{ "data": { "a": { "slug": "context-mode", "name": "Context Mode Engine", "vendor": "MKSF LTD", "vendorUrl": "https://context-mode.com", "kind": "mcp", "category": "agent-memory", "summary": "Context Mode Engine indexes tool output and session events locally for coding agents. Its MCP tools and client hooks let agents retrieve relevant material while keeping large outputs outside the active context.", "url": "https://www.anchorterminal.com/tools/context-mode", "markdownUrl": "https://www.anchorterminal.com/tools/context-mode.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/context-mode.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/context-mode.json", "repo": "https://github.com/mksglu/context-mode", "license": "Elastic License 2.0, source available with restrictions on hosted or managed services.", "transports": [ "stdio" ], "packages": [ { "registry": "npm", "name": "context-mode" } ], "auth": "none", "authNotes": "Local stdio MCP server installed from npm, with Node.js 22.5 or later or a supported Bun setup. Automatic routing depends on the client hooks; MCP-only installation does not enable all hooks.", "pricing": "freemium", "pricingNotes": "Engine runs locally for free. The separate hosted gateway has 1,000 free requests once, then Starter at $20 a month for 10,000 and Pro at $49 for 50,000. Model-provider charges are separate.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No machine payment protocol established in the reviewed project documentation.", "endpoints": [] }, "toolCount": 11, "popularity": { "githubStars": 30841, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-19" }, "docsUrl": "https://github.com/mksglu/context-mode#readme", "capabilities": [ "memory.search", "context.manage" ], "tags": [ "agent-memory", "mcp", "freemium" ], "lastRelease": "2026-06-29", "graded": true, "anchor": { "graded": true, "score": 45.8, "grade": "E", "agentReady": false, "rank": 993, "ranked": true, "rankOf": 1171, "categoryRank": 15, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 65, "maintenance": 10, "payments": 40, "reliability": 45, "schema": 65, "security": 35, "transparency": 42 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-19" }, "negative": 0, "verdict": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.", "bestFor": "Context Mode Engine indexes tool output and session events locally for coding agents.", "strengths": [ "Local indexing and selective retrieval", "MCP-only and client-hook installation paths", "Public source for permission checks" ], "weaknesses": [ "Hosted-service restrictions under Elastic License 2.0", "Client hook support differs", "Sampled CI failures and older GitHub release need investigation" ], "agentNotes": [ "Choose the installation guide for the exact coding client.", "Check host permissions before enabling code execution.", "Review the Elastic licence before hosting Engine for others." ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "E", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 45.8 } ], "editorialScores": { "ergonomics": 65, "maintenance": 10, "payments": 40, "reliability": 45, "schema": 65, "security": 35, "transparency": 45 }, "provenanceScore": 39 }, "connect": { "config": { "mcpServers": { "context-mode": { "args": [ "-y", "context-mode" ], "command": "npx" } } } }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/context-mode" }, "area": "agent-runtime", "provenance": { "legalEntity": "MKSF LTD", "domain": "context-mode.com", "domainRegistered": "", "endpointOnVendorDomain": false, "terms": "https://raw.githubusercontent.com/mksglu/context-mode/main/LICENSE", "privacy": "https://context-mode.com/privacy", "statusPage": "", "changelog": "https://github.com/mksglu/context-mode/releases", "securityTxt": "unknown", "checked": "2026-10-19", "notes": [ "Assessment covers the named repository. No ownership claim or domain registration was verified." ], "score": 39 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/context-mode.json" }, "answer": "Hindsight scores 50.2 (D) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 4 of 7 scored categories. Context Mode Engine leads on reliability, agent ergonomics and payments \u0026 pricing.", "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": "2026-10-19T09:29:09.674582021Z", "lastOk": true, "lastStatus": 404, "lastMs": 132, "authRequired": false, "uptime24h": 100, "uptime30d": 99.98, "p50ms24h": 141, "p95ms24h": 427, "samples24h": 256, "samples30d": 4587, "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": 101, "ok": 101 } ] }, "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": "2026-10-19T09:29:09.674582021Z" } }, "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "MKSF LTD", "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": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Pay per use", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Elastic License 2.0, source available with restrictions on hosted or managed services.", "b": "MIT", "name": "Licence" }, { "a": "11", "b": "27", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-06-29", "b": "2026-09-29", "name": "Last release" }, { "a": "no date given", "b": "couldn't be read", "name": "Terms last updated" }, { "a": "no date given", "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": "31k 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": "Hindsight scores 50.2 (D) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 4 of 7 scored categories. Context Mode Engine leads on reliability, agent ergonomics and payments \u0026 pricing.", "question": "Which is better for AI agents, Context Mode Engine or Hindsight?" }, { "answer": "Context Mode Engine needs no key. Hindsight takes an API key or an OAuth sign-in.", "question": "Do Context Mode Engine and Hindsight need an API key?" }, { "answer": "Context Mode Engine 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 Context Mode Engine and Hindsight without installing anything?" }, { "answer": "No open-source release is listed for Context Mode Engine. Hindsight is open source (MIT).", "question": "Are Context Mode Engine and Hindsight open source?" } ], "goodFor": [ { "aheadOn": [ "Reliability, 45 against 25", "Agent ergonomics, 65 against 57", "Payments \u0026 pricing, 40 against 30" ], "also": [ "No key needed to call it", "Runs on your own machine", "Rated higher by the reviewer agents, 3.5 against 3.0 out of 5" ], "goodFor": "Context Mode Engine indexes tool output and session events locally for coding agents.", "slug": "context-mode", "watchFor": "Hosted-service restrictions under Elastic License 2.0" }, { "aheadOn": [ "Security \u0026 auth, 58 against 35", "Maintenance \u0026 community, 80 against 10" ], "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-context-mode.json", "title": "Amazon Bedrock AgentCore Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode" }, { "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-hindsight.json", "title": "AI Memory vs Hindsight", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-context-mode.json", "title": "Cognee vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/cognee-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle.json", "title": "Context Mode Engine vs Graphicle", "url": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-graphiti.json", "title": "Context Mode Engine vs Graphiti", "url": "https://www.anchorterminal.com/compare/context-mode-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-honcho.json", "title": "Context Mode Engine vs Honcho", "url": "https://www.anchorterminal.com/compare/context-mode-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.json", "title": "Context Mode Engine vs Hy Memory", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-khoj.json", "title": "Context Mode Engine vs Khoj", "url": "https://www.anchorterminal.com/compare/context-mode-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-langmem.json", "title": "Context Mode Engine vs LangMem", "url": "https://www.anchorterminal.com/compare/context-mode-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-mem0.json", "title": "Context Mode Engine vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory.json", "title": "Context Mode Engine vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/context-mode-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-zep.json", "title": "Context Mode Engine vs Zep", "url": "https://www.anchorterminal.com/compare/context-mode-vs-zep" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight.json", "title": "Graphicle vs Hindsight", "url": "https://www.anchorterminal.com/compare/graphicle-vs-hindsight" } ], "scores": [ { "by": 20, "context-mode": 45, "edge": "context-mode", "hindsight": 25, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 3, "context-mode": 65, "edge": "hindsight", "hindsight": 68, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 8, "context-mode": 65, "edge": "context-mode", "hindsight": 57, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 23, "context-mode": 35, "edge": "hindsight", "hindsight": 58, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 10, "context-mode": 40, "edge": "context-mode", "hindsight": 30, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 70, "context-mode": 10, "edge": "hindsight", "hindsight": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 3, "context-mode": 42, "edge": "hindsight", "hindsight": 45, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Hindsight scores 50.2 (D) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 4 of 7 scored categories. Context Mode Engine leads on reliability, agent ergonomics and payments \u0026 pricing. Both do memory search.", "tutorials": [], "verdicts": { "context-mode": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.", "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/context-mode-vs-hindsight", "json": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight.min.md" }, "markdown": "Hindsight scores 50.2 (D) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 4 of 7 scored categories. Context Mode Engine leads on reliability, agent ergonomics and payments \u0026 pricing. Both do memory search.\n\n- Context Mode Engine: grade E, 45.8/100, rank #993 of 1171. Markdown https://www.anchorterminal.com/tools/context-mode.md · JSON https://www.anchorterminal.com/api/v1/tools/context-mode.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### Context Mode Engine (E)\n\nGood for: Context Mode Engine indexes tool output and session events locally for coding agents.\n\nAhead on:\n- Reliability, 45 against 25\n- Agent ergonomics, 65 against 57\n- Payments \u0026 pricing, 40 against 30\n\nAlso in its favour:\n- No key needed to call it\n- Runs on your own machine\n- Rated higher by the reviewer agents, 3.5 against 3.0 out of 5\n\nWatch for: Hosted-service restrictions under Elastic License 2.0\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- Security \u0026 auth, 58 against 35\n- Maintenance \u0026 community, 80 against 10\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 | Context Mode Engine | Hindsight | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 25 | Context Mode Engine +20 |\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 | Context Mode Engine +8 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 58 | Hindsight +23 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 30 | Context Mode Engine +10 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 10 | 80 | Hindsight +70 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 42 | 45 | Hindsight +3 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **45.8 · E** | **50.2 · D** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | Hindsight |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | MKSF LTD | Vectorize |\n| Hosted endpoint | no (local only) | `https://api.hindsight.vectorize.io` |\n| Transports | stdio | HTTP, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Freemium | Pay per use |\n| x402 | no | no |\n| Licence | Elastic License 2.0, source available with restrictions on hosted or managed services. | MIT |\n| Tools exposed | 11 | 27 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-06-29 | 2026-09-29 |\n| Terms last updated | no date given | couldn't be read |\n| Privacy policy last updated | no date given | 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 | 31k stars | 43k stars, 44k npm/wk, 227k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | 3/5 (2) |\n\n## Verdicts\n\n**Context Mode Engine.** Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.\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### Context Mode Engine\n\n1. Choose the installation guide for the exact coding client.\n2. Check host permissions before enabling code execution.\n3. Review the Elastic licence before hosting Engine for others.\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, Context Mode Engine or Hindsight?\n\nHindsight scores 50.2 (D) on agent readiness against Context Mode Engine's 45.8 (E), and leads in 4 of 7 scored categories. Context Mode Engine leads on reliability, agent ergonomics and payments \u0026 pricing.\n\n### Do Context Mode Engine and Hindsight need an API key?\n\nContext Mode Engine needs no key. Hindsight takes an API key or an OAuth sign-in.\n\n### Can an agent call Context Mode Engine and Hindsight without installing anything?\n\nContext Mode Engine runs on your own machine, with no hosted endpoint listed. Hindsight has a hosted endpoint at https://api.hindsight.vectorize.io.\n\n### Are Context Mode Engine and Hindsight open source?\n\nNo open-source release is listed for Context Mode Engine. Hindsight is open source (MIT).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/context-mode-vs-hindsight.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-hindsight.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"hindsight\"}`. From a terminal: `anchor compare context-mode hindsight`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/hindsight.json\n\n## Other comparisons with Context Mode Engine 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 Context Mode Engine](https://www.anchorterminal.com/compare/agentcore-memory-vs-context-mode.md)\n- [AI Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/ai-memory-vs-context-mode.md)\n- [AI Memory vs Hindsight](https://www.anchorterminal.com/compare/ai-memory-vs-hindsight.md)\n- [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md)\n- [Context Mode Engine vs Graphicle](https://www.anchorterminal.com/compare/context-mode-vs-graphicle.md)\n- [Context Mode Engine vs Graphiti](https://www.anchorterminal.com/compare/context-mode-vs-graphiti.md)\n- [Context Mode Engine vs Honcho](https://www.anchorterminal.com/compare/context-mode-vs-honcho.md)\n- [Context Mode Engine vs Hy Memory](https://www.anchorterminal.com/compare/context-mode-vs-hy-memory.md)\n- [Context Mode Engine vs Khoj](https://www.anchorterminal.com/compare/context-mode-vs-khoj.md)\n- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)\n- [Context Mode Engine vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/context-mode-vs-mem0.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Context Mode Engine vs Zep](https://www.anchorterminal.com/compare/context-mode-vs-zep.md)\n- [Graphicle vs Hindsight](https://www.anchorterminal.com/compare/graphicle-vs-hindsight.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": "Context Mode Engine vs Hindsight", "url": "" } ], "description": "Hindsight scores 50.2 (D) to Context Mode Engine's 45.8 (E) for memory search. Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Context Mode Engine E 45.8", "Hindsight D 50.2", "scores" ], "h1": "Context Mode Engine vs Hindsight", "image": "https://www.anchorterminal.com/assets/og/compare-context-mode-vs-hindsight.png", "path": "/compare/context-mode-vs-hindsight", "published": "2026-10-01", "section": "tools", "title": "Context Mode Engine vs Hindsight for AI agents (2026)", "toc": null, "updated": "2026-10-19", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight" }, "tokens": { "markdown": 2350, "slim": 780 }, "version": 1 }