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Agents tracked: 442 Downloads (7d): 202M down 19.3% GitHub stars: 10.4M Releases (7d): 693 Agent status: 1 with issuesSince last limit reset: Claude 28d · Codex 1d Updated Oct 21, 2026

EverOS by EverMind

One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.

Agent tooling for cost, context and memory New · Added to AgentGid on Oct 14, 2026Open source · Apache-2.0Free to start

Recently added on Oct 14, 2026. The description, category and pricing were filled in from public metadata and have not been checked by an editor yet.

Price
Free (OSS)
free and open source
Popularity
#49 in Agent tooling
Gid Score 28 / 100 · #49 of 65 ranked agent tools
Trend
Gaining stars
about +20 GitHub stars a day
Development
Actively updated
latest 1.4.2, 7d ago
Community
13.5K GitHub stars
5,495 package downloads a week

Usage data: latest readings Oct 19 to Oct 21, 2026, last checked Oct 21, 06:35 UTC. Date of each number

What EverOS does

It is free and open source (Apache-2.0); you pay only for the models it calls.

Key facts

MakerEverMind
First releasedOctober 2025
LicenseApache-2.0
Main languagePython
Open issues and PRs58

Pricing

Open source under the Apache-2.0 licence; check the website for any paid hosted plans.

, checked Oct 14, 2026. Prices change often; confirm before you buy.

Compare prices of all agents

Quick answers

What's new in EverOS: October 2026 so far

Full monthly summary

October brought performance improvements and fixes for multi-project setups, with changes to embedding concurrency defaults and vector database handling.

Action needed: Milvus collections must be rebuilt once after upgrading to this version.
  • Embedding concurrency default increased from 5 to 10 for better performance.
  • Interactive search no longer blocked by background cascade operations.
  • Fixed memory overwrites when using the same owner across multiple projects.
  • Resolved file descriptor leaks in long-running servers with LanceDB.

1 release this month · summarised from the official release notes · all months

Get started with EverOS

PyPIpip install everos

These commands use the packages tracked on this page. The vendor may recommend a different installer.

Compare EverOS with another agent

vs
# Agent Gid Score Downloads 7d 7d 30d Stars Latest release Price
1
OpenShellNVIDIA
77 101K down 14.1% up 381.4% 16.8K+103/day 0.1.5yesterday Free (OSS)
2
LiteLLM NewBerriAI
72 22.9M up 4.3% — 61.7K+79/day 1.104.5today Free (OSS)
3 69 — — — 22.8K+10/day — Free (OSS)
4
Langfuse NewLangfuse
64 9.5M down 17.1% up 17.7% 36.1K+48/day 4.66.0yesterday Free + $29/mo
5
Firecrawl NewFirecrawl
64 2M down 19.8% up 0.3% 194K+350/day 2.11.04mo ago Free + $16/mo
6
E2B NewE2B
60 3.2M down 14.5% up 21.9% 14.5K+21/day 2.11.2yesterday Free + $150/mo

Ratings from people who use EverOS

No ratings yet. Used EverOS? Rate it and say what it is good and bad at.

EverOS news

All AI agent news

  1. Release GitHub Releases

    EverOS 1.4.2 released

    [embedding].maxconcurrent defaults to 10 instead of 5. The; Milvus collections must be rebuilt once after upgrading. They gain the; Response ids are unique within (appid, projectid), not globally; the

  2. New on AgentGid AgentGid

    10 agents added to AgentGid

    Octop, Corsair, OpenSandbox, Trail-Code, Chat ON Steroids, holaOS, Trueforge, EverOS, dsh-TUI, FrontierAgent

What changed: recent EverOS releases

10 stable releases in the last 90 days · Monthly summary · Full changelog

1.4.2
  • [embedding].maxconcurrent defaults to 10 instead of 5. The
  • Milvus collections must be rebuilt once after upgrading. They gain the
  • Response ids are unique within (appid, projectid), not globally; the
  • The cascade optimizes a LanceDB table at most once a minute, not once
  • A long-running server no longer leaks file descriptors on LanceDB index
  • An interactive search no longer queues behind the cascade's embedding
1.4.1
  • openai is pinned below 3. Fresh installs from PyPI resolved
  • pip install --upgrade everos brings openai back to 2.x. If a fresh
Earlier releases
1.4.0
  • Native Windows support. The package ships the MSVC runtime
  • Vector (ANN) indexes. Once a vector column holds
  • [cascade] scanintervalseconds is a setting (default 30 s) instead of
  • everos cascade sync, cascade fix --apply and cascade rebuild refuse
  • pyarrow floor raised to 25.0.1. Materialising timestamp columns no
  • Watcher paths are relativised without a resolve() per event, which was
1.3.1
  • LLM-guided multi-round episode retrieval.
  • Independent decider configuration. The new [decider] section selects
  • Unified benchmark harness. One runner and four adapters cover LoCoMo,
  • Cascade snapshot control. POST /api/v1/cascade/quiesce and
  • OME attempts are bounded. One strategy attempt now has a 1,800-second
  • SQLite pool saturation fails visibly. Pool size, overflow, checkout
1.3.0
  • Optional Milvus derived-index backend. Install with
  • Vector search now uses cosine distance on LanceDB too. The generic
  • everalgo's transitive layer is pinned. everalgo-boundary,
  • POST /api/v1/memory/add no longer fails on a freshly resolved install.
  • Milvus datetime round-trips are exact below the millisecond threshold.
  • Concurrent update() on the Milvus backend no longer loses writes. The
1.2.3
  • Agent skill extraction is no longer stuck in a retry-then-dead-letter
  • POST /api/v2/ome/trigger no longer masks strategy state. The status
  • Agentic search on agent memory now uses the skill-shaped rerank
  • OME strategy retries now back off between attempts. A retry-class error
  • Path-traversal hardening for LLM-generated agent-skill names (CWE-22).
  • A renamed skill no longer leaves an orphan directory that pollutes the

EverOS popularity and usage data

EverOS was downloaded 5,495 times from PyPI in the week ending Oct 19, 2026, up 21.7% on the week before. Its download count moved to a different level overnight on Sep 29, 2026. A jump like that comes from automated installs switching on or off or from a change in how the registry counts, so growth rates across that date are not shown. The GitHub repository has 13.5K stars, 495 of them added in the last 30 days. The latest stable release is 1.4.2, published Oct 14, 2026; there were 3 stable releases in the past 30 days.

Downloads per dayPyPI, 7-day average 785/day
GitHub starsrunning total 13.5K
Website rankTranco list; a lower rank means more traffic #2,759,245

Download the raw daily series: everos.csv

Gid Score breakdown

Adoption16
Community47
Attention—
Momentum52

Each component is scored 0 to 100 from public signals; a dash means no data for it. Methodology.

How fresh these numbers are

NumberLatest readingLast checked
Package downloadsOct 19, 2026Oct 21, 06:31 UTC
GitHub starsOct 21, 2026Oct 21, 06:33 UTC
Website rank (Tranco)Oct 20, 2026Oct 21, 06:35 UTC

We fetch every source once a day. Registries publish downloads and page views a day or two late, so their latest reading trails the check. A reading more than 4 days old is marked out of date; the Gid Score still uses it until a newer one arrives.

EverOS FAQ

How much does EverOS cost?

Open source under the Apache-2.0 licence; check the website for any paid hosted plans.

Is EverOS open source?

Yes. EverOS is open source, released under the Apache-2.0 license.

How popular is EverOS?

EverOS was downloaded 5,495 times from PyPI in the week ending Oct 19, 2026, up 21.7% on the week before. Its download count moved to a different level overnight on Sep 29, 2026. A jump like that comes from automated installs switching on or off or from a change in how the registry counts, so growth rates across that date are not shown. The GitHub repository has 13.5K stars, 495 of them added in the last 30 days.

What is the latest version of EverOS?

The latest stable release we track is 1.4.2, published on Oct 14, 2026.

What are the alternatives to EverOS?

The closest alternatives in the same category by Gid Score are OpenShell, LiteLLM, NVIDIA NemoClaw, Langfuse.

For the makers of EverOS badges, corrections

Add a live badge to your README or site:

AgentGid: #49 in Agent tooling Gid Score: 28/100 downloads: 5,495/week

[![AgentGid: #49 in Agent tooling](https://agentgid.com/badges/everos-rank.svg)](https://agentgid.com/agents/everos/)
[![Gid Score: 28/100](https://agentgid.com/badges/everos-score.svg)](https://agentgid.com/agents/everos/)
[![downloads: 5,495/week](https://agentgid.com/badges/everos-downloads.svg)](https://agentgid.com/agents/everos/)

Something wrong or outdated on this page? Send a correction with a link to the official source. More for makers.

Where these numbers come from

PyPI: everos. GitHub: evermind-ai/everos. Site rank: evermind.ai on the Tranco list. See data sources for how each one is collected.

Product facts and pricing were checked against: evermind.ai, github.com, pypi.org.