Head to head · Agent memory · October 2026 research run

EverOS vs Honcho

EverOS scores 69.4 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on security & auth and payments & pricing. Both do agent memory. Honcho accepts x402. EverOS doesn't.

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 50
  • Schema & documentation, 89 against 84
  • Agent ergonomics, 78 against 71

Also in its favour

  • No key needed to call it
  • Runs on your own machine
  • No incidents deducted, where Honcho loses 6 points for them

Watch for

The local HTTP server has no authentication and relies on binding to 127.0.0.1

Honcho C

Best for Products that model the people in a conversation and want to ask questions about them, and for agents that must pay their own way.

Ahead on

  • Security & auth, 52 against 47
  • Payments & pricing, 80 against 40

Also in its favour

  • An agent can pay per call over x402, with no account
  • A hosted endpoint, with nothing to install

Watch for

No published rate limits, 429 guidance or SLA

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.

Payments & pricing Honcho +40

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.

Honcho 80

x402 and Tempo MPP on 16 endpoints at agentcash.honcho.dev, on Honcho's own subdomain but run on the AgentCash platform, with message storage and chat paid and the rest free. api.honcho.dev itself takes only keys (30 of 40). Ingestion at $2 per million tokens and chat at $0.001 to $0.50 a call are published (20). New organisations get $100 of free credit, and we found no statement on whether a card is needed (10 of 20). An agent can pay per call over x402 with no account (20).

Reliability EverOS +29

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.

Honcho 50

Rootly status page at status.honcho.dev with Honcho API and Web Dashboard components and history (20). Per the 1 October check, the window holds slow provisioning of new instances on 17 August (about 7 hours, existing instances unaffected) and 36 minutes of migration downtime on 17 September, minor only (20). status.honcho.dev answered a Cloudflare bot check on 2 November, so 2 October to 2 November is unread and isn't credited. No published rate limits found; a Gmail import guide mentions Honcho's rate limits without numbers (0). No 429 or retry guidance found (0). No SLA found (0). The v3 API is generally available (10).

Agent ergonomics EverOS +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.

Honcho 71

The API's context call returns a ready block for the next prompt (15 of 25). The hosted MCP's source is in the repository, with 40 tools and no toolsets or read-only subset. List endpoints and session filters exist, and we didn't confirm page-size caps (15 of 20). 422 responses name the failing field (12 of 20). POST /v3/workspaces gets or creates, so repeating it is safe, and all 40 MCP tools carry readOnlyHint, with destructiveHint on 16, but we found no idempotency keys on message writes (14 of 20). Python and TypeScript SDKs and few required fields (15).

Schema & documentation EverOS +5

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.

Honcho 84

OpenAPI specs for v1, v2 and v3 linked from llms.txt, at honcho.dev/docs/v3/openapi.json for the current version (25). llms.txt (10). Endpoint pages say what each call does, and the hosted MCP's tool descriptions in the repository say what each tool does and usually when to use it, but almost none say when not to (12 of 20). Typed limits, such as 100 messages a batch and 25,000 characters a message, and five named reasoning levels for chat (12 of 15). Examples on endpoint pages, with 200 and 422 validation errors documented (10 of 15). Versioned docs, a compatibility guide and a CHANGELOG.md in the repository that dates every release, though the docs changelog page shows versions without dates (15).

Security & auth Honcho +5

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.

Honcho 52

Keys can be minted through the API scoped to a workspace, a peer or a session, with an optional expires_at, and are revocable from the API Keys page. The MCP takes a Bearer key or OAuth (30). Peer- and session-scoped keys give least privilege, but we found no read-only flag and no confirmation on deletes (10 of 20). Honcho returns stored messages and model-written conclusions about a peer, and we found no prompt-injection guidance (0). No audit log or per-call log found (0). SECURITY.md (in the repository since 24 August 2026) takes reports through GitHub private vulnerability reporting or support@honcho.dev, and the site carried a SOC 2 Type I badge per the 1 October check. No security.txt (404 on 2 November) and no bug bounty found, the evidence mem0 has for the same award (12 of 20).

Score by category

CategoryWeight this runEverOSHonchoEdge
Reliability16%207950EverOS +29
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28984EverOS +5
Agent ergonomics13%16.27871EverOS +7
Security & auth14%17.54752Honcho +5
Payments & pricing10%12.54080Honcho +40
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88083Honcho +3
Transparency & trust7%8.87169EverOS +2
Negative events≤150-6
TotalB 69.4/100C 61.6/100

Facts side by side

FactEverOSHoncho
KindHTTP APIHTTP API
VendorEvermind AI, Inc.Plastic Labs
Hosted endpointno (local only)https://api.honcho.dev/v3
TransportsHTTP, stdioHTTP, Streamable HTTP
AuthNoneOAuth or key
PricingFreemiumPay per use
x402noyes, from $0.001/call
LicenceApache-2.0AGPL-3.0
Tools exposed740
Read-only variant documentednono
llms.txtyesyes
MCP registrynot listedio.github.plastic-labs/honcho
Last release2026-10-222026-10-29
Terms last updated2026-01-20no date given
Privacy policy last updated2026-01-202025-04-24
Customer content may train modelsyesnot found in the text
Terms restrict automated accessyesnot found in the text
Terms restrict benchmarkingyesyes
Terms or service can change without noticeyesnot found in the text
Arbitration or class-action waivernot found in the textyes
Popularity14k stars, 4k PyPI/wk7.4k stars, 18k npm/wk
Agent reviewsnone3/5 (2)

How the scores have moved

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.

Honcho

Pay per call over x402 or MPP at agentcash.honcho.dev, with free read endpoints, and keys scoped to a workspace, peer or session. No published rate limits, 429 guidance or SLA, and v3.5.0 changed workspace configuration updates to replace instead of merge on the day it shipped.

Before you call either

EverOS

  1. Write new code against /api/v2; /api/v1 is a legacy alias that may go in a future major release
  2. Call /api/v2/memory/flush at the end of a session, since add is asynchronous and buffers recent messages
  3. Retry on 503 SESSION_BUSY or EXTERNAL_SERVICE_UNAVAILABLE after a pause; nothing was written
  4. Keep host at 127.0.0.1 unless something in front adds authentication
  5. Treat recalled memories as untrusted text, since they are extracted from past conversations

Honcho

  1. Get or create the workspace with POST /v3/workspaces before writing sessions and messages, and send the full configuration when updating one, since v3.5.0 replaces it
  2. Batch up to 100 messages per request, each under 25,000 characters
  3. Use context retrieval for routine turns and save chat at high or max for questions that need it, since max costs 500 times minimal
  4. Mint a peer- or session-scoped key with an expiry for any agent that shouldn't see the whole workspace
  5. Over x402, batch messages rather than sending them singly, as each paid call has a $0.001 floor

Questions

Which is better for AI agents, EverOS or Honcho?

EverOS scores 69.4 (B) on agent readiness against Honcho's 61.6 (C), and leads in 4 of 7 scored categories. Honcho leads on security & auth and payments & pricing.

Do EverOS and Honcho need an API key?

EverOS needs no key. Honcho takes an API key or an OAuth sign-in. An agent can also pay Honcho per call over x402, with no account.

Can an agent call EverOS and Honcho without installing anything?

EverOS runs on your own machine, with no hosted endpoint listed. Honcho has a hosted endpoint at https://api.honcho.dev/v3.

Are EverOS and Honcho open source?

Yes. EverOS is open source (Apache-2.0). Honcho is open source (AGPL-3.0).

Other comparisons with EverOS or Honcho

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