GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Persistent, Solana-aware project memory for AI coding agents. Typed entities + git-aware diffs.
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。
GMEM_DB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": {
"gmem": {
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add gmem --env GMEM_DB=your-value -- npx -y @yksanjo/gmem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": {
"gmem": {
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "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": {
"gmem": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "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。
GMEM_DB 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7日
注册名称已通过 GitHub 账户 yksanjo 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(1.1.0)于6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。你的电脑上还需要有 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
Persistent project memory for Solana AI agents.
A Model Context Protocol (MCP) server that gives AI coding agents — Claude Code, Cursor, or anything that speaks MCP — durable, Solana-aware memory of a project across sessions: program IDs, IDLs, PDA seeds, deployment state, architectural decisions, audit findings. So agents stop forgetting what they built yesterday.
Status: v1.2 — stable, with EVM support and agent trust scoring. Nine MCP tools, real implementations (no stubs), backward-compatible wire format:
Anchor.toml / workspace Cargo.toml, override with GMEM_DB)(kind, natural_id, version) row; reads return the latest; full history available via the in-process Store APIgmem.ingest_anchor parses Anchor.toml, captures IDL sha256s, records git HEAD as sourceCommit per Programgmem.solana_context reads ~/.config/solana/cli/config.yml, classifies the cluster, derives the active keypair's pubkey (secret never leaks). gmem.write on a Decision auto-attributes author + authorClustergmem.diff accepts both ISO timestamps and git refs (HEAD, HEAD~3, branch names, full and short SHAs)gmem.ingest_hardhat parses Hardhat / hardhat-deploy workspaces, classifies networks into canonical chain ids (base-mainnet 8453, optimism-mainnet 10, polygon-mainnet 137, arbitrum-one 42161, ethereum-mainnet 1, plus testnets), captures a reorder-invariant ABI SHA-256. New Contract entity kind for EVM smart contracts.SPEC.mdschema/Solana has moved decisively toward an agent-first developer experience. The Foundation's awesome-solana-ai repo indexes a strong layer of *stateless* reference skills — solana-dev-skill, magicblock-dev-skill, metaplex-skill, helius-phantom-skill, solana-game-skill, and more — that teach agents *how* to do things. The Solana Developer MCP exposes documentation. What's missing is the layer above: persistent project memory.
Today every Claude Code session on a Solana project starts cold. The agent doesn't remember the program ID it deployed yesterday, the PDA seeds it chose two weeks ago, the audit finding from last sprint, or why a specific Jupiter integration was rejected. The developer compensates by pasting context, hand-maintaining NOTES files, or re-explaining the project every session. That is a tax on every agent-assisted Solana developer.
gmem fixes this by being opinionated about Solana primitives — programs, accounts, instructions, PDAs, IDLs, cluster state, Anchor configs — rather than being a generic key-value store. It complements every existing skill in awesome-solana-ai rather than competing with any of them.
npm install -g @yksanjo/gmem
Or, to run it without a global install:
npx @yksanjo/gmem
The installed binary is still called gmem.
Or, to hack on the source:
git clone https://github.com/yksanjo/gmem.git ~/gmem
cd ~/gmem && npm install && npm run build
Then point your MCP client at it. For Claude Code:
// ~/.claude/mcp_servers.json
{ "mcpServers": { "gmem": { "command": "node", "args": ["/absolute/path/to/gmem/dist/index.js"], "env": { "GMEM_DB": "~/.gmem/memory.db" } } } }
| Tool | Purpose |
|---|---|
gmem.recall(query) | Retrieve memory entries relevant to a natural-language query, ranked by BM25 + recency |
gmem.write(entity) | Persist a typed memory entry (Program / Account / Instruction / Decision / Finding / Integration); append-only |
gmem.diff(from, to) | Show how memory state changed between two points in time — accepts ISO timestamps OR git commit refs (HEAD, HEAD~3, branch names, full or short SHAs) |
gmem.list_decisions() | List all Decision entries for the active project, newest first |
gmem.ingest_anchor() | Auto-ingest an Anchor workspace: parse Anchor.toml, capture IDL sha256s from target/idl/, record the current git HEAD as source commit, write one Program per (program, cluster) pair |
gmem.solana_context() | Read the active Solana CLI config (~/.config/solana/cli/config.yml), return the configured cluster + RPC URL + active-keypair pubkey. Used by gmem.write to auto-attribute Decision entries to the developer wallet. Never returns the secret key. |
gmem.ingest_hardhat() | v1.1 — Auto-ingest a Hardhat / EVM workspace: parses hardhat.config.{ts,js,cjs,mjs}, reads every deployment artifact under deployments/ / .json (the hardhat-deploy convention), classifies the network into a canonical chain (base-mainnet, optimism-mainnet, etc.), records a reorder-invariant ABI SHA-256 and git HEAD as sourceCommit. Writes one Contract entity per (chain, address) pair. |
gmem.ingest_agent_activity(pubkey, cluster?) | v1.2 — Pull Solana activity for an autonomous-agent wallet via Helius RPC, aggregate it (tx count, distinct peers, failure ratio, wallet age, sanctioned-neighbor count), score it with the transparent v1 heuristic, and write one Agent entity per (cluster, pubkey). Set HELIUS_API_KEY or pass apiKey; fixturePath runs offline against a snapshot. |
gmem.score_agent(pubkey, cluster?) | v1.2 — Return the latest stored Agent trust score with the heuristic breakdown showing which factors moved it. Read-only: no RPC call, no write — run gmem.ingest_agent_activity first. |
Full input/output JSON schemas are in SPEC.md.
The examples/ folder in this repo demonstrates the *shape* of project memory with synthetic projects. These companion repos build the same shape from public Solana programs you've probably heard of, with every entity citing its source:
drift_* instructions surfaced automatically).Decision entries.Each repo is npm install && npm run build-runnable; the resulting gmem.db is committed for direct inspection.
To keep the v1 scope honest, gmem v1.0 does NOT include: hosted multi-user sync, cross-project search, agent reputation, on-chain memory anchoring. These are tracked in ROADMAP.md for v1.x / v2.
gmem.diffsolana-foundation/awesome-solana-aiContract entity, gmem.ingest_hardhat tool, worked example 04-evm-vaultAgent entity, gmem.ingest_agent_activity + gmem.score_agent tools, worked example 05-agent-reputation, MCP Registry surface (server.json 1.2.0)This is an early-stage spec. The most useful thing right now is feedback on SPEC.md — does the entity model cover the Solana primitives that matter to *your* project? Open an issue or PR.
MIT — see LICENSE.