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kairos

Durable coordination for human and AI agent teams, with shared tasks, ownership, and review over MCP.

Install / Use

claude mcp add ScienJus -- npx -y github:ScienJus/kairos

If the server publishes to npm under a different name, use that package instead — check the repo README.

About this skill
🔌

MCP Server

Model Context Protocol server

Quality Score

76/100

Category

Automation

Supported Platforms

Claude Code
Claude Desktop
OpenAI Codex

Our assessment of kairos

kairos scores 76/100 on our quality scale, 2597th of 2,899 Automation skills we index.

Its MCP Server is 7.7 KB long, well organised into 9 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

It has 3 GitHub stars, so there is little community track record yet; judge it on its content.

Substance
29/30
Structure
18/20
Description
12/15
Adoption
3/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated today, so kairos is actively maintained.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 92/100, with 1 caution from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

kairos compared with similar skills

All 4 of these similar skills score higher than kairos; compare them before choosing.

SkillScoreStarsUpdatedFormat
kairos (this skill)by ScienJus763todayMCP Server
Agent-Reachby Panniantong10094.6k1d agoCLAUDE.md
headroomby headroomlabs-ai10074.8ktodayCLAUDE.md
CowAgentby zhayujie10047.3ktodayCLAUDE.md
Scraplingby D4Vinci10086.5ktodayMCP Server

Frequently asked questions

How do I install kairos?
Run claude mcp add ScienJus -- npx -y github:ScienJus/kairos. The install tabs above show the steps for each supported agent.
Which AI agents does kairos work with?
It is written for Claude Code, Claude Desktop and OpenAI Codex, as a MCP Server file. Other agents that read the same format can often use it too.
Is kairos safe to use?
It is Apache-2.0-licensed and scores 92/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is kairos still maintained?
The repository was last updated today, so kairos is actively maintained.

Kairos: Durable Coordination for Human and AI Agent Teams

<p align="center"> <img src="docs/assets/kairos-logo-wordmark.png" alt="Kairos" width="520"> </p>

English | 简体中文 | Documentation

CI Security License

Running several AI agents against one goal creates a coordination problem: two sessions can start the same job, useful results can disappear with a closed conversation, and human feedback may never reach the next executor.

Kairos is an open-source coordination server for work shared by people and AI agents. It gives every piece of work one visible owner and keeps its results, review history, and next steps available across sessions.

With Kairos:

  • two agents do not unknowingly take the same work;
  • results and deliverables remain available after the producing session ends;
  • a human can reject or approve a result, and the next executor continues with that feedback.
<p align="center"> <img src="docs/assets/kairos-workflow.jpg" alt="Kairos Workflow showing two parallel Tasks joining into a release plan" width="900"> </p>

See It with Two Codex Sessions

Run a real local example with two parallel jobs and one final handoff:

make quickstart

Follow the quickstart guide to connect two Codex sessions. Each receives different work, and the final job opens with both upstream results already attached.

Kairos coordinates the work around your agents. It does not choose models, provide sandboxes, or replace an agent runtime. Agents can connect directly through MCP and Skills, while Agent Daemon can automate discovery and execution for a configured runtime.

How Work Moves

WorkItem objective
  ↓
candidate Task → exclusive Claim → execute + heartbeat
  ↓                              ↓
next work ← Submission / Review / Failure / Artifact

A team advances a WorkItem by completing its Tasks. Each Task is one coherent delivery owned by one executor at a time. A Claim makes that responsibility explicit; for Agents, leases, heartbeat, reaping, and fencing make interruption recoverable. Submissions, Reviews, Failures, and Artifacts stay with the work instead of disappearing with the session that produced them.

Coordination Modes

| | Workflow | Blackboard | | --- | --- | --- | | Use when | Main steps and dependencies are known | The objective is known but the path must evolve with evidence | | Graph authority | A Definition constrains legal progression | A Task Graph shares guidance | | Runtime planning | Decide only at configured optional, Review, and loop points | Create, decompose, append, relate, and skip Tasks | | Completion | Complete when the selected path converges | Submit an explicit completion result, then apply acceptance policy |

Both modes share discovery, Claim, submission, Review, failure, and Artifact protocols. See Workflow and Blackboard for detailed rules.

One Model for People and Agents

The console provides WorkItem overview, Human attention, Workflow graph, Blackboard hierarchy, Task Detail, Definition editing, and Daemon observation. Humans can execute Tasks, review results, recover failed Workflows, and cancel WorkItems.

Agents use stateless Streamable HTTP MCP and .agents/skills/kairos-agent for the discover → Claim → heartbeat → submit loop. Agent Daemon can automate the same protocol and gives each concrete Harness a Claim-bound Executor Credential.

Current Status

Today a team can define a goal, let several people or agents take separate work without collisions, preserve their results and Artifacts, pause for human Review, recover interrupted execution, and follow progress in the console.

Implemented:

  • Workflow and Blackboard semantics with SQLite and PostgreSQL persistence;
  • Trusted and Authenticated Modes, Identity Tokens, Admin Human, and Executor Credentials;
  • HTTP, MCP, idempotent resource creation, and managed/external-URI Artifacts;
  • Human console with Identity Token management, Workflow recovery, Blackboard acceptance, and WorkItem cancellation;
  • Agent Daemon continuous scheduling, local Codex Adapter, instance/Dispatch/event observation, and isolated E2E examples.

Current work focuses on more Provider/platform validation, hardened deployment, and broader operational views. See the Roadmap.

Run

Development requires Go 1.26.9+. Building the console also requires Node.js 22.22.2+ (22.x), 24.15.0+ (24.x), or 26+, plus npm.

make build
./bin/kairos-server

The default uses SQLite and Trusted Mode. See the API Reference for PostgreSQL, Authenticated Mode, Admin Token, reverse proxy, Artifacts, and complete routes.

For managed execution, see the Daemon example. make build builds Core and Daemon; make daemon-e2e verifies real binaries with a scripted Harness and no model calls.

In Authenticated Mode, the configured Admin signs in through the ordinary login form and manages Human and Agent Identity Tokens from the account menu. Exact authorization, Actor ID, one-time Token, and compatibility rules live in the API Reference.

Documentation Map

| Document | Responsibility | | --- | --- | | README / Roadmap | Current capabilities / future direction | | Whitepapers | Stable domain concepts, coordination semantics, and system boundaries | | API Reference / OpenAPI | Cross-interface behavior / exact HTTP contract | | Detailed designs and decision records | Implementation tradeoffs, current status, and historical context | | Package READMEs and examples | Component operation, verification, and failure boundaries |

When two documents touch the same subject, the narrower owner wins: OpenAPI for exact HTTP shape, the API Reference for cross-interface behavior, whitepapers for meaning, README for current status, and Roadmap for future direction.

Suggested whitepaper order:

  1. Core Work Model
  2. Execution Collaboration and Coordination Semantics
  3. Workflow or Blackboard
  4. Human, Agent, Identity, and Artifact
  5. Agent Daemon

Implementation records include the Daemon acceptance record, Daemon decision summary, observability design, Task Detail architecture, page design baseline, and frontend handbook. These records are currently Chinese-only.

Community

Read the contribution guide before contributing. Maintainers can follow the release guide. Report security issues privately according to the security policy.

Kairos is licensed under the Apache License 2.0.

Related Skills

View on GitHub
GitHub Stars3
CategoryAutomation
Updated13h ago
Forks0

Languages

Go

Trust signals

92/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

1 low