Index / Clawith · updated Oct 5, 2026

Clawith

dataelement/Clawith · healthy · rank 19 of 50 by stars

Clawith positions itself as 'OpenClaw for Teams' — a multi-agent collaboration platform where each agent gets persistent identity, long-term memory, and its own workspace. Its 'Aware' autonomous consciousness system lets agents proactively perceive, decide, and act rather than waiting for commands.

#multi-agent#collaboration#teams#persistent-memory#openclaw-alternative
Compare vs OpenClaw
GitHub ↗

Facts

Repository

Contributors44
Open issues258
Last commitAug 25, 2026
Release cadence~9 days
Latest releasev1.11.4-fix.1

Runtime

LanguagePython
Memory85 MB
Boot time220 ms
Deploymentself-hosted · cloud
Setup difficultyMedium
Plugin ecosystemEmerging

Posture

LicenseApache-2.0
Local-firstNo
Cloud dependencyOptional
Multi-userYes
Privacy postureMixed

Community

Sentiment62% positive
Reddit mentions0
Web results10

Security breakdown

Composite 72 / 100 · how these are scored

Sandboxing7 / 10

higher is safer

API security7 / 10

higher is safer

Network isolation5 / 10

higher is safer

Telemetry safety6 / 10

higher is safer

Shell access risk6 / 10

higher is riskier

Model access

Read from the repository, not written by a model · 58 files examined

1 provider · custom endpoint

Direct
OpenAI
Compatible
OpenAI-compatible

Pinned models

claude-opus-4-6 released 2026-02-04 — 8 months old (from the public model catalogue)

Pin last edited 3 months ago

Evidence

Decision

Why choose Clawith over OpenClaw?

Why choose this

  • Native multi-agent collaboration with shared crew workflows
  • Persistent agent identity and long-term memory per agent
  • Team/organization-oriented multi-user design

Tradeoffs

  • Far smaller community and ecosystem than OpenClaw
  • Heavier platform footprint versus OpenClaw's local-first simplicity
  • Fewer messaging-channel integrations

Best fit

  • Teams wanting multiple agents with shared workspaces
  • Organizations scaling OpenClaw-style agents to groups
  • Users needing persistent agent identity and long-term memory

Avoid if

  • You want a lightweight single-agent local assistant
  • You need a mature, battle-tested plugin ecosystem
  • You prefer minimal setup over a full platform deployment
Good Confidence68%

Evidence is moderate: the README and active commit history clearly show a real, actively maintained multi-agent platform, but there is zero Reddit discussion and limited independent web sentiment, so community and security assessments carry uncertainty.

AI layer reviewed Oct 5, 2026 · how this is written

Star activity

4,167 stars today

Overview

Clawith is an open-source multi-agent collaboration platform built in Python and licensed under Apache-2.0, self-described as 'OpenClaw for Teams.' Where OpenClaw focuses on a single personal assistant running locally, Clawith gives every agent a persistent identity, long-term memory, and its own workspace, then orchestrates them as a crew that collaborates with each other and with human users.

Its standout architectural feature is Aware, an adaptive autonomous consciousness system: agents maintain structured working memory via Focus Items with status markers, bind triggers to focus items, and proactively perceive, decide, and act instead of passively awaiting commands. Recent commits show a disciplined engineering culture — a quality tooling harness (Pyright, ESLint, Prettier baselines), an Architecture Guard, sandbox block-warning handling, and a Tool Ledger with fail-closed integrity checks for executable artifacts.

The project offers both a self-hosted open-source edition and a hosted Clawith Cloud production service, plus a shared live demo. With ~4.2k stars and frequent releases (v1.11.4-fix.1), it is actively maintained, though its community footprint outside GitHub remains thin compared to OpenClaw's massive ecosystem.

Nominate a clone

Add a new Claw

Paste a GitHub repository and tell us why it belongs on the tracker.

Opens a prefilled issue on GitHub — every nomination is public. Comfortable with a PR? Adding the repo to projects.json is faster.