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celeborn-code

PyPI·Infrastructure

Celeborn Code is a tool designed to provide persistent memory and context management for AI coding agents working on software projects. It addresses the challenge of maintaining project context across sessions, ensuring that AI agents retain knowledge of what has been built, previous decisions, and upcoming tasks, thereby reducing the need for repeated explanations and avoiding lost progress. The tool operates primarily as a local command-line interface, requiring only Python and SQLite for installation, with no account necessary and all data remaining on the user's machine. Key features available in the local, offline mode include tiered file memory with automatic rehydration, per-turn capture, full-text search, a local kanban board for project management, token and dollar savings estimates, a multi-agent workflow supporting claim, touches, and outbox management, and compatibility with various AI coding agent harness adapters such as Claude Code, Grok, and Codex. Additional integrations include git-daemon sync and a GitHub App for drift checking and thread capture. The local board supervises itself to ensure continuous availability during sessions. For users requiring cross-device synchronization or team coordination, Celeborn Code offers hosted plans. The Pro plan enables real-time, hosted sync across devices, unlimited projects, a rich hosted board accessible via the web, and enhanced GitHub App integration. The Team plan builds on Pro by adding features for shared projects, organizational administration, shared context among team members, a multi-agent communication bus, and a fleet dashboard spanning multiple repositories. Enterprise options include SSO/SAML support and custom agreements. Celeborn Code is delivered as a CLI tool, installable via package managers such as Homebrew and Scoop, with a browser extension for Chrome available to integrate browser-based workflows. The tool is built in the open, with features and updates managed transparently through its own kanban board interface. Pricing includes a free local tier with no account required, a Pro plan at $8 per seat per month, and a Team plan at $12 per seat per month, with enterprise pricing available on request.

Commercial OSSBUSL-1.1
WebCLI
C
celeborn-code preview
Visit PyPI↗

Overview

5 features

celeborn-code sits in PulseGate's Autonomous agents & workflows category. It focuses on maintaining persistent context and memory for AI coding agents across sessions and restarts. It is built as an open-source project for developers using AI coding agents. celeborn-code is commercial open source (BUSL-1.1). It runs on the web and the command line.

Behind celeborn-code is cloud-dancer-labs, and the product first shipped in 2026. Development happens publicly on GitHub with 15 commits in the last 90 days. Key capabilities include persistent memory, context management, and multi-agent kanban.

  • ✓Persistent memory
  • ✓Context management
  • ✓Multi-agent kanban
  • ✓Session survival
  • ✓Command-line interface

Tags

agent-memorycontext-windowai-coding

AI capabilities

Code

Built with & integrations

Framework
react
Runs on
BrowserCLI

Trust & compliance

LicenseBUSL-1.1
Verified signals
✓ HTTPS✓ Open Source✓ GitHub✓ Active maintenance

Recent events

Latest indexed changes and source events

  1. IndexedJul 10, 6:54 PM

    celeborn-code verified by the PulseGate indexer

    Source: PulseGate indexerOpen ↗

Frequently asked questions about celeborn-code

What does celeborn-code do?
Celeborn-code focuses on maintaining persistent context and memory for AI coding agents across sessions and restarts. It is catalogued under Autonomous agents & workflows on PulseGate.
Who is celeborn-code for?
celeborn-code is an open-source project built for developers using AI coding agents.
Is celeborn-code free?
The core is open source (BUSL-1.1), with commercial offerings on top.
What platforms does celeborn-code run on?
celeborn-code runs on the web and the command line.
Is celeborn-code still maintained?
PulseGate's automated liveness checks currently classify celeborn-code as active. The GitHub repository shows 15 commits in the last 90 days.
What are alternatives to celeborn-code?
Similar tools tracked by PulseGate include celeborn, CoreMem, and core-memory.celebornCoreMemcore-memory
Who makes celeborn-code?
celeborn-code is developed by cloud-dancer-labs.
When did celeborn-code launch?
celeborn-code first shipped in 2026.

At a glance

Platforms
Cli · Web
Languages
English
Open source
Yes (GitHub)
License
BUSL-1.1
First seen
Jul 10, 2026
Activity
🟢 Active
Status
🟢 Active
Built for
developers using AI coding agents
Model
Open source
Solves
Maintaining persistent context and memory for AI coding agents across sessions and restarts.

Developer

cloud-dancer-labs
Solo developer
↗ GitHub

Open source

View on GitHub →
⭐ Stars
0
🍴 Forks
0
Open issues
0
Last commit
5d ago
Commits 90d
15
Contributors
1
Authorship
Solo
Default branch
main
Latest release
v0.2.1 · 5d ago

Live coverage

Confidence
Low · 64
Indexed
Jul 10, 2026
Lifecycle
Alive
Activity
Active
First seen
Jul 2026
Last seen
5d ago
Identity audit (9)
Entity ID
cmrfap1ra0386pyapj5x7svch
Slug
celeborn-code-pypi-org
Verification state
Indexed for public listing
Claim / listing state
Unclaimed · listed: yes
Index status
Included in index
Latest evidence snapshot
Jul 10, 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Last updated
Jul 12, 2026
Canonical URL
https://celeborncode.ai

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