Yksanjo/Gmem
FreeNot checkedCrypto-aware project memory for AI coding agents. Typed entities for Solana Programs/PDAs and EVM Contracts across Base, Optimism, Polygon, Arbitrum, Ethereum —
About
Crypto-aware project memory for AI coding agents. Typed entities for Solana Programs/PDAs and EVM Contracts across Base, Optimism, Polygon, Arbitrum, Ethereum — plus chain-agnostic Decisions, Findings, and Integrations. Anchor + Hardhat auto-ingest, SQLite + FTS5 BM25 ranking, append-only versioning, git-aware diffs.
README
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: v1.1 — stable, with EVM support. Seven MCP tools, real implementations (no stubs), backward-compatible wire format:
Storage: SQLite via better-sqlite3, one db file per project (auto-resolved from
Anchor.toml/ workspaceCargo.toml, override withGMEM_DB)Ranking: SQLite FTS5 BM25 with a recency boost
Versioning: append-only — every write inserts a new
(kind, natural_id, version)row; reads return the latest; full history available via the in-processStoreAPIAnchor ingest:
gmem.ingest_anchorparsesAnchor.toml, captures IDL sha256s, records git HEAD assourceCommitper ProgramSolana CLI context:
gmem.solana_contextreads~/.config/solana/cli/config.yml, classifies the cluster, derives the active keypair's pubkey (secret never leaks).gmem.writeon a Decision auto-attributesauthor+authorClusterGit-aware diff:
gmem.diffaccepts both ISO timestamps and git refs (HEAD, HEAD~3, branch names, full and short SHAs)EVM support (v1.1):
gmem.ingest_hardhatparses Hardhat /hardhat-deployworkspaces, 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. NewContractentity kind for EVM smart contracts.License: MIT
Spec: see SPEC.md
Entity schemas: see schema/
Why
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.
Install
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" }
}
}
}
Tools exposed (v0.1)
| 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/<network>/<Contract>.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. |
Full input/output JSON schemas are in SPEC.md.
Worked against real Solana projects
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:
- gmem-example-squads-v4 — Squads multisig. Anchor workspace auto-ingest + audit pointers.
- gmem-example-marginfi-v2 —
Marginfi v2 lending. IDL-driven discovery of the embedded Drift integration
(6
drift_*instructions surfaced automatically). - gmem-example-kamino-klend —
Kamino klend. V1/V2 coexistence pattern, first-class flash loans, on-chain
referrer state, sustained per-minor-release audit cadence — all recorded as
Decisionentries.
Each repo is npm install && npm run build-runnable; the resulting gmem.db
is committed for direct inspection.
Out of scope for v1.0
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.
Roadmap
- v0.1 — Open spec + JSON schemas + MCP server stub
- v0.2 — SQLite backend, BM25 ranking, append-only versioning
- v0.3 — Anchor workspace auto-ingest
- v0.4 — Solana CLI context capture + Decision auto-attribution
- v0.5 — git ref resolution in
gmem.diff - v1.0 — Stable release with three worked examples (DeFi vault, cNFT mint, AI agent) — see also PR #168 in solana-foundation/awesome-solana-ai
- v1.1 — EVM / Hardhat support (Base, Optimism, Polygon, Arbitrum, Ethereum, plus testnets),
new
Contractentity,gmem.ingest_hardhattool, worked example 04-evm-vault
Contributing
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.
License
MIT — see LICENSE.
Install Yksanjo/Gmem in Claude Desktop, Claude Code & Cursor
unyly install yksanjo-gmemInstalls into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.
First time? Get the CLI: curl -fsSL https://unyly.org/install | sh
Or configure manually
Run in your terminal:
claude mcp add yksanjo-gmem -- npx -y @yksanjo/gmemFAQ
Is Yksanjo/Gmem MCP free?
Yes, Yksanjo/Gmem MCP is free — one-click install via Unyly at no cost.
Does Yksanjo/Gmem need an API key?
No, Yksanjo/Gmem runs without API keys or environment variables.
Is Yksanjo/Gmem hosted or self-hosted?
Self-hosted: the server runs locally on your machine via the install command above.
How do I install Yksanjo/Gmem in Claude Desktop, Claude Code or Cursor?
Open Yksanjo/Gmem on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
Related MCPs
wenb1n-dev/SmartDB_MCP
A universal database MCP server supporting simultaneous connections to multiple databases. It provides tools for database operations, health analysis, SQL optim
by wenb1n-devPostgres Server
This server enables interaction with PostgreSQL databases through the Model Context Protocol, optimized for the AWS Bedrock AgentCore Runtime. It provides tools
by madhurprashPostgres
Query your database in natural language
by AnthropicPostgreSQL
Read-only database access with schema inspection.
by modelcontextprotocolCompare Yksanjo/Gmem with
Not sure what to pick?
Find your stack in 60 seconds
Author?
Embed badge for your README
Browse similar
All data MCPs
