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Description from the maker (original English)
Persistent, Solana-aware project memory for AI coding agents. Typed entities + git-aware diffs.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
GMEM_DBYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"gmem": {
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "your-value"
}
}
}
}Run this in your terminal
claude mcp add gmem --env GMEM_DB=your-value -- npx -y @yksanjo/gmemFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"gmem": {
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"gmem": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@yksanjo/gmem"
],
"env": {
"GMEM_DB": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
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GMEM_DB envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account yksanjo, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (1.1.0) reached the registry 6 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
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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.