Agent Comms
A lightweight protocol and toolkit for AI coding agents to share context, hand off tasks across sessions, and collaborate in real-time across machines.
At a Glance
Fully free and open-source toolkit available on GitHub. Install via pip or one-line script.
Engagement
Available On
Listed Sep 2026
About Agent Comms
Agent Comms is an open-source Python library and CLI toolkit that solves two core problems for AI coding agent workflows: context loss between sessions and multi-agent coordination across machines. It is hosted on GitHub under the username BlahBlah23406 and is installable via pip or a one-line shell script. The project targets developers working with AI coding agents such as Claude Desktop, Antigravity, and Cursor.
What It Is
Agent Comms provides a unified protocol for AI coding agents to preserve and transfer cognitive state between sessions and to communicate in real time across different machines. It combines two complementary mechanisms: Context Capsules for out-of-session handoff and the AHRP Live Relay for in-session multi-agent collaboration. The project also ships a native MCP (Model Context Protocol) server, making it directly usable from Claude Desktop, Antigravity, and Cursor without additional glue code.
Context Capsules: Out-of-Session Handoff
Context Capsules are the core artifact for preserving an agent's working state across session boundaries. When a developer ends a session or switches machines, the agent packages:
- Task roadmap and architectural decisions — what was tried, what was rejected, and what comes next
- Code diffs — staged, unstaged, and untracked changes captured as a clean patch, without polluting Git commit history
- Token-efficient Markdown briefing — generated for the incoming agent to resume immediately
On the receiving machine, agent-comms capsule unpack restores uncommitted files and the full task briefing, allowing the next agent session to pick up exactly where the previous one left off.
AHRP Live Relay: Real-Time Multi-Agent Collaboration
For workflows where multiple agents run simultaneously across different environments or physical computers, Agent Comms provides a WebSocket mesh relay server implementing the AHRP (Agent Handoff Relay Protocol) wire protocol. Key capabilities include:
- Peer discovery — agents announce presence, roles, and hardware capabilities
- Publish/subscribe messaging — agents broadcast and receive topic-scoped messages
- Cognitive Blackboard — replicated shared state for real-time decision and learning exchange
- Direct RPC — agents can invoke tools or run commands on peer machines
The formal AHRP wire protocol and JSON schemas are documented in a SPECIFICATION.md file in the repository.
MCP Integration and Supported Agents
Agent Comms ships a built-in MCP server that exposes three tools: export_handoff_capsule, import_handoff_capsule, and list_saved_capsules. Adding a single JSON block to an MCP settings file connects any compatible agent. The README explicitly lists Claude Desktop, Antigravity, and Cursor as supported hosts, and the repository includes a USER_GUIDE.md with plain-English prompt examples for each.
Setup and Installation
The project supports multiple installation paths:
pip install git+https://github.com/BlahBlah23406/agent-comms.git- Clone and
pip install -e .for local development - One-line curl/PowerShell install scripts for macOS, Linux, and Windows
After installation, agent-comms setup runs initial configuration. A built-in agent-comms demo command launches a local two-agent collaboration scenario for immediate exploration.
Current Status
The repository was created in September 2026 and last pushed on September 15, 2026, indicating very early-stage activity. It carries 1 star and 0 forks at the time of indexing. The README references passing tests and Python 3.9+ compatibility. The repository README lists an MIT badge, though the GitHub About section notes "No license specified" — the license status should be verified before production use. Documentation includes a User Guide, Onboarding Guide, Protocol Specification, and Tutorial.
Community Discussions
Be the first to start a conversation about Agent Comms
Share your experience with Agent Comms, ask questions, or help others learn from your insights.
Pricing
Open Source
Fully free and open-source toolkit available on GitHub. Install via pip or one-line script.
- Context Capsules for session handoff
- AHRP Live Relay WebSocket mesh
- Native MCP server integration
- CLI with all commands
- Python 3.9+ support
Capabilities
Key Features
- Context Capsules for out-of-session agent handoff
- AHRP Live Relay WebSocket mesh for real-time multi-agent collaboration
- Native MCP server integration (Claude Desktop, Antigravity, Cursor)
- Captures staged, unstaged, and untracked git diffs without polluting commit history
- Token-efficient Markdown briefing generation for incoming agents
- Peer discovery with role and hardware capability announcements
- Cognitive Blackboard for shared real-time agent state
- Cross-machine Remote Procedure Calls (RPC) between agents
- Publish/subscribe messaging across agents
- CLI with capsule pack/unpack, demo, setup, and mcp commands
- One-line install scripts for macOS, Linux, and Windows
- Python 3.9+ support
