MCP Servers · Memory
chinwe/compound-memory
Local multi-agent shared memory with compounding — MCP server + CLI
Our verdict
We have not reviewed chinwe/compound-memory yet
No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.
From the listing
About chinwe/compound-memory
A local multi-agent shared memory system with compounding capabilities, provided as an MCP server and CLI. It enables agents to store and retrieve memory that builds on prior knowledge, facilitating persistent context across sessions.
Best for
Developers experimenting with multi-agent memory systems in local, Python-based setups.
Use cases
- Persist and share context between multiple AI agents
- Build cumulative knowledge bases for agent workflows
- Integrate memory into MCP-compatible tools
Notes
1 stars on GitHub. Last updated 2026-10-22. Licensed MIT.
Pros
- Local-first, keeping data on your own infrastructure
- Provides both MCP server and CLI for flexible integration
- Supports compounding memory, allowing knowledge to grow over time
Cons
- Very early stage with only 1 star, likely unstable
- Limited documentation and community support
- Python-only, requiring a Python environment
Key facts
What we have checked
Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.
Install
Add chinwe/compound-memory to your client
Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.
Claude Code
Config checkedRun in your terminal (runs on your computer)
claude mcp add --transport stdio chinwe-compound-memory -- uvx compound-memory@0.5.10Claude Desktop
Config checkedAdd to claude_desktop_config.json (runs on your computer)
{
"mcpServers": {
"chinwe-compound-memory": {
"command": "uvx",
"args": [
"compound-memory@0.5.10"
]
}
}
}Cursor
Config checkedAdd to .cursor/mcp.json (runs on your computer)
{
"mcpServers": {
"chinwe-compound-memory": {
"command": "uvx",
"args": [
"compound-memory@0.5.10"
]
}
}
}VS Code
Config checkedAdd to .vscode/mcp.json (runs on your computer)
{
"servers": {
"chinwe-compound-memory": {
"type": "stdio",
"command": "uvx",
"args": [
"compound-memory@0.5.10"
]
}
}
}Codex
Config checkedAdd to ~/.codex/config.toml (runs on your computer)
[mcp_servers.chinwe-compound-memory]
command = "uvx"
args = ["compound-memory@0.5.10"]- ChatGPT: ChatGPT connects only to remote servers that need no API key.
Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.
Works with
What chinwe/compound-memory connects to
5 clients, each with how we know and when we checked.
| Works with | Type | How we know | Checked |
|---|---|---|---|
| Claude Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.5.10Config checked | Claude Code docs |
| Claude Desktop | Client | Install recipe matches the client's documented formatRuns locally, version 0.5.10Config checked | Claude Desktop docs |
| Cursor | Client | Install recipe matches the client's documented formatRuns locally, version 0.5.10Config checked | Cursor docs |
| VS Code | Client | Install recipe matches the client's documented formatRuns locally, version 0.5.10Config checked | VS Code docs |
| Codex | Client | Install recipe matches the client's documented formatRuns locally, version 0.5.10Config checked | Codex docs |
Sources
Where this comes from
No sources recorded yet. Each source we check is listed here with the date we checked it.
A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.
Changelog
What changed
No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.
Pairs with
Other entries in the index that connect to this one. Click through to see the chain.
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