Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
One memory for your AI agents: scoped, expiring, revocable per-agent tokens and an audit log.
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.
Authorization비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http willder https://willder.ai/api/mcp --header 'Authorization: Bearer {token}'실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"willder": {
"url": "https://willder.ai/api/mcp",
"headers": {
"Authorization": "Bearer {token}"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"willder": {
"type": "http",
"url": "https://willder.ai/api/mcp",
"headers": {
"Authorization": "Bearer {token}"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 주소는 요청 header에 키가 필요한데, 커넥터 추가 메뉴에서는 넣을 수 없어요. 대신 Claude Code, Cursor, VS Code를 쓰세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
Authorization 비밀 필수 HTTP header이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 willder.ai 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
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.
입력해야 할 값: Authorization
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.0)은 7일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
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
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Apps, Agents, Teams Synced.
Willder is a context layer that syncs your apps, agents and teams, with access control on every call and real-time coordination: what one agent writes, the others read on their next call. Each agent holds its own scoped, expiring token; its memory reads and writes pass one check and land in the audit log; revoke a token and its next call is refused. Connect your Claude Code or Cursor agent over MCP in five minutes.
Website · Docs · Architecture · Connect a client · Discussions
flowchart LR
accTitle: The parts of Willder and how a request moves through them. accDescr: An MCP client with a capability token and a person in the web app both reach the memory operations. check() decides each guarded operation against Postgres and writes an audit row. Allowed operations read and write the Postgres stores, including pgvector, and the graph through the memory service, which owns Neo4j and the embedding model. mcp["MCP client: agent token"] --> ops["Memory operations"] web["Web app: signed-in person"] --> ops ops --> chk{"check()"} chk --> pg[("Postgres: scopes, grants, tokens, audit_log, versions, pgvector chunks")] chk -- allow --> pg chk -- allow --> ms["Memory service: FastAPI, BGE-384 embeddings"] ms --> neo[("Neo4j via Graphiti: facts and relations")]
Deep dives: architecture, hybrid retrieval, conflict resolution, database, API, export format, self-hosting.
You run several agents on real work: a coding agent in the repo, a research agent on a schedule, a side project's agent. Nothing decides what each may see, tells the others when one changes something, or records what was read. Willder is the memory they share and the fence between them: scopes, per-agent tokens, a change feed and an audit, with no model in any access decision.
This repository is the engine: Postgres with pgvector, Neo4j, the memory service and the MCP server. It runs on your own machine with no willder.ai account and no call to willder.ai. You need Docker with Compose v2, Node 20.19+, 22.12+ or 24+, and a few GB of disk. Without Docker, docs/self-host.md says what to run instead.
git clone https://github.com/willderai/willder-core.git && cd willder-core
npm install cp .env.selfhost.example .env # then set GRAPHITI_SERVICE_API_KEY to any string docker compose up -d --wait # Postgres, Neo4j, the memory service; the first build takes minutes npx prisma migrate deploy # create the tables npm run selfhost:smoke # write, scoped read, refusal, export, no outside calls
The smoke ends with 9 of 9 steps passed. docs/self-host.md describes each line it prints and what to do when one fails.
Mint a token for your agent. One per agent, scoped and expiring:
npm run selfhost:token -- --scope team --agent claude-code
It prints a wcap_... token once. Put it in an environment variable and nowhere else:
printf 'Willder token: '
stty -echo; read -r WILLDER_TOKEN; stty echo printf '\n' export WILLDER_TOKEN
Connect Claude Code to the local stdio MCP server, from this directory:
claude mcp add -s user willder-local -e WILLDER_CAPABILITY_TOKEN="$WILLDER_TOKEN" \
-- npm --prefix "$PWD" run --silent mcp
Then tell the agent: Save this to Willder: we store sessions in Postgres, not Redis, so they survive a restart. Then ask Willder where we store sessions and why. It calls memory_ingest with two required arguments, content (the fact) and name (what the fact is about), and gets back the id a later update passes as baseVersion:
Stored and readable now; graph extraction continues in the background. Version: <version id>.
Then it calls memory_query, which returns one bullet per fact with when and who wrote it (an agent that has only a token is named by it, quoted), notes on what its grant let it read, and the answer's revision:
• we store sessions in Postgres, not Redis, so they survive a restart. (as of <when it was stored>) — from: "claude-code" (agent token) (agent) · version <version id>
revision: <16 hex characters>
A token for another scope (npm run selfhost:token -- --scope research --agent second-agent) gets No facts found. for the same question. Other clients: docs/connect/; the stdio server and its tools: mcp/README.md.
The engine calls out to one thing at most, and only if you configure it: an OpenAI-compatible model endpoint that extracts facts on writes (a local server works; without one a write is still stored and readable, and only graph extraction is skipped). The web app is optional: it needs a free Clerk development instance to sign people in, and docs/self-host.md lists the other outside calls it makes. An export is one JSON Lines file in a documented format: docs/export-format.md.
Prefer not to run it? The hosted service at willder.ai runs the same engine: docs/quickstart.md.
Two checks, about ten minutes, and neither needs an account. The second revokes the claude-code token from Run it on your machine (any token you are willing to revoke works).
1. Run the leak suite. From a fresh clone, with Node 20.19, 22.12 or 24:
git clone https://github.com/willderai/willder-core.git && cd willder-core
npm ci npm run test:leaks
Installing takes about a minute; the suite runs in seconds with no keys and no network. It is every test file named *eval.test.ts, *leak.test.ts or *leakage.test.ts: check(), the guarded memory reads and the MCP tool bodies run for real, and only the database and memory backends are stubbed. A pass ends with no failed file. One file, app/api/briefs/staleness-scope-leak.test.ts, reports as skipped unless QA_DATABASE_URL names a test Postgres (docs/development.md). The suite asserts that:
A few cases are named GAP:. They pass by pinning a known defect, and each one says what the correct behaviour is. The suite proves the code; step 2 proves the running service.
2. Revoke a token and see its next call refused. Revoke the agent's token from the terminal:
npm run selfhost:token -- --revoke claude-code
It prints each token it revoked by id, scope, permission and expiry, never the token, and nothing waits for the token to expire. What the agent sees next depends on how it connects:
claude mcp add connection above: it keeps listing its tools, but every memory call after the revoke is refused and nothing is read or written. Memory tools answer Access denied: no valid capability for agent claude-code granting read (or write) on the target scope …, and each refusal is a deny row in the audit log under the call's own action (memory.read, memory.write or memory.entity).WILLDER_CAPABILITY_TOKEN is not a live token in this database (unknown, expired or revoked), and records a capability.refused row./api/mcp or https://willder.ai/api/mcp on the hosted service, the next call gets HTTP 401 with Invalid or unknown capability token. and a capability.refused deny row for that agent.npm run selfhost:export holds every one of those refusals as audit lines.
Measured with dates: the first three rows on the hosted service at willder.ai, the setup row in a clean container. The harness that produced them is not in this repository. Implementation is not proof, and nothing here is a guaranteed latency.
| Claim | Evidence | Status |
|---|---|---|
| Access control under failure: scoped tokens, default deny, a token revoked mid-sequence denied on its next call, one audit row per read and per refusal | 2026-10-01: held under six concurrent readers and a revoke mid-sequence | Proven in production at failure load |
| Connected sources: co
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