Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Governed agent memory: lessons stay out of search until another actor promotes them with evidence.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
STELE_STORE你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"stele": {
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add stele --env STELE_STORE=your-value -- uvx stele-mcp运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"stele": {
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"stele": {
"type": "stdio",
"command": "uvx",
"args": [
"stele-mcp"
],
"env": {
"STELE_STORE": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
STELE_STORE env这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月6日
注册名称已通过 GitHub 账户 leocelis 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(18.16.3)于今天进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Stele
The governed experiential-memory ledger for AI agents — log what worked and what failed, promote only oracle-verified lessons, and let any agent build solid context from real experience.
A stele is a stone raised to record what happened — deeds, laws, warnings — for those who come after. Stele is the same idea for AI agents: a centralized ledger of task experience. Agents automatically log what worked and what failed on each task; a governance gate promotes only lessons backed by external evidence; and any agent — today's or a future one — retrieves the distilled experience through one protocol before its next task.
Status: v18.16.1. Design locked in stele_system_intent.yaml. Packages: stele-core (zero runtime deps; optional [mysql]) + stele-mcp (stdio + hosted HTTP) + stele CLI.
| Problem | Evidence | Stele answer |
|---|---|---|
| Recall wins ≠ better actions | MemoryArena (arXiv:2602.16313) | Task-outcome harnesses, not recall@k marketing |
| Self-reflection poisons stores | Survey (arXiv:2603.07670) | Quarantine + external oracle only |
| Every framework is a silo | memorywire (arXiv:2606.01138) | JSON Schema + projection helpers |
| Stale lessons mislead | LongMemEval (arXiv:2410.10813) | Bi-temporal supersede + stale_policy |
Full research: docs/research/ · patterns: docs/patterns/.
pip install stele-core stele-mcp
From git (contributors):
python3.11 -m venv .venv
source .venv/bin/activate pip install -r requirements-dev.txt pip install -e packages/stele-core -e packages/stele-mcp make check # ruff + mypy + pytest make proof # end-to-end PASS/FAIL proof
Quick path: docs/QUICKSTART.md · comparison: docs/COMPARISON.md.
from pathlib import Path
from stele_core import Stele
s = Stele.open(Path(".stele-store"), store_id="demo", now="2026-08-20T12:00:00Z") added = s.add({ "layer": "failure_lesson", "title": "Pin cache keys to calendar buckets", "body": "Day-scoped keys prevent stale cross-day reads.", "scope": "project:demo", "temporal": {"valid_from": "2026-08-20T12:00:00Z", "last_verified": "2026-08-20T12:00:00Z"}, "provenance": { "agent": "agent-a", "task": "cache-fix", "environment": "local", "subject_id": "subj-1", "source": "session:abc", "written_at": "2026-08-20T12:00:00Z", }, })
s.promote(added["id"], [{ "type": "test_result", "issuer": "ci", "ref": "tests/test_cache.py", "observed_at": "2026-08-20T12:00:00Z", "verdict": "supports", "command": "pytest -q", "exit_status": 0, }], actor="ci", ts="2026-08-20T12:00:00Z")
print(s.search("cache buckets", consumer_scope="project:demo")) print(s.doctor(now="2026-08-20T12:00:00Z")["ok"])
stele init ./.stele-store --store-id demo
stele doctor ./.stele-store --now 2026-08-20T12:00:00Z stele hygiene ./.stele-store --now 2026-08-20T12:00:00Z stele entangled ./.stele-store --source web_page --now 2026-08-20T12:00:00Z stele forget-check ./.stele-store --scope project:demo --subject-id subj-x --probe-query secret --now 2026-08-20T12:00:00Z stele schema --out docs/schemas/entry.schema.json stele snapshot ./.stele-store /tmp/stele-backup --now 2026-08-20T12:00:00Z --actor ops
Requires the Model Context Protocol Python SDK 1.x (mcp>=1.0,<2). mcp 2.x removed mcp.server.fastmcp and will not boot this server.
Default (`stele-mcp`): 35 governed-ledger tools — add, promote, search, doctor, export, …
export STELE_STORE=./.stele-store
stele-mcp
Full research library (~2000 PEFT/agent-pattern tools): stele-mcp-full.
Same tools over HTTPS (SSE + streamable HTTP). Two independent tool surfaces, same process, same auth, same store:
| Surface | SSE | Streamable HTTP | Tools |
|---|---|---|---|
| Full | /sse | /mcp | 2003 (ledger + PEFT/pattern research library) |
| Core (governed ledger only) | /core/sse | /core/mcp | 35 — see list below |
Production:
https://stele.leocelis.com/sse · core: https://stele.leocelis.com/core/sse (Bearer required)docs/integrations/CURSOR.md · CLAUDE_CODE.md · CLAUDE_DESKTOP.mddocs/cursor-rules/stele-hosted-mcp.mdcLocal run (dev):
bash deploy/build.sh
STELE_API_KEYS=stl_local_dev STELE_AUTH_DISABLED=false \ STELE_STORE=./.stele-store \ python deploy/wsgi.py --port 8080
GET /health — unauthenticated; reports tool_counts: {full, core}/sse + /mcp (full) and /core/sse + /core/mcp (ledger-only) — both Bearer via STELE_API_KEYSSTELE_STORE_DSN + TLS CA (DSN wins over file path){
"mcpServers": { "stele": { "url": "https://stele.leocelis.com/core/sse", "headers": { "Authorization": "Bearer YOUR_KEY_HERE" } } } }
35 governed-ledger tools (TECH_SPEC §7.1-7.9 — everything create_core_app() exposes): add · update · promote · supersede · delete · search · reflect · link · list_contested · resolve_contested · verify · reviewer_corrections · hydrate · export · record_outcome · pin · stale_report · reverify · related · stats · timeline · verify_pack · attach · snapshot · doctor · entry_schema · purge_by_provenance · diff_stores · add_batch · entangled_suspects · hygiene_candidates · forget_compliance · lineage · belief_at · conflict_surface
See docs/ARCHITECTURE.md. Planes: Contract · Tools · Governance · Retrieval · Export · Living ledger · Ops.
| Doc | Link |
|---|---|
| OSS guide (start here) | docs/OSS_GUIDE.md |
| Quickstart | docs/QUICKSTART.md |
| PRD | docs/PRD.md |
| TECH_SPEC v1.1 | docs/TECH_SPEC.md |
| Entry JSON Schema | docs/schemas/entry.schema.json |
| Intent (C1–C8) | stele_system_intent.yaml |
MIT · Copyright (c) 2026 Stele contributors