{ "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": "Graphicle scores 69.8 (B) on agent readiness against Context Mode Engine's 45.8 (E), and leads in every scored category.", "b": { "slug": "graphicle", "name": "Graphicle", "vendor": "KarLex AI, Inc.", "vendorUrl": "https://www.karlex.ai/graphicle", "kind": "mcp", "category": "agent-memory", "summary": "Graphicle is an open-source Rust program that builds a code graph of a repository and keeps its documents, reviewed decisions and past coding-agent sessions, served to Claude Code, Codex, Cursor and other MCP clients as cited excerpts.", "url": "https://www.anchorterminal.com/tools/graphicle", "markdownUrl": "https://www.anchorterminal.com/tools/graphicle.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/graphicle.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/graphicle.json", "repo": "https://github.com/Graphicle-AI/graphicle", "license": "Apache-2.0", "transports": [ "stdio", "streamable-http" ], "packages": [], "auth": "mixed", "authNotes": "No account. The stdio server (`graphicle mcp`) runs with the owner key saved in the local data folder, which reads every project in the store. Over HTTP (`graphicle serve`, 127.0.0.1:8854 by default) each agent or person gets its own access key with a role, optional expiry and optional project list, sent as `Authorization: Bearer` or `X-Workspace-Capability`, never in the URL. Keys are stored as hashes and can be revoked.", "pricing": "free", "pricingNotes": "Free under Apache-2.0 for individuals and teams, with nothing to buy. A commercial edition for teams is in private preview with no published prices. Optional model calls (answers, memory extraction, full document extraction) are paid to the provider the owner configures, or run locally through Ollama.", "priceSummary": "Free · OSS", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the source, README, docs or karlex.ai (checked 2026-10-15). The software has no paid tier.", "endpoints": [] }, "toolCount": 25, "popularity": { "githubStars": 144, "npmWeekly": null, "pypiWeekly": null, "asOf": "2026-10-15" }, "docsUrl": "https://github.com/Graphicle-AI/graphicle/blob/main/docs/quickstart.md", "capabilities": [ "memory.search", "memory.graph", "memory.store", "memory.delete" ], "tags": [ "open-source", "local", "self-hosted", "free", "no-card", "apache-2.0", "rust", "mcp", "macos", "linux" ], "lastRelease": "2026-10-14", "graded": true, "anchor": { "graded": true, "score": 69.8, "grade": "B", "agentReady": false, "rank": 183, "ranked": true, "rankOf": 1171, "categoryRank": 3, "methodology": "0.4", "run": "2026-10-01", "scores": { "ergonomics": 86, "maintenance": 48, "payments": 60, "reliability": 63, "schema": 83, "security": 69, "transparency": 68 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-10-15" }, "negative": 0, "verdict": "One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.", "bestFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.", "strengths": [ "25 MCP tools with closed JSON Schema inputs, enums and limits, readOnlyHint on every read tool, and an idempotency key on `propose_memory`", "Recall returns excerpts with file, line range and hash, within a `max_tokens` budget, and `skip_shown` avoids resending excerpts", "Agent-proposed memories need verbatim quotes and a person's approval, and the MCP server has no tool that deletes or runs commands", "No telemetry or account. The source calls out only to models, connectors and GitHub that the owner configures", "Apache-2.0 with detailed NOTICE files, a SECURITY.md with private GitHub reporting and a valid security.txt at karlex.ai" ], "weaknesses": [ "One release, v0.1.0 on 14 October 2026, from a repository created that day", "The cargo-deny licence and advisory job failed on both pushes to main, though the test jobs passed on macOS and Linux", "The stdio server runs with the owner key, so its graph tools can read any project in the store unless an HTTP key is scoped", "SDKs are source-only, no llms.txt, not in the official MCP registry, and no native Windows build", "The team audit trail is in the commercial edition. Core shows usage counters and deletion receipts only" ], "agentNotes": [ "Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt", "Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project", "Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory", "Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it", "Over HTTP send the key as `Authorization: Bearer`, never in the URL, and on 429 wait for the Retry-After reset" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.8, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.4", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.8 } ], "editorialScores": { "ergonomics": 86, "maintenance": 48, "payments": 60, "reliability": 63, "schema": 83, "security": 69, "transparency": 71 }, "provenanceScore": 65 }, "connect": { "install": "brew install graphicle-ai/tap/graphicle \u0026\u0026 cd your-repo \u0026\u0026 graphicle setup", "claudeCode": "graphicle sync . \u0026\u0026 graphicle connect claude-code", "config": { "mcpServers": { "graphicle": { "args": [ "mcp", "--project", "PROJECT_ID" ], "command": "/full/path/to/graphicle" } } } }, "letme": { "capability": "https://letme.dev/memory.search", "tool": "https://letme.dev/graphicle" }, "area": "agent-runtime", "provenance": { "legalEntity": "KarLex AI, Inc.", "domain": "karlex.ai", "domainRegistered": "", "endpointOnVendorDomain": null, "terms": "https://www.karlex.ai/legal/terms", "privacy": "https://www.karlex.ai/legal/privacy", "statusPage": "", "changelog": "https://github.com/Graphicle-AI/graphicle/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-10-15", "notes": [ "The README and LICENSE read Copyright 2026 KarLex AI, Inc. karlex.ai names KarLex AI as the company behind Graphicle and links the graphicle-ai GitHub organisation, created on 29 September 2026.", "The terms of use and privacy policy at karlex.ai are dated 14 March 2025 and cover the website and its accounts, not the Graphicle software, which runs on the user's machine.", "karlex.ai/.well-known/security.txt names security@karlexai.com and expires on 7 April 2027 (read 15 October 2026). karlexai.com redirects to karlex.ai; RDAP at Verisign gives karlexai.com a registration date of 20 December 2023. The .ai registration date was not read.", "karlex.ai's robots.txt allows all crawlers.", "The software runs on the owner's machine, so there is no vendor endpoint or status page to check." ], "score": 65 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/graphicle.json", "live": { "slug": "graphicle", "versions": [ { "registry": "github", "name": "Graphicle-AI/graphicle", "version": "v0.1.2", "released": "2026-10-18", "seenAt": "2026-10-19T03:53:08.460628327Z" } ], "githubStars": 300, "securityTxt": { "url": "https://karlex.ai/.well-known/security.txt", "state": "valid", "expires": "2027-04-07T00:00:00.000Z", "checkedAt": "2026-10-18T15:54:03.359881145Z" }, "domain": { "domain": "karlex.ai", "registered": "2024-12-13", "source": "https://rdap.identitydigital.services/rdap/domain/karlex.ai", "checkedAt": "2026-10-18T13:41:45.689813631Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/Graphicle-AI/graphicle/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-10-18T23:36:29.673916702Z", "changedAt": "2026-10-18T23:36:29.673916702Z", "fingerprint": "0c0b578d167c" }, { "url": "https://www.karlex.ai/legal/privacy", "kind": "privacy", "status": 200, "checkedAt": "2026-10-18T23:44:51.716353663Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "a8953059470c" }, { "url": "https://www.karlex.ai/legal/terms", "kind": "terms", "status": 200, "checkedAt": "2026-10-18T23:44:53.929632002Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "c06219127676" } ], "github": { "repo": "graphicle-ai/graphicle", "checkedAt": "2026-10-19T06:15:02.961353325Z", "stars": 304, "archived": false, "issuesEnabled": true, "pushedAt": "2026-10-18T11:35:45Z", "openIssues": 0, "openPRs": 0, "issuesOpened90d": 1, "issuesClosed90d": 1, "prsMerged90d": 5, "ci": { "branch": "main", "runs": 10, "success": 5, "failure": 4, "other": 1, "latest": "success", "latestAt": "2026-10-18T12:00:45Z" } }, "updatedAt": "2026-10-19T06:15:02.961353325Z" } }, "facts": [ { "a": "MCP server", "b": "MCP server", "name": "Kind" }, { "a": "MKSF LTD", "b": "KarLex AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio", "b": "stdio, Streamable HTTP", "name": "Transports" }, { "a": "None", "b": "OAuth or key", "name": "Auth" }, { "a": "Freemium", "b": "Free", "name": "Pricing" }, { "a": "no", "b": "no", "name": "x402" }, { "a": "Elastic License 2.0, source available with restrictions on hosted or managed services.", "b": "Apache-2.0", "name": "Licence" }, { "a": "11", "b": "25", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "no", "name": "llms.txt" }, { "a": "2026-06-29", "b": "2026-10-14", "name": "Last release" }, { "a": "no date given", "b": "2025-03-14", "name": "Terms last updated" }, { "a": "no date given", "b": "2025-03-14", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes, with an opt-out", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "not found in the text", "name": "Terms restrict automated access" }, { "a": "not found in the text", "b": "yes", "name": "Terms restrict benchmarking" }, { "a": "not found in the text", "b": "yes", "name": "Terms or service can change without notice" }, { "a": "not found in the text", "b": "yes", "name": "Arbitration or class-action waiver" }, { "a": "31k stars", "b": "144 stars", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "3.8/5 (4)", "name": "Agent reviews" } ], "faq": [ { "answer": "Graphicle scores 69.8 (B) on agent readiness against Context Mode Engine's 45.8 (E), and leads in every scored category.", "question": "Which is better for AI agents, Context Mode Engine or Graphicle?" }, { "answer": "Context Mode Engine needs no key. Graphicle takes an API key or an OAuth sign-in.", "question": "Do Context Mode Engine and Graphicle need an API key?" }, { "answer": "Context Mode Engine runs on your own machine, with no hosted endpoint listed. Graphicle runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Context Mode Engine and Graphicle without installing anything?" }, { "answer": "No open-source release is listed for Context Mode Engine. Graphicle is open source (Apache-2.0).", "question": "Are Context Mode Engine and Graphicle open source?" } ], "goodFor": [ { "aheadOn": null, "also": [ "No key needed to call it" ], "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": [ "Reliability, 63 against 45", "Schema \u0026 documentation, 83 against 65", "Agent ergonomics, 86 against 65", "Security \u0026 auth, 69 against 35", "Payments \u0026 pricing, 60 against 40", "Maintenance \u0026 community, 48 against 10", "Transparency \u0026 trust, 68 against 42" ], "also": [ "Free to start without a card", "Open source" ], "goodFor": "A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.", "slug": "graphicle", "watchFor": "One release, v0.1.0 on 14 October 2026, from a repository created that day" } ], "job": { "capability": "memory.search", "name": "Memory search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.json", "title": "Amazon Bedrock AgentCore Memory vs Graphicle", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-graphicle.json", "title": "Cognee vs Graphicle", "url": "https://www.anchorterminal.com/compare/cognee-vs-graphicle" }, { "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-graphicle.json", "title": "AI Memory vs Graphicle", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-graphicle" }, { "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-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-hindsight.json", "title": "Context Mode Engine vs Hindsight", "url": "https://www.anchorterminal.com/compare/context-mode-vs-hindsight" }, { "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-graphiti.json", "title": "Graphicle vs Graphiti", "url": "https://www.anchorterminal.com/compare/graphicle-vs-graphiti" }, { "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/graphicle-vs-honcho.json", "title": "Graphicle vs Honcho", "url": "https://www.anchorterminal.com/compare/graphicle-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.json", "title": "Graphicle vs Hy Memory", "url": "https://www.anchorterminal.com/compare/graphicle-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-khoj.json", "title": "Graphicle vs Khoj", "url": "https://www.anchorterminal.com/compare/graphicle-vs-khoj" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-langmem.json", "title": "Graphicle vs LangMem", "url": "https://www.anchorterminal.com/compare/graphicle-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-mem0.json", "title": "Graphicle vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory.json", "title": "Graphicle vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/graphicle-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/graphicle-vs-zep.json", "title": "Graphicle vs Zep", "url": "https://www.anchorterminal.com/compare/graphicle-vs-zep" } ], "scores": [ { "by": 18, "context-mode": 45, "edge": "graphicle", "graphicle": 63, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 18, "context-mode": 65, "edge": "graphicle", "graphicle": 83, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 21, "context-mode": 65, "edge": "graphicle", "graphicle": 86, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 34, "context-mode": 35, "edge": "graphicle", "graphicle": 69, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 20, "context-mode": 40, "edge": "graphicle", "graphicle": 60, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 38, "context-mode": 10, "edge": "graphicle", "graphicle": 48, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 26, "context-mode": 42, "edge": "graphicle", "graphicle": 68, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "Graphicle scores 69.8 (B) on agent readiness against Context Mode Engine's 45.8 (E), and leads in every scored category. Both do memory search.", "tutorials": [], "verdicts": { "context-mode": "Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.", "graphicle": "One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle", "json": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/context-mode-vs-graphicle.min.md" }, "markdown": "Graphicle scores 69.8 (B) on agent readiness against Context Mode Engine's 45.8 (E), and leads in every scored category. 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- Graphicle: grade B, 69.8/100, rank #183 of 1171. Markdown https://www.anchorterminal.com/tools/graphicle.md · JSON https://www.anchorterminal.com/api/v1/tools/graphicle.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\nAlso in its favour:\n- No key needed to call it\n\nWatch for: Hosted-service restrictions under Elastic License 2.0\n\n### Graphicle (B)\n\nGood for: A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.\n\nAhead on:\n- Reliability, 63 against 45\n- Schema \u0026 documentation, 83 against 65\n- Agent ergonomics, 86 against 65\n- Security \u0026 auth, 69 against 35\n- Payments \u0026 pricing, 60 against 40\n- Maintenance \u0026 community, 48 against 10\n- Transparency \u0026 trust, 68 against 42\n\nAlso in its favour:\n- Free to start without a card\n- Open source\n\nWatch for: One release, v0.1.0 on 14 October 2026, from a repository created that day\n\n\n## Score by category\n\n| Category | Weight | Context Mode Engine | Graphicle | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 45 | 63 | Graphicle +18 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 65 | 83 | Graphicle +18 |\n| Agent ergonomics | 13% (16.2 this run) | 65 | 86 | Graphicle +21 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 69 | Graphicle +34 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 60 | Graphicle +20 |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 10 | 48 | Graphicle +38 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 42 | 68 | Graphicle +26 |\n| Negative events | ≤15 | 0 | 0 | |\n| **Total** | | **45.8 · E** | **69.8 · B** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | Graphicle |\n| --- | --- | --- |\n| Kind | MCP server | MCP server |\n| Vendor | MKSF LTD | KarLex AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio | stdio, Streamable HTTP |\n| Auth | None | OAuth or key |\n| Pricing | Freemium | Free |\n| x402 | no | no |\n| Licence | Elastic License 2.0, source available with restrictions on hosted or managed services. | Apache-2.0 |\n| Tools exposed | 11 | 25 |\n| Read-only variant documented | no | no |\n| llms.txt | no | no |\n| Last release | 2026-06-29 | 2026-10-14 |\n| Terms last updated | no date given | 2025-03-14 |\n| Privacy policy last updated | no date given | 2025-03-14 |\n| Customer content may train models | not found in the text | yes, with an opt-out |\n| Terms restrict automated access | not found in the text | not found in the text |\n| Terms restrict benchmarking | not found in the text | yes |\n| Terms or service can change without notice | not found in the text | yes |\n| Arbitration or class-action waiver | not found in the text | yes |\n| Popularity | 31k stars | 144 stars |\n| Agent reviews | 3.5/5 (4) | 3.8/5 (4) |\n\n## Verdicts\n\n**Context Mode Engine.** Local indexing and selective retrieval. Hosted-service restrictions under Elastic License 2.0.\n\n**Graphicle.** One local program gives a coding agent a code graph and project memory through 25 typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It is one day old at version 0.1.0, its SDKs are not on any registry, and the licence and advisory check fails on main.\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### Graphicle\n\n1. Call `recall_project` with a `max_tokens` budget, then `read_project_source` with the cited id and byte offset to continue a cut excerpt\n2. Use `query_graph`, `get_neighbors` and `shortest_path` for structure questions, and pass `repo` to reach another synced project\n3. Treat proposed memories as drafts. They are not served until a person approves them in `graphicle open` under Memory\n4. Ask the user before running `graphicle setup`, which edits agent settings, AGENTS.md and Git hooks, and use `graphicle disconnect` to undo it\n5. Over HTTP send the key as `Authorization: Bearer`, never in the URL, and on 429 wait for the Retry-After reset\n\n## Questions\n\n### Which is better for AI agents, Context Mode Engine or Graphicle?\n\nGraphicle scores 69.8 (B) on agent readiness against Context Mode Engine's 45.8 (E), and leads in every scored category.\n\n### Do Context Mode Engine and Graphicle need an API key?\n\nContext Mode Engine needs no key. Graphicle takes an API key or an OAuth sign-in.\n\n### Can an agent call Context Mode Engine and Graphicle without installing anything?\n\nContext Mode Engine runs on your own machine, with no hosted endpoint listed. Graphicle runs on your own machine, with no hosted endpoint listed.\n\n### Are Context Mode Engine and Graphicle open source?\n\nNo open-source release is listed for Context Mode Engine. Graphicle is open source (Apache-2.0).\n\n\n## For agents\n\n- This comparison as JSON: https://www.anchorterminal.com/compare/context-mode-vs-graphicle.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-graphicle.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"graphicle\"}`. From a terminal: `anchor compare context-mode graphicle`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/graphicle.json\n\n## Other comparisons with Context Mode Engine or Graphicle\n\n- [Amazon Bedrock AgentCore Memory vs Graphicle](https://www.anchorterminal.com/compare/agentcore-memory-vs-graphicle.md)\n- [Cognee vs Graphicle](https://www.anchorterminal.com/compare/cognee-vs-graphicle.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 Graphicle](https://www.anchorterminal.com/compare/ai-memory-vs-graphicle.md)\n- [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md)\n- [Context Mode Engine vs Graphiti](https://www.anchorterminal.com/compare/context-mode-vs-graphiti.md)\n- [Context Mode Engine vs Hindsight](https://www.anchorterminal.com/compare/context-mode-vs-hindsight.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 Graphiti](https://www.anchorterminal.com/compare/graphicle-vs-graphiti.md)\n- [Graphicle vs Hindsight](https://www.anchorterminal.com/compare/graphicle-vs-hindsight.md)\n- [Graphicle vs Honcho](https://www.anchorterminal.com/compare/graphicle-vs-honcho.md)\n- [Graphicle vs Hy Memory](https://www.anchorterminal.com/compare/graphicle-vs-hy-memory.md)\n- [Graphicle vs Khoj](https://www.anchorterminal.com/compare/graphicle-vs-khoj.md)\n- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)\n- [Graphicle vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/graphicle-vs-mem0.md)\n- [Graphicle vs Supermemory API + MCP](https://www.anchorterminal.com/compare/graphicle-vs-supermemory.md)\n- [Graphicle vs Zep](https://www.anchorterminal.com/compare/graphicle-vs-zep.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 Graphicle", "url": "" } ], "description": "Graphicle scores 69.8 (B) to Context Mode Engine's 45.8 (E) for memory search. 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