare/ai-memory-vs-khoj.md)\n- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)\n- [AI Memory vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-mem0.md)\n- [AI Memory vs Supermemory API + MCP](https://www.anchorterminal.com/compare/ai-memory-vs-supermemory.md)\n- [AI Memory vs Zep](https://www.anchorterminal.com/compare/ai-memory-vs-zep.md)\n- [Context Mode Engine vs Hindsight](https://www.anchorterminal.com/compare/context-mode-vs-hindsight.md)\n- [Graphicle vs Hindsight](https://www.anchorterminal.com/compare/graphicle-vs-hindsight.md)\n- [AI Memory vs Egoist AI Passport](https://www.anchorterminal.com/compare/ai-memory-vs-egoist-ai-passport.md)\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "attributionRequired": true, "credit": "CC BY 4.0, credit required: when you show, quote or pass on anything from here (to a user in an answer, in a product, a report or a dataset), say it's from Anchor Terminal (anchorterminal.com) and link the page or API address you took it from. Reviews also credit their author.", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-19", "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", "terms": "https://www.anchorterminal.com/terms/#data" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Compare", "url": "https://www.anchorterminal.com/compare/" }, { "name": "AI Memory vs Hindsight", "url": "" } ], "description": "AI Memory scores 55.7 (C) to Hindsight's 50.2 (D) for memory search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "AI Memory C 55.7", "Hindsight D 50.2", "scores" ], "h1": "AI Memory vs Hindsight", "image": "https://www.anchorterminal.com/assets/og/compare-ai-memory-vs-hindsight.png", "path": "/compare/ai-memory-vs-hindsight", "published": "2026-10-01", "section": "tools", "title": "AI Memory vs Hindsight for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-10-19", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight" }, "tokens": { "markdown": 2250, "slim": 730 }, "version": 1 }