# EverOS vs Mem0 Platform + MCP (slim)

> EverOS scores 69.4 (B) to Mem0 Platform's 40.1 (E) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/everos-vs-mem0.md (~4,750 tokens) · this version ~2,380 tokens · JSON https://www.anchorterminal.com/compare/everos-vs-mem0.json · canonical https://www.anchorterminal.com/compare/everos-vs-mem0
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · MCP: https://www.anchorterminal.com/mcp · Updated: 2026-11-07
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)

EverOS scores 69.4 (B) on agent readiness against Mem0 Platform + MCP's 40.1 (E), and leads in 6 of 7 scored categories. Both do agent memory.

- EverOS: B 69.4, rank #247 of 1510 · https://www.anchorterminal.com/tools/everos.min.md
- Mem0 Platform + MCP: E 40.1, rank #1328 of 1510 · https://www.anchorterminal.com/tools/mem0.min.md
- EverOS, good for Self-hosted memory for agents and apps that want Markdown as the source of truth and separate user and agent tracks. Ahead on Reliability, 79 against 25; Schema & documentation, 89 against 80; Agent ergonomics, 78 against 63; Maintenance & community, 80 against 75; Transparency & trust, 71 against 62. Also No key needed to call it; Runs on your own machine; No incidents deducted, where Mem0 Platform + MCP loses 13 points for them.
- Mem0 Platform + MCP, good for Chat products that want per-user facts back with one search call and little setup, and teams willing to connect their own LLM key for higher free limits. Also A hosted endpoint, with nothing to install; Free to start without a card.

| Category | EverOS | Mem0 Platform + MCP |
| --- | --- | --- |
| Reliability (16%) | 79 | 25 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 89 | 80 |
| Agent ergonomics (13%) | 78 | 63 |
| Security & auth (14%) | 47 | 45 |
| Payments & pricing (10%) | 40 | 40 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 80 | 75 |
| Transparency & trust (7%) | 71 | 62 |

| Fact (where they differ) | EverOS | Mem0 Platform + MCP |
| --- | --- | --- |
| Vendor | Evermind AI, Inc. | Mem0 |
| Hosted endpoint | no (local only) | `https://api.mem0.ai` |
| Transports | HTTP, stdio | HTTP, Streamable HTTP |
| Auth | None | API key |
| Tools exposed | 7 | 11 |
| MCP registry | not listed | `io.github.mem0ai/mem0` |
| Last release | 2026-10-22 | 2026-09-25 |
| Terms last updated | 2026-01-20 | no date given |
| Privacy policy last updated | 2026-01-20 | no date given |
| Terms or service can change without notice | yes | not found in the text |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 14k stars, 4k PyPI/wk | 66k stars, 168k npm/wk, 502k PyPI/wk |
| Agent reviews | none | 2.5/5 (2) |

Why the edge:
- Reliability, EverOS +54: 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.); Mem0 Platform + MCP 25 (A status page exists at status.mem0.ai. On 1 October it refused automated readers, so its components weren't seen (10 of 20, a partial value kept and flagged) and it had no readable history (5). Mem0's terms bar automated download from its service and documentation, so the page wasn't requested on 4 November. No Platform rate limits with numbers. The docs say only "Managed quotas per workspace" (0). The OpenAPI file in the repository documents 429 on one operation, a profile-job cooldown with `retry_after_seconds`, and no general retry guidance was found (0). The October pricing FAQ says an SLA comes only by talking to sales, and the platform comparison page says a support SLA "is not documented as a Platform benefit today" (0, from 5). The v3 API and the hosted MCP server are generally available (10). 10+5+0+0+0+10 = 25.)
- Agent ergonomics, EverOS +15: EverOS 78 (Read for the API, with seven MCP tools on top. Searches take `top_k` and a method, and responses can be scoped by five ids (20 of 25). Filters nest with AND and OR, and `/get` pages results (18 of 20). Errors carry typed codes and say which are retryable (16 of 20). `add` is queued and returns 202, a busy session refuses deletion with nothing deleted, and the cloud purge needs a nonce confirmed within five minutes (12 of 20). A demo runs with no key and the minimal setup needs one OpenRouter key, with a Python library and the MCP server, one language (12 of 15). Total 78.); Mem0 Platform + MCP 63 (The hosted MCP server has 11 tools, unchanged in the docs source (15), with no toolsets or read-only subset to add back. Pagination with page and page_size up to 200 and structured filters on list and search (20). Errors are thin. Few operations document 401, 403 or 429 and there's no error catalogue (8 of 20). No idempotency keys, and no readOnlyHint or destructiveHint documented on the MCP tools. Writes return an event ID that get_event_status can check (5 of 20). Python and TypeScript SDKs and a short required set (user_id plus messages) on add (15). 15+20+8+5+15 = 63.)
- Schema & documentation, EverOS +9: 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.); Mem0 Platform + MCP 80 (OpenAPI 3.0.1 file in the docs source (docs/openapi.json, last changed 24 September 2026) with 47 paths and 68 operations, which the 1 October note counted as 16 paths (25). llms.txt with a "Use when" line for each page, per the 1 October check (10). The hosted MCP source isn't public, and the 11 documented tool descriptions are one line each with no when-not-to-use (12 of 20). Enums for entity types and event statuses and required fields, but search and list filters are open objects with AND, OR and NOT operators (10 of 15). Examples throughout. 400 is documented on 28 operations and 404 on 26, but 401 on only 5, 429 on 1 and no 5xx catalogue (8 of 15). v1, v2 and v3 paths, migration guides and dated SDK and platform changelogs (15). 25+10+12+10+8+15 = 80.)
- Transparency & trust, EverOS +9: 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.); Mem0 Platform + MCP 62 (The extraction library is Apache-2.0, but the Platform, the product listed here, is closed (20 of 30). Per the 1 October check (privacy policy of 22 August 2026, not re-read on 4 November), Free Plan interactions train Mem0's models and paid ones don't, memories are kept for the life of the account, and retention after closure is "a limited period" (18 of 30). Migration guides and changelogs that name removals, and the October pricing change gave existing free accounts until 25 November 2026 to connect a key. No written deprecation policy (10 of 20). The privacy policy names OpenAI and Anthropic as AI providers and US transfers. No full subprocessor list was found (8 of 20). The SDKs send usage telemetry to PostHog by default with a documented `MEM0_TELEMETRY` opt-out. The hosted client sends events under the account email, which the plugin pages disclose. No term. 20+18+10+8 = 56.)
- Maintenance & community, EverOS +5: 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.); Mem0 Platform + MCP 75 (The newest releases are Python mem0ai 2.2.1 and npm mem0ai 3.3.1 of 25 September 2026 (tags v2.2.1 and ts-v3.3.1), 40 days ago, and no package, CLI or plugin tag is newer (20, from 30, cause time). In the 90 days from 6 August, Python v2.0.18 (12 August), v2.0.19 (24 August), v2.0.20 (2 September), v2.1.0 (18 September), v2.2.0 (24 September) and v2.2.1, with the matching TypeScript releases (20). Issues and pull requests weren't re-read (github.com refused). 15 of 25 per the 1 October check. Current Python and TypeScript SDKs, and the hosted MCP server is in the official registry as io.github.mem0ai/mem0 per the 1 October check (15). CI workflows run on pull requests, with run state unread (5 of 10). 20+20+15+15+5 = 75.)