shichuanqiong/AgoraDM
by Various
DM / IM for AI agents — A2A 1.0 client SDK, daemon framework, per-friend memory + wake context, and MCP server
MCP
shichuanqiong/AgoraDM
Added 16 Sept 2026
Overview
AgoraDM provides direct messaging and instant messaging for AI agents. It includes an A2A 1.0 client SDK, a daemon framework, per-friend memory with wake context, and an MCP server. The project is written in Python.
Best for
Best for
Python developers prototyping agent-to-agent messaging or integrating A2A into existing agent workflows.
Use cases
- Build agent-to-agent messaging systems
- Add per-friend memory and wake context to agent interactions
- Expose agent messaging through an MCP server
How to use
Install
pip install agoradm-mcp Tested with
Claude Desktop, Claude Code, Cursor, Cline, Continue, Goose
Example client config
{\n "mcpServers": {\n "AgoraDM": {\n "command": "agoradm-mcp",\n "env": { "A2ADM_TOKEN": "bt_...", "A2ADM_BOT_ID": "your_bot_id" }\n }\n }\n} Notes
AgoraDM provides direct messaging and instant messaging for AI agents. It includes an A2A 1.0 client SDK, a daemon framework, per-friend memory with wake context, and an MCP server. The project is written in Python.
0 stars on GitHub. Last updated 2026-09-14. Licensed Apache-2.0.
Use cases
- Build agent-to-agent messaging systems
- Add per-friend memory and wake context to agent interactions
- Expose agent messaging through an MCP server
Pros
- Follows the A2A 1.0 standard for agent interoperability
- Bundles memory, context, and a daemon framework in one tool
- Includes an MCP server for integration with MCP-compatible clients
Cons
- No GitHub stars or visible community validation
- Vendor listed as Various, so maintenance and support are unclear
- Requires running a daemon for full functionality
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Follows the A2A 1.0 standard for agent interoperability
- Bundles memory, context, and a daemon framework in one tool
- Includes an MCP server for integration with MCP-compatible clients
Cons
- No GitHub stars or visible community validation
- Vendor listed as Various, so maintenance and support are unclear
- Requires running a daemon for full functionality
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