Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Self-hosted decision memory for AI coding agents; warns before re-proposing a rejected approach.
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.
PERCEPTION_API_URL, PERCEPTION_API_KEY비밀로 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.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"robrain": {
"command": "npx",
"args": [
"-y",
"robrain",
"mcp"
],
"env": {
"PERCEPTION_API_URL": "your-value",
"PERCEPTION_API_KEY": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add robrain --env PERCEPTION_API_URL=your-value --env PERCEPTION_API_KEY=your-value -- npx -y robrain mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"robrain": {
"command": "npx",
"args": [
"-y",
"robrain",
"mcp"
],
"env": {
"PERCEPTION_API_URL": "your-value",
"PERCEPTION_API_KEY": "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": {
"robrain": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"robrain",
"mcp"
],
"env": {
"PERCEPTION_API_URL": "your-value",
"PERCEPTION_API_KEY": "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.
PERCEPTION_API_URL 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 7일 점검
레지스트리 이름이 GitHub 계정 adelinamart 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.
입력해야 할 값: PERCEPTION_API_KEY
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(2.6.1)은 4일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 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
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.
Shared memory across your team and your AI agents — with judgment!
RoBrain isn't just another memory layer — it's the brain that helps you and your agents make better decisions and avoid costly mistakes.
Self-hosted on your own Postgres. Passive capture, structured vetoes, corpus-wide contradiction scans — nothing leaves your machine. Works with Claude Code, Cursor, GitHub Copilot (VS Code), Codex CLI, Hermes and more.
Measured: without decision memory, a coding agent re-proposes an approach your team already rejected in up to 9 of 10 tasks. Through RoBrain's full pipeline: 0 of 50, across five archived runs — VetoBench.
RoBrain records what your team and its agents decide — and the alternatives they ruled out — without anyone tagging anything by hand. Sensing captures session turns; Perception extracts each decision into Postgres, where every row can carry a structured rejected[] field.
Most agent-memory tools stop at capture: they store what happened and hope you query it later. RoBrain adds judgment. Batch Synthesis reads the whole corpus to flag contradictions, stance drift, and recurring entities that no single session could see.
The point is the handoff. Someone makes a deliberate call in Cursor on Tuesday — say, keeping Perception on Hono instead of porting to Express. A new teammate opens Claude Code on Wednesday with no memory of it and asks to make exactly that change. RoBrain surfaces the recorded rationale before the agent steers down a path you already rejected — same Postgres store, same vetoes, captured passively.
The cost of forgetting a rejection isn't inefficiency. It's the auth bypass you already patched, the migration you already rolled back, the dependency you already removed for a CVE — re-suggested by an agent with no memory of why you said no.
Coding is the first vertical because the feedback loops are tight — reverts, incidents, and rework make the cost of a forgotten rejection measurable. The same architecture applies wherever agents make decisions that outlast a session.
How it works, the two pillars (capture + judgment), and the full walkthrough: docs/concepts.md.
Two ways to run RoBrain — pick one:
No clone needed — robrain up pulls the published Perception image and generates credentials into ~/.robrain/stack/.env.
Default path uses Anthropic (extraction) + OpenAI (embeddings). Other setups (OpenAI-only, Gemini, other embeddings, fully local) — Concepts — Prefer a different provider setup?.
export ANTHROPIC_API_KEY=... OPENAI_API_KEY=... # or add them to ~/.robrain/stack/.env after the first run
npx robrain@latest up # start Postgres + Perception from ghcr.io npx robrain install --self-hosted # wire Sensing MCP into your editors
From a clone instead (development, or building the image yourself)
First pnpm docker:up auto-creates .env and fills PERCEPTION_API_KEY / POSTGRES_PASSWORD. Perception still needs your LLM + embedding keys before it stays up.
git clone https://github.com/adelinamart/robrain
cd robrain pnpm install && pnpm build pnpm docker:up # first run: creates .env; Perception won't start yet
pnpm docker:up # second run: Perception now boots pnpm robrain install --self-hosted --repo-root "$(pwd)"
pnpm robrain runs the CLI you just built (node packages/cli/bin/robrain.js). Use it instead of npx robrain everywhere in this clone — npx resolves to the published package or a stale global install, not your working tree.
Upgrading a self-hosted install
No-clone stack: re-run npx robrain@latest up (pulls the new Perception image and applies startup DB migrations) then npx robrain@latest install --self-hosted. From a clone: git pull → pnpm install && pnpm build → pnpm docker:up:build → pnpm robrain install --self-hosted --repo-root "$(pwd)" → fully restart editors. Full checklist: CLI reference — Upgrading.
Claude Code users on the self-hosted stack can add hook-based capture and pre-task warnings about previously rejected approaches — no CLAUDE.md protocol needed:
claude plugin marketplace add adelinamart/robrain
claude plugin install robrain@robrain
Details: plugins/claude-code. robrain init-project also recommends the plugin to collaborators via the project's .claude/settings.json, so teammates get an install prompt from Claude Code itself (opt out with --skip-claude-plugin).
On any paid Rory Plans plan, RoBrain runs without hosting anything:
npx robrain install # no flags — cloud mode
Sign in at roryplans.ai, create an API token on your profile page, and paste it when the installer asks. That's the whole setup: no Docker, no database, no LLM or embedding keys — extraction and search run on our side. Your editors (Claude Code, Cursor, Copilot, Codex CLI) are wired automatically, and teammates on your Rory Plans team share the same memory.
Every paid plan qualifies — individual standard or annual, Teams, and enterprise. Solo subscribers get a private memory space; teams share one. Self-hosting stays free and fully supported (see Install above); the comparison table shows what each tier adds.
Cloud also governs memory for production agents: each agent gets its own project (the eve provider registers it on first run), org admins push rules to every production agent or to one kind of agent by tag (npx robrain promote), tags come from the tools an agent uses through an admin-kept mapping (npx robrain tags map), and every governance action is recorded with who did it. The commands are in the CLI reference; self-hosted RoBrain keeps one project by design.
After either install (self-hosted or cloud):
# Wire capture into an application project (run inside the repo)
cd /path/to/your/project npx robrain init-project # writes CLAUDE.md, AGENTS.md, .cursor/rules/robrain.mdc
npx robrain explain path/to/file
npx robrain review
npx robrain synth # drift, contradictions, entity promotion
After init-project, every repo gets CLAUDE.md and AGENTS.md (Codex CLI), and Cursor also gets .cursor/rules/robrain.mdc with alwaysApply: true. If captures don't land, run npx robrain doctor — see Troubleshooting.
By default the classifier stores decisions and the alternatives you rejected, and nothing else. When a project wants more, less, or something different, tell it in plain language. The settings are stored per project on Perception, so every teammate's sessions capture the same way:
npx robrain capture show
npx robrain capture set --instructions "Skip anything about the marketing site. Treat naming conventions as decisions." npx robrain capture set --min-confidence 0.75 # less noise npx robrain capture set --mode broad # every turn reaches the model, not only keyword hits npx robrain capture set --add-kind "run: The outcome of an agent run: what ran, when, and whether it succeeded." npx robrain capture test --file sample-turns.jsonl --compare # dry run before you commit to it
Extra kinds of memory sit beside decisions: each entry names a subject, and a newer entry about the same subject replaces the older one, so a kind can hold changing state (the last run of an agent) as well as rules. Only decisions carry vetoes. Flags and formats: CLI reference.
Every stored decision records who decided it (the git user.email of the session) and when, and the summary and veto warnings say so. Search the memory like a person would, or add a rule without waiting for a session to capture it:
npx robrain search "confirm before sending"
npx robrain rules add "Never auto-send a plan; the customer confirms first." --because "trust" --rejected "auto-send: customers lost drafts"
Hand-written rules are stored like captured ones (same vetoes, summary and review), with confidence 1.0 and approved on insert. A repo gets its own project from init-project; a team that wants one memory across several repos creates a project and pins it in each (npx robrain projects create team-payments, then ROBRAIN_PROJECT_ID=team-payments). The id shapes in use are listed in the naming convention. Upgrades never retire a command or route without a replacement: deprecation policy.
Synthesis runs three passes over the full decisions table — drift (stance moving without an explicit reversal), contradictions (incompatible decisions from different sessions), and entity promotion (recurring tools/patterns condensed into planning_blocks). It writes flags and edges into your DB; it does not capture new decisions — it judges the corpus you already have.
pnpm synthesis:build && pnpm synthesis:run
Review what it finds with npx robrain review. Deep dive (three passes, cron, env vars): Concepts — Synthesis.
One cross-tool setup covers Claude Code, Cursor, GitHub Copilot (VS Code), and Codex CLI against the same Postgres store. The classifier LLM is your choice — Anthropic Haiku or OpenAI. Decisions carry a lifecycle (active / superseded / invalidated) and a graph (conflicts_with / extends / related_to).
Codex CLI / IDE also gets hook-based capture and pre-task veto warnings — the same lifecycle hooks as the Claude Code plugin, wired automatically by robrain install into ~/.codex/config.toml (Codex asks you to trust them on first run). Docs: plugins/codex.
Running Hermes? npx robrain install --hermes drops a standalone memory-provider plugin into ~/.hermes/plugins/ — passive capture and veto-aware recall through the same Perception API. Docs: integrations/hermes.
Decision ledger for git (opt-in):
npx robrain export-memory --ledger
Record the rejection once — RoBrain captures it passively from the session where it happened — and every connected agent gets a veto warning before steering down that path again: the decision, the rejected option, an
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