Head to head · Agent memory · October 2026 research run
EverOS vs Graphicle
Graphicle scores 70.6 (BB) on agent readiness against EverOS's 69.4 (B), and leads in 4 of 7 scored categories. EverOS leads on reliability and schema & documentation. Both do agent memory.
Best memory layers for AI agents · All 353 memory comparisons
Which one, for what
EverOS B
Best 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 63
- Schema & documentation, 89 against 83
Also in its favour
- No key needed to call it
Watch for
The local HTTP server has no authentication and relies on binding to 127.0.0.1
Graphicle BB
Best for A developer who wants one local tool that gives Claude Code, Codex or Cursor both code structure and project memory with citations.
Ahead on
- Agent ergonomics, 85 against 78
- Security & auth, 67 against 47
- Payments & pricing, 60 against 40
Also in its favour
- Agent-ready, a grade of BB or better
- Free to start without a card
Watch for
Version 0.1.10, about two weeks old, with stored-data changes shipped in patch releases
Why the edge
Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.
Security & auth Graphicle +20
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.
Graphicle 67
Read with the API checklist for a server the owner runs, as for Cognee and Graphiti. Over HTTP each person or agent gets its own key with a role, optional expiry and optional project list, stored as a hash, revocable, and sent in a header with the docs saying never in the URL. The stdio server runs with the owner key, which can read every project, and its graph tools take repo to reach other projects (24 of 30). The MCP server has no delete or command tool, agent writes are drafts that a person approves, and --tools and per-key project revocation narrow access. No approval step is needed because nothing destructive is exposed (18 of 20). Recall returns documents, connector content and captured sessions, which can carry injected text. Server instructions say memory is evidence, not tool permission, drafts need verbatim quotes, and capture redacts credentials and drops <private> spans. No general prompt-injection guidance found (9 of 15). Workspace usage counters, workflow_status and hash-chained deletion receipts, while the team audit trail belongs to the commercial edition (6 of 15). SECURITY.md with private reporting through GitHub advisories, a security.txt at karlex.ai valid to 7 April 2027 (re-read on 1 November), a cargo-deny advisory check in CI that failed on 15 October, and ### Security sections in the 0.1.6 and 0.1.7 changelog entries. No bug bounty or certification, and the changelog names no advisory for the 0.1.7 fixes (10 of 20). 24+18+9+6+10 = 67.
Payments & pricing Graphicle +20
EverOS 40
Self-hosted rule, with the price lines read for EverOS Cloud. No x402, MPP or L402 (0 of 40). No cloud price or plan found on evermind.ai, its FAQ, terms or docs (0). The open-source runtime is free with no card (20). An agent can install it from PyPI and run it with no account (20). Total 40.
Graphicle 60
No payment protocol (0). Read with the self-hosted rule. Free under Apache-2.0 with nothing to buy (20). No card or account (20). An agent can install it and run graphicle setup --yes with no signup, as the README suggests (20). The commercial team edition is still in private preview with no prices on karlex.ai on 1 November, so there is no paid option to score. 0+20+20+20 = 60.
Reliability EverOS +16
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.
Graphicle 63
Read as local software. Installs from an official Homebrew tap, an install script that checks each archive's SHA-256, or release archives, with macOS and Linux (glibc) on arm64 and x86_64 stated, and since 0.1.5 a Windows preview build that isn't code-signed. No language package registry (20). A public CI workflow formats, lints and tests each of the three crates on macOS and Linux. On 15 October every test job passed on both pushes to main and the cargo-deny job for licences, advisories and sources failed; 0.1.7 (25 October) replaced a yanked crate that cargo-deny warned about, but GitHub's Actions pages weren't readable on 1 November, so the runs are per the 15 October check (18). Outside reports and fixes have been handled in releases (issue #8 on kubernetes speed, pull requests #9 and #10 in 0.1.6 and 0.1.7), but the open issue list couldn't be read on 1 November, so the record is still too thin to judge (15). A dated changelog with eleven releases, each with an "After upgrading" section that names the steps a release needs (re-sync, memories that go stale), but large additions and stored-data changes ship in 0.1.x patch bumps (10). Version 0.1.10, not declared stable (0). 20+18+15+10+0 = 63.
Agent ergonomics Graphicle +7
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.
Graphicle 85
25 tools with memory proposals on, about 24,600 characters of definitions in the v0.1.10 fixture (15). --tools essentials serves five tools (recall_project, read_project_source, query_graph, get_node, get_neighbors, about 7,400 characters) and is what graphicle setup gives Claude Code; --tools graph or --tools memory serves one half, and leaving out --allow-learning leaves only read tools plus graph_link (10 added back, up from 7 on 15 October, for the essentials set). recall_project takes max_tokens or max_chars, include prefixes and skip_shown, query_graph takes token_budget and depth, and list_projects pages with offset and limit (20). Over-limit projects are refused with a message naming the limit and its setting, 409 marks a stale revision and 429 carries Retry-After, and since 0.1.7 the Python SDK keeps retry_after on its error. MCP error shapes are not documented (12 of 20). 21 tools carry readOnlyHint true and 4 false, all with idempotentHint true and destructiveHint false, there are no destructive tools, and propose_memory requires an idempotency_key that replays the same proposal (20). Only question is required on recall and graph queries. Python and TypeScript SDKs exist, at 0.1.10, but install only from source (8 of 15). 25+20+12+20+8 = 85.
Schema & documentation EverOS +6
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.
Graphicle 83
Every MCP tool has a JSON Schema input with additionalProperties: false and required fields marked, read from the tool list fixtures in the repository at v0.1.10 (25). No llms.txt. The docs are Markdown files in the repository that an agent can read raw (5 of 10). Server instructions say which tool to use for structure and which for what the project says, recall_project says when to leave the reranker off, and memory tools explain draft review, while graph tools such as query_graph carry one-line descriptions (14 of 20). Enums on mode, pack_order, memory kind and state, length and item limits, minimum values and closed nested objects (14 of 15). Examples throughout the docs. The OpenAPI file documents 400, 403, 409 and 429 for the HTTP API and limit errors name the setting to change, but MCP error results are not catalogued (10 of 15). A dated changelog, semver crate versions and /v1 paths (15). 25+5+14+14+10+15 = 83.
Score by category
| Category | Weight this run | EverOS | Graphicle | Edge |
|---|---|---|---|---|
| Reliability | 16%20 | 79 | 63 | EverOS +16 |
| Performance | 10%pending | pending | pending | not scored in this run |
| Schema & documentation | 13%16.2 | 89 | 83 | EverOS +6 |
| Agent ergonomics | 13%16.2 | 78 | 85 | Graphicle +7 |
| Security & auth | 14%17.5 | 47 | 67 | Graphicle +20 |
| Payments & pricing | 10%12.5 | 40 | 60 | Graphicle +20 |
| Task success | 10%pending | pending | pending | not scored in this run |
| Maintenance & community | 7%8.8 | 80 | 83 | Graphicle +3 |
| Transparency & trust | 7%8.8 | 71 | 71 | even |
| Negative events | ≤15 | 0 | -2 | |
| Total | B 69.4/100 | BB 70.6/100 |
Facts side by side
| Fact | EverOS | Graphicle |
|---|---|---|
| Kind | HTTP API | MCP server |
| Vendor | Evermind AI, Inc. | KarLex AI, Inc. |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | HTTP, stdio | stdio, Streamable HTTP |
| Auth | None | OAuth or key |
| Pricing | Freemium | Free |
| x402 | no | no |
| Licence | Apache-2.0 | Apache-2.0 |
| Tools exposed | 7 | 25 |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| MCP registry | not listed | io.github.Graphicle-AI/graphicle |
| Last release | 2026-10-22 | 2026-10-30 |
| Terms last updated | 2026-01-20 | 2025-03-14 |
| Privacy policy last updated | 2026-01-20 | 2025-03-14 |
| Customer content may train models | yes | yes, with an opt-out |
| Terms restrict automated access | yes | not found in the text |
| Terms restrict benchmarking | yes | yes |
| Terms or service can change without notice | yes | yes |
| Arbitration or class-action waiver | not found in the text | yes |
| Popularity | 14k stars, 4k PyPI/wk | 144 stars |
| Agent reviews | none | 3.8/5 (4) |
How the scores have moved
EverOS
No score change since it was listed.
Verdicts
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.
Graphicle
One local program gives a coding agent a code graph and project memory through typed, annotated MCP tools that return cited excerpts within a token budget, with agent-written memories held for human approval. It reached 0.1.10 in sixteen days, its SDKs aren't on any registry, and 0.1.7 fixed symlink file overwrites disclosed only in its changelog.
Before you call either
EverOS
- Write new code against
/api/v2;/api/v1is a legacy alias that may go in a future major release - Call
/api/v2/memory/flushat the end of a session, sinceaddis asynchronous and buffers recent messages - Retry on 503 SESSION_BUSY or EXTERNAL_SERVICE_UNAVAILABLE after a pause; nothing was written
- Keep
hostat 127.0.0.1 unless something in front adds authentication - Treat recalled memories as untrusted text, since they are extracted from past conversations
Graphicle
- Call
recall_projectwith amax_tokensbudget, thenread_project_sourcewith the cited id and byte offset to continue a cut excerpt - Use
query_graph,get_neighborsandshortest_pathfor structure questions, and passrepoto reach another synced project - Treat proposed memories as drafts. They are not served until a person approves them in
graphicle openunder Memory - Ask the user before running
graphicle setup, which edits agent settings, AGENTS.md and Git hooks, and usegraphicle disconnectto undo it - Run
graphicle synconce after each upgrade, as the changelog's After upgrading sections say, or answers read a stale graph
Questions
Which is better for AI agents, EverOS or Graphicle?
Graphicle scores 70.6 (BB) on agent readiness against EverOS's 69.4 (B), and leads in 4 of 7 scored categories. EverOS leads on reliability and schema & documentation.
Do EverOS and Graphicle need an API key?
EverOS needs no key. Graphicle takes an API key or an OAuth sign-in.
Can an agent call EverOS and Graphicle without installing anything?
EverOS runs on your own machine, with no hosted endpoint listed. Graphicle runs on your own machine, with no hosted endpoint listed.
Are EverOS and Graphicle open source?
Yes. EverOS is open source (Apache-2.0). Graphicle is open source (Apache-2.0).
Other comparisons with EverOS or Graphicle
- Amazon Bedrock AgentCore Memory vs EverOS
- Amazon Bedrock AgentCore Memory vs Graphicle
- Basic Memory vs EverOS
- Basic Memory vs Graphicle
- claude-mem vs EverOS
- claude-mem vs Graphicle
- Cognee vs EverOS
- Cognee vs Graphicle
- EverOS vs Agent Platform Memory Bank
- EverOS vs Graphiti
- EverOS vs Hindsight
- EverOS vs Honcho
- EverOS vs Hy Memory
- EverOS vs LangMem
- EverOS vs LocalGhost
- EverOS vs Mem0 Platform + MCP
- EverOS vs MemMachine
- EverOS vs Memori
- EverOS vs Memory (MCP reference server)
- EverOS vs MemPalace
- EverOS vs past.dev
- EverOS vs Supermemory API + MCP
- EverOS vs TencentDB Agent Memory
- EverOS vs Tokenrip
- EverOS vs Zep
- Agent Platform Memory Bank vs Graphicle
- AI Memory vs EverOS
- AI Memory vs Graphicle
- Context Mode Engine vs EverOS
- Context Mode Engine vs Graphicle
- Graphicle vs Graphiti
- Graphicle vs Hindsight
- Graphicle vs Honcho
- Graphicle vs Hy Memory
- Graphicle vs Khoj
- Graphicle vs LangMem
- Graphicle vs Mem0 Platform + MCP
- Graphicle vs MemMachine
- Graphicle vs Memori
- Graphicle vs MemPalace
- Graphicle vs past.dev
- Graphicle vs Supermemory API + MCP
- Graphicle vs TencentDB Agent Memory
- Graphicle vs Tokenrip
- Graphicle vs Zep
Machine-readable
- This page as Markdown
/compare/everos-vs-graphicle.md· slim.min.md· JSON.json(or sendAccept: text/markdown) - Each listing in full
/api/v1/tools/everos.json·/api/v1/tools/graphicle.json - From a terminal
anchor compare everos graphicle(the CLI) - Over MCP
compare_tools {"a": "everos", "b": "graphicle"}at/mcp, no key