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/kairosIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
AutomationSupported Platforms
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.
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.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| kairos (this skill)by ScienJus | 76 | 3 | today | MCP Server |
| Agent-Reachby Panniantong | 100 | 94.6k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.8k | today | CLAUDE.md |
| CowAgentby zhayujie | 100 | 47.3k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 86.5k | today | MCP 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.
Skill content
View source on GitHubKairos: 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
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.
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:
- Core Work Model
- Execution Collaboration and Coordination Semantics
- Workflow or Blackboard
- Human, Agent, Identity, and Artifact
- 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.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
