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Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Local-first shared memory for multiple AI agents that compounds with use; Markdown + git, MCP + CLI.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
COMPOUND_MEMORY_ROOT, COMPOUND_MEMORY_AGENT_ID필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"compound-memory": {
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add compound-memory --env COMPOUND_MEMORY_ROOT=your-value --env COMPOUND_MEMORY_AGENT_ID=your-value -- uvx compound-memory실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"compound-memory": {
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"compound-memory": {
"type": "stdio",
"command": "uvx",
"args": [
"compound-memory"
],
"env": {
"COMPOUND_MEMORY_ROOT": "your-value",
"COMPOUND_MEMORY_AGENT_ID": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
COMPOUND_MEMORY_ROOT envCOMPOUND_MEMORY_AGENT_ID env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 chinwe 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.5.12)은 7일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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
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