Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Coordination memory with verification: reconcile-against-GitHub, verdict freshness, provenance.
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。
Authorization标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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 …”。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
在终端中运行这条命令
claude mcp add --transport http assist-memory https://mcp-assist-memory.replit.app/mcp --header 'Authorization: your-value'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": {
"assist-memory": {
"url": "https://mcp-assist-memory.replit.app/mcp",
"headers": {
"Authorization": "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": {
"assist-memory": {
"type": "http",
"url": "https://mcp-assist-memory.replit.app/mcp",
"headers": {
"Authorization": "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。
这个地址需要在请求的 header 中放入密钥,而添加连接器的菜单无法设置。请改用 Claude Code、Cursor 或 VS Code。
你的选择通过 Cookie 保存在这台设备上,无需账户。
Authorization 机密 必填 HTTP header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。
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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8日
注册名称已通过 GitHub 账户 aliomraniH 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
尚未检查;我们会轮流检查各个端点
尚未检查;我们会轮流检查各个端点
尚未检查;我们会在检查端点时读取工具列表
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。
你需要填写:Authorization
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
GitHub 仓库最后更新于–,最新版本(0.4.1)于3个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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。
A generic, project-agnostic memory / coordination / artifact server for multi-agent and multi-surface work. One FastAPI process serves a 30-tool MCP over Streamable HTTP, backed by Postgres (+ pgvector), deployed standalone on a Replit Reserved VM.
This is Tier 1 of the reusability contract: every project reuses it as-is. It carries zero domain terms — project identity lives in namespace *values*, never in tool names, tables, columns, or code.
verified_persisted), standardized error payloads with remedies, write-time screening + quarantine, provenance tiers (origin, model attribution, derived_from lineage), trust decay (needs_reverification), PHI-safe tool_events telemetry, per-namespace variant profiles, and an observation_log feedback channel.namespace.57P01/08xxx) on a fresh pooled connection, and validates connections at checkout, so callers no longer have to retry. Retries are idempotency-gated, so they never double-write.[[UNTRUSTED_DATA]], never reconstructed on read), instruction-shaped writes are screened and quarantined (visible in the write ack; include_quarantined: true opts reads back in), and reads come back wrapped in << >> markers; storage.sanitize.unwrap_value recovers the raw value when a consumer needs it (e.g. to json.loads). Honest framing: these are layers, not proofs — deterministic screens and wrappers are bypassable by an adaptive attacker; adversarial evaluation is pending (see Phase 10 backlog in DECISION-PROTOCOL.md)./admin dashboard.| Group | Tools |
|---|---|
| memory | memory_save memory_get memory_list memory_history memory_delete memory_search |
| handoff | handoff_save handoff_load handoff_list |
| session | session_create session_append_event session_get session_list session_events |
| artifact | artifact_put artifact_get artifact_list |
| coordination | coord_health coord_drift_scan coord_reconcile coord_curate |
| gate | intent_open skill_define gate_close_outcome gate_cache_status |
| sequence | session_bootstrap namespace_init recall |
| feedback | observation_log |
| admin | stats |
Sequences are the paths an agent should take. Correct use of this server has always been a *sequence* — learn which database answered, resolve the profile, check what is stale, then act — and that ordering used to live in tool descriptions and skills, i.e. it was enforced by a model remembering advice mid-task, and a skipped step produced no signal whatsoever. The three sequence tools run their steps server-side in a fixed order and return steps_run, so the ordering is something the server did rather than something a caller got right. They are strictly additive: every primitive they are built from still works exactly as before, for surgical use.
recall and memory_search now share ONE retrieval guard (storage/retrieval.py): the same absolute floor and relative alpha the Intent Gate applies. Previously memory_search had no floor at all while intent_open had both, so the same store answered the same question differently depending on which tool the caller reached for. They still differ in what they do with the verdict — memory_search annotates every row and drops nothing, recall filters by default and reports the rejected counts — but they can no longer disagree about what counts as a match.
The Intent Gate (claude/intent-gate/INTENT_GATE_CHARTER.md) is a per-namespace opt-in (variant_profiles.profile.intent_gate: "on"): mutating tools gain a deterministic Tier-0 pre-flight (two-phase preview/confirm for supersession + delete, dependency-freshness flags, compact gate ack block), intent_open adds the Tier-1 memory-similarity critic, and Tier 2 (LLM reasoning over the direct Anthropic API — never MCP sampling) ships behind tier2: "on" (default off). Default-profile namespaces are byte-identical to the pre-gate server.
/healthz (liveness) and the /admin token dashboard are served separately (not MCP tools).
`namespace` == project == tenant. One namespace per project (e.g. acme-billing), with conventional sub-scopes by key prefix (coord/…, knowledge/…). Every per-project tool takes a required namespace and every query filters on it — there are no implicit cross-project reads. The session and session_event tables carry namespace too, so episodic memory is scoped like everything else.
Artifacts are the deliberate exception: they are content-addressed (sha256) and dedup globally, so they are not tenant-scoped — the hash is the capability.
The per-surface tokens scope which client surface connects, not which project it may touch: any holder of any active token can pass any namespace, so namespace remains a soft boundary — real isolation for honest clients, not enforced against a misbehaving one.
v2 auth roadmap — per-project tokens/roles. A token scoped to
acme-billingmust not be able to read or writeother-project. Until then,
treat the namespace boundary as a convention enforced by client configuration,
not by the server. (See REUSABILITY.md → "namespace is the tenant boundary".)
MCP tokens are stored in Postgres (admin_auth_tokens) and rotatable from `/admin` without a redeploy. There is one active token per surface:
| surface | label | how the client sends it |
|---|---|---|
| claude.ai web connector | web | ?token= in the URL (the web connector can't send headers) |
| Claude Desktop and the Claude Code CLI | desktop-cli | Authorization: Bearer |
| Cursor | cursor | Authorization: Bearer (via .cursor/mcp.json) |
The gate accepts any active token, so each surface can be rotated or revoked independently — rotating web never disturbs desktop-cli or cursor. The /admin page shows one card per surface with a ready-to-paste URL/command and its own rotate button.
MCP_AUTH_TOKEN seeds the `web` token on initial boot (so an existing claude.ai connector keeps working); desktop-cli and cursor are auto-generated. After first boot the dashboard is the source of truth.
/admin is password-gated by `ADMIN_PASSWORD` (signed, HttpOnly session cookie, CSRF-protected). Without it the dashboard refuses logins.GET /healthz, the streamed GET /artifact/{sha256}, and /admin (which self-authenticates).Stateless transport. /mcp runs in stateless HTTP mode (http_app(stateless_http=True)): every request is self-contained, with no in-memory session affinity. Client sessions therefore survive VM restarts/redeploys, and the three surfaces share no server-side session state.
AsyncConnectionPool created in the FastAPI lifespan (app.py), injected via deps. Nothing else opens a connection. The pool is built with check=AsyncConnectionPool.check_connection, so a connection terminated server-side while idle is validated and discarded on checkout, never handed to a caller.config.py (pydantic-settings) — the only place secrets are read.StorageBackend ABC (storage/base.py) implemented by PostgresBackend; the 18 tools map 1:1 onto it._retry_on_disconnect), so e.g. OperationalError: terminating connection due to administrator command (SQLSTATE 57P01, Neon scale-down / PgBouncer) is retried on a fresh pooled connection instead of surfacing to the caller. Only genuine disconnects (08xxx / 57P0x / an already-closed connection) are retried — other operational errors (lock timeout, too-many-connections) surface unchanged. Writes retry only when a replay is safe: artifact_put (content-addressed) always, and memory_save/handoff_save/memory_delete only when given an event_id (exactly-once). The session_* writes also retry, with an explicit tradeoff: a drop in the narrow commit-ack window means session_create may orphan an empty, unreferenced session row, and session_append_event is at-least-once (a replay can append one duplicate event). For an append-only session log that beats failing the call outright; a save with no event_id still runs once and surfaces the error.sanitize strips forged delimiters/control chars; reads wrap values in << >> markers (lethal-trifecta defense). Note: the value (and session-event payload) fields come back wrapped, so a consumer that needs the raw value — e.g. to json.loads a value that was a JSON string — must strip the markers first. Use storage.sanitize.unwrap_value (or strip_untrusted for a single string); the wrapping stays applied on every read.pool.wait()), 50 MB artifact cap, ranged blob reads, idempotent event_id writes, idempotent blob backfill.VOYAGE_API_KEY is set, every memory_save embeds the entry (Voyage, voyage-3.5-lite, 1024-dim) into a nullable embedding vector(1024) column with an HNSW cosine index, and memory_search ranks live entries by meaning (embedding <=> query), then backfills keyword/substring matches up to limit. Embedding is best-effort: it runs before a connection is taken and never blocks (or fails) a write, and with no key the column stays NULL and search degrades to pure keyword — the pre-Phase-3 behavior. Every leg filters on namespace first (no cross-project recall). After enabling a key on an existing DB, embed old rows once with python scripts/backfill_embeddings.py (idempotent, only touches NULL rows).memory_search sets hnsw.ef_search per-statement (transaction-local, semantic leg only) from HNSW_EF_SEARCH (default 100; pgvector's own default is 40). Higher = better recall, slightly slower search; it must be >= the search limit to take effect. Small stores return the same rows regardless, so the default is safe to leave alone — raise it (e.g. 200) if a large tenant reports missing results, lower it toward 40 to shave latency. Very large tenants can also tune the index build parameters (m, ef_construction); see migrations/0002_embeddings.sql (changing those requires recreating the index).claim (with meta.repo + meta.pr/meta.branch) is resolved against live GitHub — is PR #N merged? what is branch X's head? — and stamped with an append-only verdict; without access it stays unverifiable (never a wrong current). Access is sourced in priority order: an explicit GITHUB_TOKEN (read-only repo + PRs), e只显示了开头部分;其余内容请在仓库中阅读