{ "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", "dns": "context-mode.grade.anchorterminal.com", "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 24.15.0 or later. 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 a free plan of 1,000 requests every month with no card, then Pro from $20 a month for 10,000 requests, and Team at $50 a seat. Extra requests cost $2.00 to $1.00 per 1,000. 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": 9, "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": "2026-11-05", "graded": true, "anchor": { "graded": true, "score": 54.6, "grade": "C", "agentReady": false, "rank": 898, "ranked": true, "rankOf": 1486, "categoryRank": 17, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 80, "maintenance": 55, "payments": 40, "reliability": 60, "schema": 67, "security": 35, "transparency": 54 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-05" }, "negative": -2, "negativeNotes": [ "Current behaviour, checked 2026-11-05 in the source and docs. The Engine security page says all ten agents keep their own permission prompts and that the agent asks before each `ctx_execute` call. On Codex, the plugin's MCP config and `context-mode setup` set `default_tools_approval_mode` to `approve` for the server, and the server marks `ctx_execute` `readOnlyHint`, which the project's own source says lets the calls run where Codex would otherwise ask or refuse. A misleading claim on a security default, the minimum, -2. https://contextmode.ai/docs/engine/security.md; https://github.com/mksglu/context-mode/blob/main/src/core/contracts/constants.ts" ], "verdict": "Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.", "bestFor": "Coding-agent users who want large tool output kept out of the context window on their own machine.", "strengths": [ "Nine MCP tools with 4,330 characters of descriptions and capped replies", "Zero telemetry stated, with each network call listed and a source test that flags new ones", "Local data with stated retention and `ctx_purge` deletion by session, source or project", "Applies the user's Claude Code deny rules before its own", "Four stable releases on 4 and 5 November 2026" ], "weaknesses": [ "Elastic License 2.0, not an OSI licence, with hosted-service restrictions", "`ctx_execute` runs code as the user with no OS-level sandbox", "On Codex, setup pre-approves the server's tools and marks `ctx_execute` read-only, while the security page says the agent asks before each call. `ctx_purge` has no `destructiveHint`", "No security policy, security.txt or disclosure route", "No changelog file in the repository" ], "agentNotes": [ "Install Node 24.15.0 or later first. Version 2 no longer runs on Node 22", "Use the install command for the exact coding agent, then run `ctx_doctor`", "Keep the agent's permission prompts on. Code from `ctx_execute` runs as the user with full network access", "Call `ctx_purge` only when the user asks. It deletes for good", "Review the Elastic licence before hosting the Engine for others" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 4, "avgRating": 3.5, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "C", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 54.6 } ], "editorialScores": { "ergonomics": 80, "maintenance": 55, "payments": 40, "reliability": 60, "schema": 67, "security": 35, "transparency": 60 }, "provenanceScore": 47, "checked": { "categories": { "ergonomics": "2026-11-05", "maintenance": "2026-11-05", "payments": "2026-11-05", "reliability": "2026-11-05", "schema": "2026-11-05", "security": "2026-11-05", "transparency": "2026-11-05" }, "last": "2026-11-05", "lastMoved": "2026-11-05", "oldest": "2026-11-05", "stale": false, "staleAfterDays": 90 } }, "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": "none", "checked": "2026-11-05", "notes": [ "Assessment covers the named repository. No domain registration was verified.", "context-mode.com redirects to contextmode.ai, whose privacy page names MKSF LTD, London. No terms of service page is linked, so the licence stands in.", "contextmode.ai/.well-known/security.txt and context-mode.com/.well-known/security.txt answered 404 on 2026-11-05.", "status.contextmode.ai tracks the hosted Gateway, the console and the website, not the local Engine, so it isn't recorded as this listing's status page." ], "score": 47 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/context-mode.json", "live": { "slug": "context-mode", "versions": [ { "registry": "github", "name": "mksglu/context-mode", "version": "v2.1.5", "released": "2026-11-06", "seenAt": "2026-11-06T23:17:27.067023396Z" }, { "registry": "npm", "name": "context-mode", "version": "2.1.5", "seenAt": "2026-11-06T23:17:25.37565835Z" } ], "githubStars": 33610, "npmWeekly": 59093, "securityTxt": { "url": "https://context-mode.com/.well-known/security.txt", "state": "none", "checkedAt": "2026-11-07T16:00:47.297503037Z" }, "domain": { "domain": "context-mode.com", "registered": "2026-04-05", "source": "https://rdap.verisign.com/com/v1/domain/context-mode.com", "checkedAt": "2026-11-01T14:08:00.231323392Z" }, "pages": [ { "url": "https://context-mode.com/privacy", "kind": "privacy", "status": 404, "checkedAt": "2026-11-07T14:02:00.168804103Z", "changedAt": "2026-11-06T13:24:39.635899492Z", "fingerprint": "cea3aa6930f6" }, { "url": "https://raw.githubusercontent.com/mksglu/context-mode/main/LICENSE", "kind": "terms", "status": 304, "checkedAt": "2026-11-07T14:21:51.957180832Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "6f67d28523d4" } ], "github": { "repo": "mksglu/context-mode", "checkedAt": "2026-11-02T08:26:09.492583171Z", "stars": 33206, "archived": false, "issuesEnabled": false, "pushedAt": "2026-11-02T00:51:33Z", "openIssues": 0, "openPRs": 0, "issuesOpened90d": 0, "issuesClosed90d": 0, "prsMerged90d": 0, "ci": { "branch": "main", "runs": 50, "success": 50, "failure": 0, "other": 0, "latest": "success", "latestAt": "2026-06-29T18:20:12Z" } }, "updatedAt": "2026-11-07T16:00:47.297503037Z" } }, "answer": "EverOS scores 69.4 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories.", "b": { "slug": "everos", "name": "EverOS", "vendor": "Evermind AI, Inc.", "vendorUrl": "https://evermind.ai", "kind": "http-api", "category": "agent-memory", "summary": "EverOS, formerly EverMemOS, is EverMind's open-source memory runtime for agents. It stores conversations, files and agent trajectories as Markdown with SQLite and LanceDB indexes, behind a local HTTP API and MCP server, with a managed EverOS Cloud.", "url": "https://www.anchorterminal.com/tools/everos", "markdownUrl": "https://www.anchorterminal.com/tools/everos.md", "slimMarkdownUrl": "https://www.anchorterminal.com/tools/everos.min.md", "jsonUrl": "https://www.anchorterminal.com/api/v1/tools/everos.json", "dns": "everos.grade.anchorterminal.com", "repo": "https://github.com/EverMind-AI/EverOS", "license": "Apache-2.0", "transports": [ "http", "stdio" ], "packages": [ { "registry": "pypi", "name": "everos" }, { "registry": "pypi", "name": "everos-mcp" } ], "auth": "none", "authNotes": "The self-hosted server has no authentication and binds to 127.0.0.1:8000 by default. The owner supplies LLM and embedding provider keys in ~/.everos/everos.toml. EverOS Cloud uses a bearer API key from the console at everos.evermind.ai, and its hosted MCP connector signs in with an EverOS account.", "pricing": "freemium", "pricingNotes": "Free under Apache-2.0 to run locally, with LLM and embedding costs paid to the chosen provider. EverOS Cloud has a console and API keys, but no plan or price was found on evermind.ai or docs.evermind.ai.", "priceSummary": "Freemium", "where": "local", "x402": { "level": "no", "evidence": "No x402, MPP or L402 in the repository, the OpenAPI document, llms.txt or the docs (checked 2026-11-06).", "endpoints": [] }, "toolCount": 7, "popularity": { "githubStars": 13839, "npmWeekly": null, "pypiWeekly": 4033, "asOf": "2026-11-06" }, "docsUrl": "https://docs.evermind.ai", "llmsTxt": "https://docs.evermind.ai/llms.txt", "openapi": "https://github.com/EverMind-AI/EverOS/blob/main/docs/openapi.json", "capabilities": [ "memory.store", "memory.search", "memory.user", "memory.delete" ], "tags": [ "open-source", "self-hosted", "local", "hosted", "apache-2.0", "python", "mcp", "openapi", "llms-txt", "markdown", "no-auth" ], "lastRelease": "2026-10-22", "graded": true, "anchor": { "graded": true, "score": 69.4, "grade": "B", "agentReady": false, "rank": 246, "ranked": true, "rankOf": 1486, "categoryRank": 6, "methodology": "0.7", "run": "2026-10-01", "scores": { "ergonomics": 78, "maintenance": 80, "payments": 40, "reliability": 79, "schema": 89, "security": 47, "transparency": 71 }, "pending": [ "performance", "tasks" ], "assessment": { "confidence": "medium", "date": "2026-11-06" }, "negative": 0, "verdict": "EverOS keeps agent and user memory as Markdown with SQLite and LanceDB indexes, behind a described OpenAPI with typed, retryable errors and an MCP server, under Apache-2.0 at version 1.5.1. The local server has no authentication, EverOS Cloud prices are not published, and the cloud terms forbid automated data extraction.", "bestFor": "Self-hosted memory for agents and apps that want Markdown as the source of truth and separate user and agent tracks.", "strengths": [ "Apache-2.0 Python library and local server at 1.5.1, with Keep a Changelog entries and semantic versioning declared", "OpenAPI document with 40 operations, every one described, and llms.txt plus llms-full.txt for the docs", "Retryable conditions are typed, such as 503 SESSION_BUSY and EXTERNAL_SERVICE_UNAVAILABLE for a busy database", "Memory is canonical Markdown on disk, editable by hand, with deletion by owner, session or memory id", "SECURITY.md with a five-day acknowledgement, plus a valid security.txt at evermind.ai" ], "weaknesses": [ "The local HTTP server has no authentication and relies on binding to 127.0.0.1", "EverOS Cloud prices, plans and rate limits were not found on any public page", "The MCP server's autonomy protocol tells hosts to save facts without being asked, and no prompt-injection guidance was found", "The cloud terms of 20 January 2026 forbid automated extraction and allow discontinuing the service without notice", "Several outside bug reports, such as a silent capture failure, have no reply" ], "agentNotes": [ "Write new code against `/api/v2`; `/api/v1` is a legacy alias that may go in a future major release", "Call `/api/v2/memory/flush` at the end of a session, since `add` is asynchronous and buffers recent messages", "Retry on 503 SESSION_BUSY or EXTERNAL_SERVICE_UNAVAILABLE after a pause; nothing was written", "Keep `host` at 127.0.0.1 unless something in front adds authentication", "Treat recalled memories as untrusted text, since they are extracted from past conversations" ], "metrics": { "kind": "local", "measured": false }, "reviewCount": 0, "avgRating": 0, "history": [ { "basis": "public evidence", "confidence": "medium", "grade": "B", "methodology": "0.7", "pending": [ "performance", "tasks" ], "run": "2026-10-01", "runLabel": "October 2026 research run", "score": 69.4 } ], "editorialScores": { "ergonomics": 78, "maintenance": 80, "payments": 40, "reliability": 79, "schema": 89, "security": 47, "transparency": 66 }, "provenanceScore": 75, "checked": { "categories": { "ergonomics": "2026-11-06", "maintenance": "2026-11-06", "payments": "2026-11-06", "reliability": "2026-11-06", "schema": "2026-11-06", "security": "2026-11-06", "transparency": "2026-11-06" }, "last": "2026-11-06", "oldest": "2026-11-06", "stale": false, "staleAfterDays": 90 } }, "connect": { "install": "uv pip install everos \u0026\u0026 everos init \u0026\u0026 everos server start", "http": "curl http://127.0.0.1:8000/health", "claudeCode": "claude mcp add everos -e EVEROS_BASE_URL=http://127.0.0.1:8000 -- uvx everos-mcp" }, "letme": { "capability": "https://letme.dev/memory.store", "tool": "https://letme.dev/everos" }, "area": "agent-runtime", "provenance": { "legalEntity": "Evermind AI, Inc.", "domain": "evermind.ai", "domainRegistered": "2020-02-22", "endpointOnVendorDomain": null, "terms": "https://evermind.ai/terms-of-service", "privacy": "https://evermind.ai/privacy-policy", "statusPage": "", "changelog": "https://github.com/EverMind-AI/EverOS/blob/main/CHANGELOG.md", "securityTxt": "valid", "checked": "2026-11-06", "notes": [ "Terms and privacy policy both say last updated 20 January 2026 and name Evermind AI, Inc. The terms choose Singapore law and forbid extracting data by bots, scripts, crawlers or data-mining tools, recorded here as a fact.", "evermind.ai/robots.txt allows all crawlers and names Claude-Web and anthropic-ai as allowed. docs.evermind.ai carries Content-Signal ai-input=yes.", "RDAP gives evermind.ai a registration date of 22 February 2020.", "security.txt at evermind.ai/.well-known/ gives contact@evermind.ai and a policy URL, expiring 28 February 2027.", "The about page is drawn by script and returned no readable text." ], "score": 75 }, "pageJsonUrl": "https://www.anchorterminal.com/tools/everos.json", "live": { "slug": "everos", "versions": [ { "registry": "github", "name": "EverMind-AI/EverOS", "version": "v1.5.1", "released": "2026-10-22", "seenAt": "2026-11-06T23:24:44.540703115Z" }, { "registry": "pypi", "name": "everos", "version": "1.5.1", "released": "2026-10-22", "seenAt": "2026-11-06T23:24:41.488069905Z" }, { "registry": "pypi", "name": "everos-mcp", "version": "0.1.1", "released": "2026-10-15", "seenAt": "2026-11-06T23:24:42.65503941Z" } ], "githubStars": 13840, "pypiWeekly": 4033, "securityTxt": { "url": "https://evermind.ai/.well-known/security.txt", "state": "valid", "expires": "2027-02-28T00:00:00Z", "checkedAt": "2026-11-07T16:01:32.419431813Z" }, "llmsTxt": { "url": "https://docs.evermind.ai/llms.txt", "ok": true, "status": 200, "checkedAt": "2026-11-07T15:32:26.933711899Z" }, "pages": [ { "url": "https://raw.githubusercontent.com/EverMind-AI/EverOS/main/CHANGELOG.md", "kind": "changelog", "status": 200, "checkedAt": "2026-11-07T14:18:19.185692468Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "40ab92cf4d99" }, { "url": "https://evermind.ai/privacy-policy", "kind": "privacy", "status": 200, "checkedAt": "2026-11-07T14:09:24.819286526Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "dcd843ca72fe" }, { "url": "https://evermind.ai/terms-of-service", "kind": "terms", "status": 200, "checkedAt": "2026-11-07T14:09:28.72898661Z", "changedAt": "0001-01-01T00:00:00Z", "fingerprint": "009377ab61a3" } ], "updatedAt": "2026-11-07T16:01:32.419431813Z" } }, "edges": [ { "by": 25, "category": "maintenance", "leads": "everos", "name": "Maintenance \u0026 community", "reasons": { "a": "v2.1.0 tagged on 5 November 2026 by the release workflow, after v2.0.0, v2.0.1 and v2.0.2 on 4 November, and the README now names 2.0 as the npm latest (30). Four stable releases in the 90 days from 7 August. 2.0.1 only fixes release manifests, and 2.0.0, 2.0.2 and 2.1.0 change code (20). Issue and pull request replies weren't read, since GitHub's pages answer 403 (0). No official MCP registry entry read (0). CI on three systems and two Node lines, results unread (5 of 10). 30+20+0+0+5 = 55.", "b": "v1.5.1 on 22 October 2026 (30). Five tagged releases in 90 days and 12 PyPI uploads (20). Maintainer replies on some issues, others from outside users unanswered for weeks (12 of 25). Python library and the everos-mcp package, not in the official MCP registry (10 of 15). uv.lock, CI, docs and release workflows (8 of 10). Total 80." }, "scores": { "a": 55, "b": 80 } }, { "by": 22, "category": "schema", "leads": "everos", "name": "Schema \u0026 documentation", "reasons": { "a": "No published contract. The tool input schemas sit in the source, and the docs show them as a table (0 of 25). llms.txt and Markdown copies of every page on contextmode.ai (10). Each tool description says what it does and when to use it, for example `ctx_purge` \"Use it only when the user asks to forget or reset data\" (20). The tools reference lists each tool's inputs with optional fields and allowed values (`scope` session, worktree or project; `sort` relevance or timeline; `mode` upgrade or uninstall), and every tool rejects an unknown field with `UNKNOWN_FIELD` (12 of 15). Setup, doctor and troubleshooting pages with examples and fix lines (15). Tagged releases, without a readable changelog (10 of 15). 0+10+20+12+15+10 = 67.", "b": "OpenAPI document in the repository with 40 operations, every one with a description (25). llms.txt and llms-full.txt on docs.evermind.ai (10). Operation descriptions state purpose; when-not-to-use guidance appears in the docs, such as flush after add, rather than per operation (15 of 20). Typed request models with filter operators eq, ne, gt, gte, lt, lte and in, and 422 on malformed ids (12 of 15). curl examples for add, flush and search, and typed error codes such as SESSION_BUSY and EXTERNAL_SERVICE_UNAVAILABLE (12 of 15). `/api/v2` with `/api/v1` kept as a legacy alias, a changelog and release notes (15). Total 89." }, "scores": { "a": 67, "b": 89 } }, { "by": 19, "category": "reliability", "leads": "everos", "name": "Reliability", "reasons": { "a": "Read with the local-package lines. Installs from npm as `context-mode`, with Node 24.15.0 or later stated in package.json and the README (20). A public CI workflow runs the test gate on macOS, Linux and Windows under Node 24.15.0 and 26 on every push, and the release workflow runs it before each publish. GitHub's pages answer 403 in this session, so run results couldn't be read (15 of 25). Open crash and regression issues weren't read (0). Versioned releases, with 2.0.0 a major for the rewrite and 2.0.0-next prereleases from 27 October, but no changelog file in the repository and the GitHub release notes unread (10 of 15). Version 2.1.0, past 1.0 (15). 20+15+0+10+15 = 60.", "b": "Local-software lines, as a library and server the owner runs. `everos` on PyPI with Python 3.12 or newer stated, plus a Windows guide (20). ci.yml runs on pushes and pull requests and the repository has a tests tree, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 43 open issues and pull requests against 82 commits in 90 days; several outside bug reports, including a silent capture failure in the DSH plugin, have no reply (14 of 25). Keep a Changelog with semantic versioning declared and a 1.0 migration guide (15). Version 1.5.1 (15). Total 79." }, "scores": { "a": 60, "b": 79 } }, { "by": 17, "category": "transparency", "leads": "everos", "name": "Transparency \u0026 trust", "reasons": { "a": "Elastic License 2.0, source available but not an OSI licence, with limits on offering it as a hosted service (15). The Engine privacy page says data stays in `~/.context-mode`, gives retention (indexed items go after 30 days unread, 500 MB per project, idle projects after 14 days) and deletion by `ctx_purge`. The site privacy page is a summary for the Gateway that points to e-mail for the full policy (25 of 30). No deprecation policy or dated notices (0). The README and docs state zero telemetry and list each network call, with a source test that flags new call sites. We found no telemetry in the source (20). 15+25+0+20 = 60.", "b": "Apache-2.0 with a NOTICE file (30). Local data stays in the owner's Markdown and indexes. For the cloud, the privacy policy gives no retention periods, the terms and privacy policy word the training exceptions differently, and the privacy contact link points to a miromind.ai address (12 of 30). The README marks `/api/v1` as a legacy alias that may be removed in a future major release, and a 1.0 migration guide exists, with no notice period (14 of 20). No outbound telemetry was found in the source, and the docs don't address it (10 of 20). Total 66." }, "scores": { "a": 54, "b": 71 } }, { "by": 12, "category": "security", "leads": "everos", "name": "Security \u0026 auth", "reasons": { "a": "Read with the framework lines for a local MCP server. No credential of its own; code runs as the user under the agent's own permission checks (10). On Claude Code the PreToolUse hook applies the user's deny rules first, and `CONTEXT_MODE_REQUIRE_SECURITY=1` denies every call while a settings file is broken (15). `ctx_index` blocks private and link-local addresses when it fetches a URL, but no guidance on instructions inside fetched pages or tool output (0). Each project keeps a local session log of prompts, edits, commands and errors (10). No SECURITY.md, security.txt or disclosure route found, and no advisory names the package (0). 10+15+0+10+0 = 35.", "b": "Framework reading for software the owner runs. The local server has no authentication and no security scheme in the OpenAPI document, relying on a 127.0.0.1 bind by default (15 of 30). No read-only mode; the cloud purge is two-step (8 of 20). Memories are extracted from conversations and returned into prompts, and everos-mcp tells hosts to save facts unprompted, with no injection guidance found (4 of 15). Structured logs and lock metrics, no audit log (6 of 15). SECURITY.md with a reporting address, five-day acknowledgement, supported versions and a published-advisories section, plus a valid security.txt (14 of 20). Total 47." }, "scores": { "a": 35, "b": 47 } } ], "facts": [ { "a": "MCP server", "b": "HTTP API", "name": "Kind" }, { "a": "MKSF LTD", "b": "Evermind AI, Inc.", "name": "Vendor" }, { "a": "no (local only)", "b": "no (local only)", "name": "Hosted endpoint" }, { "a": "stdio", "b": "HTTP, stdio", "name": "Transports" }, { "a": "None", "b": "None", "name": "Auth" }, { "a": "Freemium", "b": "Freemium", "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": "9", "b": "7", "name": "Tools exposed" }, { "a": "no", "b": "no", "name": "Read-only variant documented" }, { "a": "no", "b": "yes", "name": "llms.txt" }, { "a": "2026-11-05", "b": "2026-10-22", "name": "Last release" }, { "a": "no date given", "b": "2026-01-20", "name": "Terms last updated" }, { "a": "no date given", "b": "2026-01-20", "name": "Privacy policy last updated" }, { "a": "not found in the text", "b": "yes", "name": "Customer content may train models" }, { "a": "not found in the text", "b": "yes", "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": "not found in the text", "name": "Arbitration or class-action waiver" }, { "a": "31k stars", "b": "14k stars, 4k PyPI/wk", "name": "Popularity" }, { "a": "3.5/5 (4)", "b": "none", "name": "Agent reviews" } ], "faq": [ { "answer": "EverOS scores 69.4 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories.", "question": "Which is better for AI agents, Context Mode Engine or EverOS?" }, { "answer": "Neither needs a key.", "question": "Do Context Mode Engine and EverOS need an API key?" }, { "answer": "Context Mode Engine runs on your own machine, with no hosted endpoint listed. EverOS runs on your own machine, with no hosted endpoint listed.", "question": "Can an agent call Context Mode Engine and EverOS without installing anything?" }, { "answer": "No open-source release is listed for Context Mode Engine. EverOS is open source (Apache-2.0).", "question": "Are Context Mode Engine and EverOS open source?" } ], "goodFor": [ { "aheadOn": null, "also": null, "goodFor": "Coding-agent users who want large tool output kept out of the context window on their own machine.", "slug": "context-mode", "watchFor": "Elastic License 2.0, not an OSI licence, with hosted-service restrictions" }, { "aheadOn": [ "Reliability, 79 against 60", "Schema \u0026 documentation, 89 against 67", "Security \u0026 auth, 47 against 35", "Maintenance \u0026 community, 80 against 55", "Transparency \u0026 trust, 71 against 54" ], "also": [ "Open source" ], "goodFor": "Self-hosted memory for agents and apps that want Markdown as the source of truth and separate user and agent tracks.", "slug": "everos", "watchFor": "The local HTTP server has no authentication and relies on binding to 127.0.0.1" } ], "history": { "context-mode": [ { "causes": [ "product", "evidence" ], "date": "2026-11-05", "delta": 8.4, "from": 46.2, "fromGrade": "D", "to": 54.6, "toGrade": "C" }, { "causes": [ "method" ], "date": "2026-10-27", "delta": 0.4, "from": 45.8, "fromGrade": "E", "to": 46.2, "toGrade": "D" } ], "everos": null }, "job": { "capability": "memory.search", "name": "Memory search" }, "others": [ { "json": "https://www.anchorterminal.com/compare/agentcore-memory-vs-everos.json", "title": "Amazon Bedrock AgentCore Memory vs EverOS", "url": "https://www.anchorterminal.com/compare/agentcore-memory-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-everos.json", "title": "Basic Memory vs EverOS", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-everos.json", "title": "claude-mem vs EverOS", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/cognee-vs-everos.json", "title": "Cognee vs EverOS", "url": "https://www.anchorterminal.com/compare/cognee-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.json", "title": "EverOS vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/everos-vs-google-memory-bank" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-graphicle.json", "title": "EverOS vs Graphicle", "url": "https://www.anchorterminal.com/compare/everos-vs-graphicle" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-graphiti.json", "title": "EverOS vs Graphiti", "url": "https://www.anchorterminal.com/compare/everos-vs-graphiti" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-hindsight.json", "title": "EverOS vs Hindsight", "url": "https://www.anchorterminal.com/compare/everos-vs-hindsight" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-honcho.json", "title": "EverOS vs Honcho", "url": "https://www.anchorterminal.com/compare/everos-vs-honcho" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-hy-memory.json", "title": "EverOS vs Hy Memory", "url": "https://www.anchorterminal.com/compare/everos-vs-hy-memory" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-langmem.json", "title": "EverOS vs LangMem", "url": "https://www.anchorterminal.com/compare/everos-vs-langmem" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-localghost.json", "title": "EverOS vs LocalGhost", "url": "https://www.anchorterminal.com/compare/everos-vs-localghost" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-mem0.json", "title": "EverOS vs Mem0 Platform + MCP", "url": "https://www.anchorterminal.com/compare/everos-vs-mem0" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memmachine.json", "title": "EverOS vs MemMachine", "url": "https://www.anchorterminal.com/compare/everos-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memori.json", "title": "EverOS vs Memori", "url": "https://www.anchorterminal.com/compare/everos-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-memory-reference-server.json", "title": "EverOS vs Memory (MCP reference server)", "url": "https://www.anchorterminal.com/compare/everos-vs-memory-reference-server" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-mempalace.json", "title": "EverOS vs MemPalace", "url": "https://www.anchorterminal.com/compare/everos-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-past-dev.json", "title": "EverOS vs past.dev", "url": "https://www.anchorterminal.com/compare/everos-vs-past-dev" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-supermemory.json", "title": "EverOS vs Supermemory API + MCP", "url": "https://www.anchorterminal.com/compare/everos-vs-supermemory" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-tencentdb-agent-memory.json", "title": "EverOS vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/everos-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-tokenrip.json", "title": "EverOS vs Tokenrip", "url": "https://www.anchorterminal.com/compare/everos-vs-tokenrip" }, { "json": "https://www.anchorterminal.com/compare/everos-vs-zep.json", "title": "EverOS vs Zep", "url": "https://www.anchorterminal.com/compare/everos-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-everos.json", "title": "AI Memory vs EverOS", "url": "https://www.anchorterminal.com/compare/ai-memory-vs-everos" }, { "json": "https://www.anchorterminal.com/compare/basic-memory-vs-context-mode.json", "title": "Basic Memory vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/basic-memory-vs-context-mode" }, { "json": "https://www.anchorterminal.com/compare/claude-mem-vs-context-mode.json", "title": "claude-mem vs Context Mode Engine", "url": "https://www.anchorterminal.com/compare/claude-mem-vs-context-mode" }, { "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-google-memory-bank.json", "title": "Context Mode Engine vs Agent Platform Memory Bank", "url": "https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank" }, { "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-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-memmachine.json", "title": "Context Mode Engine vs MemMachine", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memmachine" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-memori.json", "title": "Context Mode Engine vs Memori", "url": "https://www.anchorterminal.com/compare/context-mode-vs-memori" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-mempalace.json", "title": "Context Mode Engine vs MemPalace", "url": "https://www.anchorterminal.com/compare/context-mode-vs-mempalace" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-past-dev.json", "title": "Context Mode Engine vs past.dev", "url": "https://www.anchorterminal.com/compare/context-mode-vs-past-dev" }, { "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-tencentdb-agent-memory.json", "title": "Context Mode Engine vs TencentDB Agent Memory", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory" }, { "json": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.json", "title": "Context Mode Engine vs Tokenrip", "url": "https://www.anchorterminal.com/compare/context-mode-vs-tokenrip" }, { "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" } ], "panel": null, "scores": [ { "by": 19, "context-mode": 60, "edge": "everos", "everos": 79, "key": "reliability", "name": "Reliability", "weight": 16 }, { "key": "performance", "name": "Performance", "pending": true, "weight": 10 }, { "by": 22, "context-mode": 67, "edge": "everos", "everos": 89, "key": "schema", "name": "Schema \u0026 documentation", "weight": 13 }, { "by": 2, "context-mode": 80, "edge": "context-mode", "everos": 78, "key": "ergonomics", "name": "Agent ergonomics", "weight": 13 }, { "by": 12, "context-mode": 35, "edge": "everos", "everos": 47, "key": "security", "name": "Security \u0026 auth", "weight": 14 }, { "by": 0, "context-mode": 40, "edge": "", "everos": 40, "key": "payments", "name": "Payments \u0026 pricing", "weight": 10 }, { "key": "tasks", "name": "Task success", "pending": true, "weight": 10 }, { "by": 25, "context-mode": 55, "edge": "everos", "everos": 80, "key": "maintenance", "name": "Maintenance \u0026 community", "weight": 7 }, { "by": 17, "context-mode": 54, "edge": "everos", "everos": 71, "key": "transparency", "name": "Transparency \u0026 trust", "weight": 7 } ], "summary": "EverOS scores 69.4 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Both do memory search.", "tasks": null, "tutorials": [], "verdicts": { "context-mode": "Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.", "everos": "EverOS keeps agent and user memory as Markdown with SQLite and LanceDB indexes, behind a described OpenAPI with typed, retryable errors and an MCP server, under Apache-2.0 at version 1.5.1. The local server has no authentication, EverOS Cloud prices are not published, and the cloud terms forbid automated data extraction." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/compare/context-mode-vs-everos", "json": "https://www.anchorterminal.com/compare/context-mode-vs-everos.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/compare/context-mode-vs-everos.md", "mcp": "https://www.anchorterminal.com/mcp", "slim": "https://www.anchorterminal.com/compare/context-mode-vs-everos.min.md" }, "markdown": "EverOS scores 69.4 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories. Both do memory search.\n\n- Context Mode Engine: grade C, 54.6/100, rank #898 of 1486. Markdown https://www.anchorterminal.com/tools/context-mode.md · JSON https://www.anchorterminal.com/api/v1/tools/context-mode.json\n- EverOS: grade B, 69.4/100, rank #246 of 1486. Markdown https://www.anchorterminal.com/tools/everos.md · JSON https://www.anchorterminal.com/api/v1/tools/everos.json\n- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md\n- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md\n\n## Which one, for what\n\n### Context Mode Engine (C)\n\nGood for: Coding-agent users who want large tool output kept out of the context window on their own machine.\n\nWatch for: Elastic License 2.0, not an OSI licence, with hosted-service restrictions\n\n### EverOS (B)\n\nGood for: Self-hosted memory for agents and apps that want Markdown as the source of truth and separate user and agent tracks.\n\nAhead on:\n- Reliability, 79 against 60\n- Schema \u0026 documentation, 89 against 67\n- Security \u0026 auth, 47 against 35\n- Maintenance \u0026 community, 80 against 55\n- Transparency \u0026 trust, 71 against 54\n\nAlso in its favour:\n- Open source\n\nWatch for: The local HTTP server has no authentication and relies on binding to 127.0.0.1\n\n\n## Why the edge\n\n### Maintenance \u0026 community: EverOS +25\n\n- Context Mode Engine (55): v2.1.0 tagged on 5 November 2026 by the release workflow, after v2.0.0, v2.0.1 and v2.0.2 on 4 November, and the README now names 2.0 as the npm latest (30). Four stable releases in the 90 days from 7 August. 2.0.1 only fixes release manifests, and 2.0.0, 2.0.2 and 2.1.0 change code (20). Issue and pull request replies weren't read, since GitHub's pages answer 403 (0). No official MCP registry entry read (0). CI on three systems and two Node lines, results unread (5 of 10). 30+20+0+0+5 = 55.\n- EverOS (80): v1.5.1 on 22 October 2026 (30). Five tagged releases in 90 days and 12 PyPI uploads (20). Maintainer replies on some issues, others from outside users unanswered for weeks (12 of 25). Python library and the everos-mcp package, not in the official MCP registry (10 of 15). uv.lock, CI, docs and release workflows (8 of 10). Total 80.\n\n### Schema \u0026 documentation: EverOS +22\n\n- Context Mode Engine (67): No published contract. The tool input schemas sit in the source, and the docs show them as a table (0 of 25). llms.txt and Markdown copies of every page on contextmode.ai (10). Each tool description says what it does and when to use it, for example `ctx_purge` \"Use it only when the user asks to forget or reset data\" (20). The tools reference lists each tool's inputs with optional fields and allowed values (`scope` session, worktree or project; `sort` relevance or timeline; `mode` upgrade or uninstall), and every tool rejects an unknown field with `UNKNOWN_FIELD` (12 of 15). Setup, doctor and troubleshooting pages with examples and fix lines (15). Tagged releases, without a readable changelog (10 of 15). 0+10+20+12+15+10 = 67.\n- EverOS (89): OpenAPI document in the repository with 40 operations, every one with a description (25). llms.txt and llms-full.txt on docs.evermind.ai (10). Operation descriptions state purpose; when-not-to-use guidance appears in the docs, such as flush after add, rather than per operation (15 of 20). Typed request models with filter operators eq, ne, gt, gte, lt, lte and in, and 422 on malformed ids (12 of 15). curl examples for add, flush and search, and typed error codes such as SESSION_BUSY and EXTERNAL_SERVICE_UNAVAILABLE (12 of 15). `/api/v2` with `/api/v1` kept as a legacy alias, a changelog and release notes (15). Total 89.\n\n### Reliability: EverOS +19\n\n- Context Mode Engine (60): Read with the local-package lines. Installs from npm as `context-mode`, with Node 24.15.0 or later stated in package.json and the README (20). A public CI workflow runs the test gate on macOS, Linux and Windows under Node 24.15.0 and 26 on every push, and the release workflow runs it before each publish. GitHub's pages answer 403 in this session, so run results couldn't be read (15 of 25). Open crash and regression issues weren't read (0). Versioned releases, with 2.0.0 a major for the rewrite and 2.0.0-next prereleases from 27 October, but no changelog file in the repository and the GitHub release notes unread (10 of 15). Version 2.1.0, past 1.0 (15). 20+15+0+10+15 = 60.\n- EverOS (79): Local-software lines, as a library and server the owner runs. `everos` on PyPI with Python 3.12 or newer stated, plus a Windows guide (20). ci.yml runs on pushes and pull requests and the repository has a tests tree, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 43 open issues and pull requests against 82 commits in 90 days; several outside bug reports, including a silent capture failure in the DSH plugin, have no reply (14 of 25). Keep a Changelog with semantic versioning declared and a 1.0 migration guide (15). Version 1.5.1 (15). Total 79.\n\n### Transparency \u0026 trust: EverOS +17\n\n- Context Mode Engine (54): Elastic License 2.0, source available but not an OSI licence, with limits on offering it as a hosted service (15). The Engine privacy page says data stays in `~/.context-mode`, gives retention (indexed items go after 30 days unread, 500 MB per project, idle projects after 14 days) and deletion by `ctx_purge`. The site privacy page is a summary for the Gateway that points to e-mail for the full policy (25 of 30). No deprecation policy or dated notices (0). The README and docs state zero telemetry and list each network call, with a source test that flags new call sites. We found no telemetry in the source (20). 15+25+0+20 = 60.\n- EverOS (71): Apache-2.0 with a NOTICE file (30). Local data stays in the owner's Markdown and indexes. For the cloud, the privacy policy gives no retention periods, the terms and privacy policy word the training exceptions differently, and the privacy contact link points to a miromind.ai address (12 of 30). The README marks `/api/v1` as a legacy alias that may be removed in a future major release, and a 1.0 migration guide exists, with no notice period (14 of 20). No outbound telemetry was found in the source, and the docs don't address it (10 of 20). Total 66.\n\n### Security \u0026 auth: EverOS +12\n\n- Context Mode Engine (35): Read with the framework lines for a local MCP server. No credential of its own; code runs as the user under the agent's own permission checks (10). On Claude Code the PreToolUse hook applies the user's deny rules first, and `CONTEXT_MODE_REQUIRE_SECURITY=1` denies every call while a settings file is broken (15). `ctx_index` blocks private and link-local addresses when it fetches a URL, but no guidance on instructions inside fetched pages or tool output (0). Each project keeps a local session log of prompts, edits, commands and errors (10). No SECURITY.md, security.txt or disclosure route found, and no advisory names the package (0). 10+15+0+10+0 = 35.\n- EverOS (47): Framework reading for software the owner runs. The local server has no authentication and no security scheme in the OpenAPI document, relying on a 127.0.0.1 bind by default (15 of 30). No read-only mode; the cloud purge is two-step (8 of 20). Memories are extracted from conversations and returned into prompts, and everos-mcp tells hosts to save facts unprompted, with no injection guidance found (4 of 15). Structured logs and lock metrics, no audit log (6 of 15). SECURITY.md with a reporting address, five-day acknowledgement, supported versions and a published-advisories section, plus a valid security.txt (14 of 20). Total 47.\n\n## Score by category\n\n| Category | Weight | Context Mode Engine | EverOS | Edge |\n| --- | --- | --- | --- | --- |\n| Reliability | 16% (20 this run) | 60 | 79 | EverOS +19 |\n| Performance | 10%, pending | pending | pending | not scored in this run |\n| Schema \u0026 documentation | 13% (16.2 this run) | 67 | 89 | EverOS +22 |\n| Agent ergonomics | 13% (16.2 this run) | 80 | 78 | Context Mode Engine +2 |\n| Security \u0026 auth | 14% (17.5 this run) | 35 | 47 | EverOS +12 |\n| Payments \u0026 pricing | 10% (12.5 this run) | 40 | 40 | even |\n| Task success | 10%, pending | pending | pending | not scored in this run |\n| Maintenance \u0026 community | 7% (8.8 this run) | 55 | 80 | EverOS +25 |\n| Transparency \u0026 trust | 7% (8.8 this run) | 54 | 71 | EverOS +17 |\n| Negative events | ≤15 | -2 | 0 | |\n| **Total** | | **54.6 · C** | **69.4 · B** | |\n\n## Facts side by side\n\n| Fact | Context Mode Engine | EverOS |\n| --- | --- | --- |\n| Kind | MCP server | HTTP API |\n| Vendor | MKSF LTD | Evermind AI, Inc. |\n| Hosted endpoint | no (local only) | no (local only) |\n| Transports | stdio | HTTP, stdio |\n| Auth | None | None |\n| Pricing | Freemium | Freemium |\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 | 9 | 7 |\n| Read-only variant documented | no | no |\n| llms.txt | no | yes |\n| Last release | 2026-11-05 | 2026-10-22 |\n| Terms last updated | no date given | 2026-01-20 |\n| Privacy policy last updated | no date given | 2026-01-20 |\n| Customer content may train models | not found in the text | yes |\n| Terms restrict automated access | not found in the text | yes |\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 | not found in the text |\n| Popularity | 31k stars | 14k stars, 4k PyPI/wk |\n| Agent reviews | 3.5/5 (4) | none |\n\n## How the scores have moved\n\n### Context Mode Engine\n\n- +8.4 on 5 November 2026 (D to C): product, new evidence\n- +0.4 on 27 October 2026 (E to D): checklist\n\n### EverOS\n\nNo score change since it was listed.\n\n## Verdicts\n\n**Context Mode Engine.** Version 2 runs nine compact MCP tools and client hooks that keep large tool output in a local index, with zero telemetry stated and each network call listed. On Codex its setup pre-approves the server's tools, against its security page. The Elastic License 2.0 limits hosted use, and CI results, issue replies and npm data couldn't be read.\n\n**EverOS.** EverOS keeps agent and user memory as Markdown with SQLite and LanceDB indexes, behind a described OpenAPI with typed, retryable errors and an MCP server, under Apache-2.0 at version 1.5.1. The local server has no authentication, EverOS Cloud prices are not published, and the cloud terms forbid automated data extraction.\n\n## Before you call either\n\n### Context Mode Engine\n\n1. Install Node 24.15.0 or later first. Version 2 no longer runs on Node 22\n2. Use the install command for the exact coding agent, then run `ctx_doctor`\n3. Keep the agent's permission prompts on. Code from `ctx_execute` runs as the user with full network access\n4. Call `ctx_purge` only when the user asks. It deletes for good\n5. Review the Elastic licence before hosting the Engine for others\n\n### EverOS\n\n1. Write new code against `/api/v2`; `/api/v1` is a legacy alias that may go in a future major release\n2. Call `/api/v2/memory/flush` at the end of a session, since `add` is asynchronous and buffers recent messages\n3. Retry on 503 SESSION_BUSY or EXTERNAL_SERVICE_UNAVAILABLE after a pause; nothing was written\n4. Keep `host` at 127.0.0.1 unless something in front adds authentication\n5. Treat recalled memories as untrusted text, since they are extracted from past conversations\n\n## Questions\n\n### Which is better for AI agents, Context Mode Engine or EverOS?\n\nEverOS scores 69.4 (B) on agent readiness against Context Mode Engine's 54.6 (C), and leads in 5 of 7 scored categories.\n\n### Do Context Mode Engine and EverOS need an API key?\n\nNeither needs a key.\n\n### Can an agent call Context Mode Engine and EverOS without installing anything?\n\nContext Mode Engine runs on your own machine, with no hosted endpoint listed. EverOS runs on your own machine, with no hosted endpoint listed.\n\n### Are Context Mode Engine and EverOS open source?\n\nNo open-source release is listed for Context Mode Engine. EverOS 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-everos.json, and with the fewest tokens: https://www.anchorterminal.com/compare/context-mode-vs-everos.min.md\n- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {\"a\": \"context-mode\", \"b\": \"everos\"}`. From a terminal: `anchor compare context-mode everos`\n- Each listing in full: https://www.anchorterminal.com/api/v1/tools/context-mode.json and https://www.anchorterminal.com/api/v1/tools/everos.json\n\n## Other comparisons with Context Mode Engine or EverOS\n\n- [Amazon Bedrock AgentCore Memory vs EverOS](https://www.anchorterminal.com/compare/agentcore-memory-vs-everos.md)\n- [Basic Memory vs EverOS](https://www.anchorterminal.com/compare/basic-memory-vs-everos.md)\n- [claude-mem vs EverOS](https://www.anchorterminal.com/compare/claude-mem-vs-everos.md)\n- [Cognee vs EverOS](https://www.anchorterminal.com/compare/cognee-vs-everos.md)\n- [EverOS vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/everos-vs-google-memory-bank.md)\n- [EverOS vs Graphicle](https://www.anchorterminal.com/compare/everos-vs-graphicle.md)\n- [EverOS vs Graphiti](https://www.anchorterminal.com/compare/everos-vs-graphiti.md)\n- [EverOS vs Hindsight](https://www.anchorterminal.com/compare/everos-vs-hindsight.md)\n- [EverOS vs Honcho](https://www.anchorterminal.com/compare/everos-vs-honcho.md)\n- [EverOS vs Hy Memory](https://www.anchorterminal.com/compare/everos-vs-hy-memory.md)\n- [EverOS vs LangMem](https://www.anchorterminal.com/compare/everos-vs-langmem.md)\n- [EverOS vs LocalGhost](https://www.anchorterminal.com/compare/everos-vs-localghost.md)\n- [EverOS vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/everos-vs-mem0.md)\n- [EverOS vs MemMachine](https://www.anchorterminal.com/compare/everos-vs-memmachine.md)\n- [EverOS vs Memori](https://www.anchorterminal.com/compare/everos-vs-memori.md)\n- [EverOS vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/everos-vs-memory-reference-server.md)\n- [EverOS vs MemPalace](https://www.anchorterminal.com/compare/everos-vs-mempalace.md)\n- [EverOS vs past.dev](https://www.anchorterminal.com/compare/everos-vs-past-dev.md)\n- [EverOS vs Supermemory API + MCP](https://www.anchorterminal.com/compare/everos-vs-supermemory.md)\n- [EverOS vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/everos-vs-tencentdb-agent-memory.md)\n- [EverOS vs Tokenrip](https://www.anchorterminal.com/compare/everos-vs-tokenrip.md)\n- [EverOS vs Zep](https://www.anchorterminal.com/compare/everos-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 EverOS](https://www.anchorterminal.com/compare/ai-memory-vs-everos.md)\n- [Basic Memory vs Context Mode Engine](https://www.anchorterminal.com/compare/basic-memory-vs-context-mode.md)\n- [claude-mem vs Context Mode Engine](https://www.anchorterminal.com/compare/claude-mem-vs-context-mode.md)\n- [Cognee vs Context Mode Engine](https://www.anchorterminal.com/compare/cognee-vs-context-mode.md)\n- [Context Mode Engine vs Agent Platform Memory Bank](https://www.anchorterminal.com/compare/context-mode-vs-google-memory-bank.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 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 MemMachine](https://www.anchorterminal.com/compare/context-mode-vs-memmachine.md)\n- [Context Mode Engine vs Memori](https://www.anchorterminal.com/compare/context-mode-vs-memori.md)\n- [Context Mode Engine vs MemPalace](https://www.anchorterminal.com/compare/context-mode-vs-mempalace.md)\n- [Context Mode Engine vs past.dev](https://www.anchorterminal.com/compare/context-mode-vs-past-dev.md)\n- [Context Mode Engine vs Supermemory API + MCP](https://www.anchorterminal.com/compare/context-mode-vs-supermemory.md)\n- [Context Mode Engine vs TencentDB Agent Memory](https://www.anchorterminal.com/compare/context-mode-vs-tencentdb-agent-memory.md)\n- [Context Mode Engine vs Tokenrip](https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.md)\n- [Context Mode Engine vs Zep](https://www.anchorterminal.com/compare/context-mode-vs-zep.md)\n", "meta": { "attribution": "Anchor Terminal 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Prices, MCP, x402, uptime and agent notes side by side.", "facts": [ "Context Mode Engine C 54.6", "EverOS B 69.4", "scores" ], "h1": "Context Mode Engine vs EverOS", "image": "https://www.anchorterminal.com/assets/og/default.png", "path": "/compare/context-mode-vs-everos", "published": "2026-10-01", "section": "tools", "title": "Context Mode Engine vs EverOS for AI agents in 2026: scores and prices", "toc": null, "updated": "2026-11-07", "url": "https://www.anchorterminal.com/compare/context-mode-vs-everos" }, "tokens": { "markdown": 4500, "slim": 2230 }, "version": 1 }