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CommonGround Kernel

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Open-source kernel for durable, shared multi-agent work records.

Autonomous AgentsGeneral-Purpose 137Open source
View on GitHub
Updated 2026-06-15
CommonGround Kernel GitHub repository

What is CommonGround Kernel?

CommonGround Kernel acts as the retained public substrate beneath agent runtimes and orchestration tools. It records requested work, handoffs, outputs, and termination reasons so later humans or agents can inspect and continue tasks without starting from fragments.

The system treats each Turn as the core durable unit that owns its inputs, observations, and deliverables. Explicit causal links between turns allow recovery even after original sessions or runtimes disappear.

It targets teams building real multi-agent processes that cross people, tools, and time. Developers and operators who need inspectable, resumable work records benefit most from its small constitutional ledger approach.

What you can build with CommonGround Kernel

Cross-session research handoff

An agent researches market data and records findings in a Turn; a later agent or human reviews the same public record to draft strategy without repeating queries.

Multi-runtime task recovery

Work started in one runtime pauses and resumes in another because boundary inputs, outputs, and evidence stay stored in the kernel ledger.

Audit and reuse of agent output

Organizations keep explicit causal lineage and artifact references so completed agent work can be audited, reused, or extended by future participants.

Install CommonGround Kernel

Quick start
uv tool install commonground-kernel
cg --version
  1. 1Install Python 3.13 or later and PostgreSQL.
  2. 2Clone the repository and review the release notes for v3r1-preview.
  3. 3Configure the database connection for the ledger storage.
  4. 4Start the kernel service and verify the API endpoint.
  5. 5Create an initial Agent and Turn record to test durability.

CommonGround Kernel: pros & cons

Pros

  • +Keeps shared work facts public and durable across participants
  • +Minimal kernel design avoids locking users into one runtime or memory model
  • +Explicit causality supports later inspection and recovery
  • +Open-source with clear focus on agent identity and turn boundaries

Cons

  • Preview release may lack full documentation and stability
  • Requires separate higher-layer tools for complete workflows
  • PostgreSQL dependency adds setup overhead for simple use cases
Did you find this helpful?

Frequently asked questions

No, it is a small ledger kernel that supplies durable public records; full orchestration and memory live in other layers.

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