A framework for Claude Code and Kimi Code collaboration
Project description
InterAgent
A collaboration framework for Claude Code and Kimi Code
InterAgent lets Claude Code and Kimi Code work together on the same project. After a one-time setup, you orchestrate everything through natural language prompts — no manual CLI commands required during your session.
How It Works
InterAgent creates a shared .interagent/ directory that both agents use as a
communication channel. The user acts as the messenger, passing relay prompts between agents.
You (setup once)
└─ interagent init --project "My App" --principal claude
You (natural language)
└─ "Claude, delegate the auth module to Kimi"
Claude (runs CLI via Bash automatically)
└─ interagent quick --to kimi "Implement auth module"
└─ interagent relay --agent kimi
└─ [shows you the relay prompt to paste into Kimi]
You
└─ paste relay prompt into Kimi Code
Kimi (reads AGENTS.md + context.md, runs CLI via terminal)
└─ interagent task update <id> --status in_progress
└─ [does the work]
└─ interagent task update <id> --status completed
└─ interagent msg send --to claude --subject "Done" --message "..."
You
└─ "Claude, Kimi is done"
Claude (runs CLI via Bash automatically)
└─ interagent inbox --agent claude
└─ interagent summary
└─ [reviews Kimi's work and continues]
The only manual step is pasting the relay prompt into Kimi. Both agents handle all CLI commands themselves — you just have a conversation.
Quick Start
1. Install
pip install interagent-framework
2. Initialize (once per project)
cd your-project/
interagent init --project "My App" --principal claude
This creates:
.interagent/AGENTS.md— full collaboration guide that both agents read on startup.interagent/shared/context.md— fill this with your project description.interagent/session.json— session state
3. Fill in project context
Edit .interagent/shared/context.md and paste in your project description, current state,
and any constraints. Both agents read this at the start of every task.
4. Start working — just prompt Claude
From this point, use natural language. Claude handles the CLI:
"Claude, read
.interagent/AGENTS.mdto understand how we're collaborating, then delegate the database schema design to Kimi."
Claude will run interagent quick and interagent relay via Bash, then show you
a prompt to paste into Kimi Code.
Prompt-First Workflow
Delegating to Kimi
Just tell Claude what to assign. No CLI needed.
You → Claude:
"Delegate the user authentication module to Kimi. It should include login, logout, JWT tokens, and password reset. See PLAN.md for the API design."
Claude does automatically:
interagent quick --to kimi "Implement user authentication: login, logout, JWT tokens, password reset. See PLAN.md §3 for API design."
interagent relay --agent kimi
Claude shows you:
====================================================================
RELAY PROMPT FOR KIMI
====================================================================
Copy and paste this to the agent:
@kimi - You have work in the InterAgent collaboration system.
Your role: delegate
Collaboration guide: read .interagent/AGENTS.md for commands, workflow, and protocol.
Project context: read .interagent/shared/context.md before starting.
[TASK] You have 1 new task(s):
- Implement user authentication (task-a3f2c1)
...
====================================================================
You: paste that into Kimi Code.
Kimi Receiving Work
When Kimi receives the relay prompt, it:
- Reads
.interagent/AGENTS.mdfor the full collaboration guide and command reference - Reads
.interagent/shared/context.mdfor project context - Runs
interagent inbox --agent kimito see the task - Does the work
- Reports back via
interagent msg send --to claude --subject "Done" --message "..."
All of this happens automatically — Kimi doesn't need to be told how the system works because AGENTS.md explains it.
Getting Kimi's Work Back to Claude
When Kimi is done:
You → Claude:
"Kimi is done."
Claude does automatically:
interagent inbox --agent claude
interagent summary
Claude reviews Kimi's messages and completed tasks, then continues reviewing or assigns the next task.
Asking for a Status Check
You → Claude:
"What's the current state of the project?"
Claude does automatically:
interagent status
interagent summary
Cross-Agent Sub-Agent Requests
Either agent can ask the other to run one of their specialized sub-agents.
Example — Claude asking Kimi to do web research:
Claude writes .interagent/shared/agent-request-research.md:
Kimi: research latest best practices for JWT refresh token rotation (2026)
Write summary to: .interagent/shared/jwt-research.md
Then Claude tells you: "Tell Kimi to check .interagent/shared/ for a new request."
You paste one message into Kimi. Kimi handles it. No further orchestration needed.
Setup for New Projects (Using the Kickoff Template)
If you use the project kickoff template,
the generated CLAUDE.md automatically includes the multi-agent workflow rules:
- Claude checks for
.interagent/session.jsonon every session start - If found, Claude reads
AGENTS.mdandcontext.mdautomatically - Claude runs all
interagentcommands via Bash without being asked
This means on any future session, you can start with:
"Check the InterAgent session and tell me what's pending."
And Claude will handle the rest.
Commands Reference
Session
interagent init --project "Name" --principal claude # Initialize
interagent status # Full status
interagent summary # Quick overview
Delegation
interagent quick --to kimi "Task description" # Create + assign task
interagent relay --agent kimi # Generate relay prompt
interagent relay --agent claude # Generate relay for Claude
Tasks
interagent task list # List all tasks
interagent task show <task_id> # View task details
interagent task update <task_id> --status in_progress
interagent task update <task_id> --status completed
interagent task update <task_id> --status approved
interagent task update <task_id> --status needs_revision --note "Fix X"
Messaging
interagent inbox --agent claude # Check Claude's inbox
interagent inbox --agent kimi # Check Kimi's inbox
interagent msg send --to claude --subject "Done" --message "Implemented X"
Template Maintenance
Keep your project kickoff template current with new AI capabilities:
interagent update-template --agent claude --template-path ~/projects/template.txt
interagent update-template --agent kimi --template-path ~/projects/template.txt
interagent update-template --agent claude --focus "sub-agents"
The generated prompt instructs the agent to search for new best practices,
review the current template, apply improvements, and write a TEMPLATE_UPDATE.md.
What Gets Created on Init
.interagent/
├── AGENTS.md # Collaboration guide — both agents read this
├── README.md # Quick command reference
├── session.json # Session config (id, mode, principal)
├── shared/
│ └── context.md # Project state — fill this with your project description
├── tasks/
│ ├── active/ # JSON files for each active task
│ └── completed/ # Archived completed tasks
├── messages/
│ ├── pending/ # Unread messages
│ └── archive/ # Message history
└── agents/ # Agent status files
.interagent/AGENTS.md is the key file. Both Claude and Kimi read it on every
session start to understand their roles, available commands, and the collaboration protocol.
Safety Features
File locking — prevents race conditions when both agents work simultaneously. Tasks and messages use file-based mutexes with a 5-minute automatic timeout.
Schema validation — all JSON state files are validated before saving. Agent names, task statuses, and required fields are enforced.
Input sanitization — string length limits and type coercion before any write.
Watchdog (Optional)
Run in a separate terminal to get notifications when tasks or messages change:
interagent-watch
Useful if you want to know when Kimi has finished without actively checking.
Roles
| Role | Agent | Responsibilities |
|---|---|---|
| Principal | Claude | Architecture, planning, review, final decisions |
| Delegate | Kimi | Implementation, execution, reporting back |
In hierarchical mode (default), Claude assigns work and reviews results. In peer mode, both agents can assign tasks to each other.
Installation Options
# From PyPI
pip install interagent-framework
# From source
git clone https://github.com/gutohuida/InterAgentFramework.git
cd InterAgentFramework
pip install -e .
FAQ
Q: Do I need to run CLI commands during my session?
No. After interagent init, just talk to Claude. It runs all interagent commands
via Bash automatically. The only manual step is pasting the relay prompt into Kimi.
Q: How does Kimi know how to use the system?
interagent init writes .interagent/AGENTS.md — a complete guide covering commands,
workflow, and protocol. The relay prompt tells Kimi to read it before starting work.
Q: Should I commit .interagent/ to Git?
Partially. The .gitignore included with the project excludes runtime state
(tasks, messages, session.json) but keeps AGENTS.md and README.md.
This gives you documentation without committing transient data.
Q: Can I use this with just Claude (no Kimi)? Yes — just skip the relay step. The session, task, and summary commands are useful even for single-agent projects to track progress.
Q: What if Kimi doesn't have terminal access? The relay prompt includes the task details inline, so Kimi can read and respond without running any commands. The collaboration is less structured but still works.
Links
- GitHub: https://github.com/gutohuida/InterAgentFramework
- PyPI: https://pypi.org/project/interagent-framework/
- Issues: https://github.com/gutohuida/InterAgentFramework/issues
MIT License
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file interagent_framework-0.2.0.tar.gz.
File metadata
- Download URL: interagent_framework-0.2.0.tar.gz
- Upload date:
- Size: 44.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
140c2c2d5205e5da17d5182c6a6c481f97366be3a4e145756f20bf766591e499
|
|
| MD5 |
53661bb30716b926ac9647c52a77b3f3
|
|
| BLAKE2b-256 |
4e585f3bef74142aefaef7d58a586dadb2e2194622b44c14c7268318c3adad99
|
File details
Details for the file interagent_framework-0.2.0-py3-none-any.whl.
File metadata
- Download URL: interagent_framework-0.2.0-py3-none-any.whl
- Upload date:
- Size: 43.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.6
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
f1eabc598745ca59789a37832fe0231cc7076f845f0d8a68ba57674e88a9b370
|
|
| MD5 |
1a4902993c60039adaaa3f848bf5e9a2
|
|
| BLAKE2b-256 |
38b31e1cb53e25edb5da122220830f2c984275bcd1c9183a2f85f036f37d1532
|