Ruflo
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Description from the maker (original English)
Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
Passed 2/2 checks · Runs on your computer
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
SettingsDeveloperEdit Config
{
"mcpServers": {
"compound-memory": {
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}Paste the key only into the app’s field, never into a chat or to anyone
Use Compound Memory and tell me what you can do for me, then show me one thing✓ If Claude says it is using Compound Memory or shows a Compound Memory tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Compound Memory yet
Compound Memory runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Compound Memory
B · Others in Search & AI memory that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add compound-memory --env COMPOUND_MEMORY_ROOT=your-value --env COMPOUND_MEMORY_AGENT_ID=your-value -- uvx compound-memoryReplace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
You should see Compound Memory listed as connected
Use Compound Memory and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Compound Memory or shows a Compound Memory tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
In the Compound Memory settings, COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Compound Memory and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Compound Memory or shows a Compound Memory tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
You need a Compound Memory key (sign up on the maker’s site, may cost money) · Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Open the maker’s site, sign up and create an API key for the next step. It may cost money.
How to get a key is in the maker’s README below
In the Compound Memory settings, COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Compound Memory and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Compound Memory or shows a Compound Memory tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add compound-memory --env COMPOUND_MEMORY_ROOT=your-value --env COMPOUND_MEMORY_AGENT_ID=your-value -- uvx compound-memoryClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"compound-memory": {
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"compound-memory": {
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"compound-memory": {
"type": "stdio",
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}COMPOUND_MEMORY_ROOT envCOMPOUND_MEMORY_AGENT_ID envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026
The registry name was verified with the GitHub account chinwe, which owns the repo
Code last changed 11 days ago
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed 11 days ago, and the latest version (0.5.12) reached the registry 12 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Ruflo, Context7, Metabase
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Agent teams, swarms, memory and hooks for Claude Code and Codex, served over MCP.
Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
English | 简体中文
Local-first shared memory for multiple AI agents — plain Markdown files that compound in value as they are used. Memory lives on your disk as frontmatter-annotated Markdown, gets stronger with every confirmed use, decays into a revivable archive when neglected, and auto-commits to a local git history on every write.
Every agent session starts from zero: preferences get re-asked, project conventions get re-discovered, the same pitfall gets hit twice. compound-memory gives all your agents one shared store:
memory_write / memory_search / memory_get / memory_link / memory_feedback) as the single read-write boundary; works with any MCP host (Claude Code, ZCode, WorkBuddy, …), plus a full CLI for operations._shared namespace everyone reads, plus agent-* private namespaces each host owns; cross-host validation is tracked per host.COMPOUND_MEMORY_EMBEDDING_MODEL (default Xenova/bge-small-zh-v1.5) and COMPOUND_MEMORY_EMBEDDING_DIM (default 512); changing either is an ops action and needs an explicit rebuild-index.Paste this one-liner into your coding agent (Claude Code, Cursor, ZCode, …) and let it do the rest:
Set up compound-memory (https://github.com/chinwe/compound-memory) — a local-first multi-agent shared memory (MCP server + CLI) — on this machine. Do not clone the repo for a normal install. Initialize the store with `uvx --from compound-memory compound-memory init` (defaults to ~/.agents/memory). Register its stdio MCP server in this host's MCP config: command `uvx`, args `--from compound-memory compound-memory-server`, env `COMPOUND_MEMORY_ROOT=$HOME/.agents/memory` and `COMPOUND_MEMORY_AGENT_ID=agent-<your-host-id>`. Verify by calling `memory_search` and expecting a `{"hits": [...]}` response; if the host needs a restart to load MCP servers, tell me. Use `uv run --directory <repo>` only when developing against a local checkout. Short English setup and the search → feedback → write loop: docs/agent-integration.en.md. Full per-host configs: docs/agent-integration.md.
Python ≥ 3.11. The default does not clone the repo:
# Default: PyPI. Hosts launch the MCP server with
uv tool install compound-memory # or: pip install compound-memory
git clone https://github.com/chinwe/compound-memory.git cd compound-memory && uv sync --extra dev
Defaults to ~/.agents/memory; override with the COMPOUND_MEMORY_ROOT env var. A leading ~ or $HOME is expanded; a blank override falls back to the default.
uvx --from compound-memory compound-memory init
uv tool install: compound-memory init
This lets your everyday agents read/write the shared store automatically. No repo path:
{
"mcpServers": { "compound-memory": { "type": "stdio", "command": "uvx", "args": ["--from", "compound-memory", "compound-memory-server"], "env": { "COMPOUND_MEMORY_ROOT": "$HOME/.agents/memory", "COMPOUND_MEMORY_AGENT_ID": "agent- " } } } }
uvx takes the package name; the server console script is compound-memory-server, so --from is required. If uvx is not on PATH, set command to the absolute path ~/.local/bin/uvx. COMPOUND_MEMORY_AGENT_ID is required for any multi-agent store: the process identity wins over whatever the model claims, so a forged source cannot write another host's namespace or inflate cross-host validation. Unset or blank is a hard failure for shared _shared use: stats and doctor exit 1 (the diagnosis is still printed). MCP tools keep running, and the server logs the same warning at startup. Without the id, identity is self-reported and can be forged.
A local checkout is the developer path, not a second default: command uv, args ["run", "--directory", " ", "compound-memory-server"] after uv sync --extra dev.
Verify: ask your agent to call memory_search (any keyword) — a {"hits": [...]} response means you're connected. Or run uvx --from compound-memory compound-memory doctor (exit 0 when COMPOUND_MEMORY_AGENT_ID is set and the store is writable; exit 1 when it is unset or blank).
Requires Claude Code and uv (uvx on PATH). This repository hosts a self-hosted marketplace. Submitting the plugin to Anthropic's official Directory is out of scope.
claude plugin marketplace add chinwe/compound-memory
claude plugin install compound-memory@compound-memory
That installs integrations/claude, which launches uvx --from compound-memory compound-memory-server with COMPOUND_MEMORY_AGENT_ID=agent-claude (override that env var in the host if you need a different id). A SessionStart hook adds a short reminder on new sessions; verify and disable steps are in the plugin README. Those marketplace and plugin files are not in the PyPI sdist or wheel: MANIFEST.in prunes them, and scripts/wheel_smoke.sh checks the built artifacts.
Requires WorkBuddy or CodeBuddy and uv (uvx on PATH). This repository hosts a self-hosted marketplace at .codebuddy-plugin/marketplace.json.
/plugin marketplace add chinwe/compound-memory
/plugin install compound-memory@compound-memory
That installs integrations/workbuddy, which launches the same PyPI server with COMPOUND_MEMORY_AGENT_ID=agent-workbuddy. A SessionStart hook prints a short hard-rule reminder on new sessions and does not read the store. The Claude marketplace file is unchanged.
Requires the ZCode desktop app and uv (uvx on PATH). ZCode reads this repository's .claude-plugin/marketplace.json as its marketplace catalog, so no separate marketplace file is needed.
Clone the repository, then in ZCode: Plugin Marketplace → Add → Add Plugin Marketplace, paste the clone path (the directory containing .claude-plugin/), and install Compound Memory (ZCode) under Personal → compound-memory. That installs integrations/zcode, which launches the same PyPI server with COMPOUND_MEMORY_AGENT_ID=agent-zcode, plus a SessionStart hard-rule reminder and the short skill. The plugin's MCP server is named compound-memory; if ~/.zcode/cli/config.json already registers a server with that name (the hand-written path, §3 of docs/agent-integration.md), keep only one of the two.
Inject the usage protocol from skills/compound-memory/SKILL.md into your host (the search → feedback → write loop). The short English version is docs/agent-integration.en.md; the full protocol is docs/agent-integration.md §6.
One full loop: write → search → feedback (with cross-host first-validation bonus) → store health. Real output from v0.4.0, long payloads trimmed:
uv run compound-memory init
{ "ok": true, "root": "~/.agents/memory" }
Two different hosts each write one stable fact (new memories start at confidence 0.5, uses 0):
uv run compound-memory write \
"Deploy serverless functions on this platform times out at 10s — keep handlers under that budget" \ fact agent-claude --key vercel-timeout
{
"id": "20261007_86adf1", "ns": "_shared", "type": "fact", "source": "agent-claude", "content": "Deploy serverless functions on this platform times out at 10s — keep handlers under that budget", "confidence": 0.5, "uses": 0, "key": "vercel-timeout", "validated_by": [] ... }
uv run compound-memory write \
"User prefers concise replies with tables and code examples" \ fact agent-zcode --key user-style
Search ranks by score (--explain attaches per-hit ranking components for debugging):
uv run compound-memory search "serverless timeout"
[
{ "id": "20261007_86adf1", "score": 1.0292, "similarity": 1.0, "type": "fact", "source": "agent-claude", "content": "Deploy serverless functions on this platform times out at 10s — keep handlers under that budget", "neighbors": [] }, { "id": "20261007_6a0c0c", "score": 0.5211, "similarity": 0.4919, "type": "fact", "source": "agent-zcode", "content": "User prefers concise replies with tables and code examples", "neighbors": [] } ]
A different host used this memory and reported it back with the default success outcome — uses +1, conf +0.1; and since the reporter agent-workbuddy ≠ source agent-claude, the first cross-host validation adds another +0.15:
uv run compound-memory feedback 20261007_86adf1 agent-workbuddy
{
"id": "20261007_86adf1", "confidence": 0.75, "uses": 1, "last_used": "2026-10-07", "validated_by": ["agent-workbuddy"], "evidence": { "success_count": 1, "failure_count": 0, "contradiction_count": 0, "last_verified": "2026-10-07", "recent": [{ "date": "2026-10-07", "agent": "agent-workbuddy", "outcome": "success" }] } ... }
Store health at a glance (fixed-bucket histograms, liveness, distillation yield):
uv run compound-memory stats
{
"total": 2, "archived": 0, "active": 2, "avg_confidence": 0.625, "by_type": { "fact": 2 }, "by_ns": { "_shared": 2 }, "review_queue_entries": 0, "uses_histogram": { "0": 1, "1-2": 1, "3-5": 0, "6-9": 0, "10+": 0 }, "confidence_histogram": { "<0.3": 0, "0.3-0.6": 1, "0.6-0.8": 1, "0.8-1.0": 0 }, "recent_feedback_7d": 1, "cross_validated": 0, "distilled_total": 0, "distilled_recent_7d": 0 }
Current stats also includes retrieval (mode: vector or lexical, plus reason when the vector channel is off), attestation (attested, plus a warning when COMPOUND_MEMORY_AGENT_ID is unset), and expired_active (active-area memories whose valid_until has passed; 0 in this snapshot). cross_validated counts memories whose validated_by lists at least two distinct agents — the single cross-host validation above correctly leaves it at 0. memory_search carries the same retrieval object. CLI search stays a bare array. CLI stats exits 1 when COMPOUND_MEMORY_AGENT_ID is unset or blank; doctor is the one-page check (attestation, retrieval, write lock, git) and uses the same rule, plus root / lock / git failures. MCP tools do not stop f