th-memory-mcp
Requirements
- Node.js 22.23.4+, 24.22.1+, or 26.12.1+ — patched releases only; the server uses Node-only APIs (
better-sqlite3native build,import.meta.url). Node.js 20 is EOL and unsupported. CI tests the minimum patched version of each supported line (22/24/26). - npm — for
npm install,npm run build,npm test. No external services, accounts, or API keys — everything lives in a single local SQLite file. - OpenCode — the host that loads the MCP server and the auto-capture plugin (any build with MCP over stdio + plugins). The plugin uses
node:sqliteon OpenCode Desktop/Node 22.5+ and falls back tobun:sqliteon the Bun-based CLI. - OS: Windows / macOS / Linux — cross-platform (Node); Windows: set
MEMORY_DB_PATHwithsetx, macOS/Linux:exportin your shell profile.
Security: Use a patched Node.js release — check your runtime with
npx is-my-node-vulnerable.npm auditcovers npm dependencies only, not Node.js core CVEs.
Quick Start
Fastest path: npm run quickstart (after cloning) builds, wires opencode.json, deploys the plugin, and sets MEMORY_DB_PATH — the steps below are the manual equivalent. npm alternative: npm install -g th-memory-mcp (or npx th-memory-mcp) and point mcp.command to th-memory-mcp instead of dist/index.js (plugin still from this repo; not on GitHub Packages anymore).
# 1. Clone and build
git clone https://github.com/worakorn-prince/th-memory-mcp.git
cd th-memory-mcp && npm install && npm run build
# 2. Share one DB between the server and the plugin
setx MEMORY_DB_PATH "$PWD/data/memory.db" # Windows (PowerShell)
# export MEMORY_DB_PATH="$PWD/data/memory.db" # macOS/Linux — add to your shell profile (~/.zshrc)
- Merge this into
~/.config/opencode/opencode.json(replace<REPO>with the absolute clone path; ready-made block inopencode.example.json).MEMORY_DB_PATHmust be the SAME file for server and plugin — a system/user-level env var covers both;environmentbelow covers the server only. Example rules:AGENTS.memory.example.md(attachable at project level).
{ "instructions": ["<REPO>/AGENTS.memory.example.md"],
"mcp": { "memory": { "type": "local", "command": ["node", "<REPO>/dist/index.js"], "enabled": true, "environment": { "MEMORY_DB_PATH": "<REPO>/data/memory.db" } } } }
- (Optional) Auto-capture: copy
src/plugin/learning-capture.ts→~/.config/opencode/plugins/ - Restart OpenCode (config loads at startup only), then try: "Remember that I prefer pnpm" → new session → "What package manager do I prefer?"
If startup reports Failed to load plugin ... Received protocol 'bun:', you copied an older plugin. Re-copy the current src/plugin/learning-capture.ts; it loads node:sqlite first and only falls back to bun:sqlite under Bun.
Architecture
OpenCode loads the plugin learning-capture (Node/Bun) — auto-captures prompt/tool/error into the DB, injects the profile on compaction — and the MCP server th-memory-mcp (Node stdio) exposing the 16 tools on that same SQLite DB; global rules (memory-protocol.md) teach the AI to use them.
Why th-memory-mcp?
- Context-based learning, not fine-tuning — captures your preferences, corrections, and habits, then recalls them next session; no data leaves your machine.
- 100% local & private — one SQLite file, no cloud, no external API; secrets (
api_key=,password:,token) filtered before storage. - Low overhead & resilient — tool calls are capped (latency < 10 ms, bounded output) and degrade gracefully if the DB is unavailable.
- Open & extensible — MIT licensed; 16 documented tools, rule-based distill, auto-capture plugin; Node +
better-sqlite3only (no extra native extensions).
Highlights
- Structured memory — preferences with confidence scoring plus
lessonrecords (situation → mistake → correction), not just flat facts. - Lifecycle, temporal & conflict-aware — states (active/stale/superseded/archived), confidence/importance/salience scoring, per-type decay, validity intervals for point-in-time truth and supersession chains; duplicate/contradiction resolution keeps both sides of ambiguous evidence.
- Hybrid retrieval —
get_contextblends FTS5 keyword search with dependency-free lexical fuzzy matching (hashed n-gram similarity, 512-dim FNV-1a) via RRF fusion, then assembles a token-budgeted context with optional memory-graph expansion. - Consolidation — clusters similar memories into derived ones with full provenance (
derived_fromlinks). - First-class Thai / i18n — Thai-aware tokenization in distill; Thai and English accepted interchangeably.
Works with other harnesses
A standard MCP server: 16 tools anywhere MCP-over-stdio works; all harnesses share one SQLite file via MEMORY_DB_PATH. Auto-capture needs a hook runtime (built into OpenCode, bridged for Claude Code).
- Claude Code (CLAUDE_CODE_HOOKS.md) — drop-in hooks replace the plugin: capture + profile injection on
UserPromptSubmit/PreCompact, distill onSessionEnd. Qwen Code (QWEN_SETUP.md) — MCP fully; hooks need a small Gemini-CLI adapter. Codex (CODEX_SETUP.md) · Cursor (CURSOR_SETUP.md) — manual tools.
Scripts
Tools (16)
CLI (th-memory)
Usage: th-memory [--db <path>] [--json] [--plain] <command> [options] — per-command help via th-memory <command> --help. highlight/recall --highlight: matches underlined (ESC[4m) on a color TTY, else [mem]…[/mem] markers (piped, --plain, --json).
th-memory remember --category coding_pref --key package_manager --value pnpm
th-memory recall pnpm --limit 5
echo "I prefer pnpm for installs" | th-memory highlight -q pnpm
Daily usage
The AI accepts Thai and English interchangeably; long-term care: npm run distill summarizes stats and prunes interactions older than 30 days.
- "Remember that..." →
remember— save a preference - "Summarize memory" / "distill memory" → Smart Distill — AI reads
get_recent_interactions, finds patterns, saves insights itself - "How is my memory?" / "memory status" →
memory_stats - "Export memory" / "backup memory" →
export_memory - "Search history..." →
search_history· "Forget..." →forget
data/ structure
data/
├── memory.db # SQLite (WAL mode) — main DB (+ .db-wal, .db-shm); path overridable via MEMORY_DB_PATH
└── exports/ # JSON files from export_memory (writeable only in this dir)
# everything in data/ is git-ignored
Known Limitations
- No encryption at rest —
data/memory.dbis plain, unencrypted SQLite (WAL mode,better-sqlite3); "100% local & private" means no cloud/network exfiltration, not encrypted at rest — anyone with filesystem access can read it. For sensitive data: OS full-disk encryption (BitLocker / FileVault / LUKS) or an opt-in SQLCipher build (native rebuild + key management); no in-code encryption by default (src/db/index.tsdocuments this). - Single-user, no auth layer (Batch B-3) —
userId/sessionId/projectIdare caller-supplied with no authentication or authorization check inside the server; scope isolation (retrieval,get_context, graph,consolidate,link_memory,merge_memory) binds only to caller-sent values, so any scope is readable/writable by passing a different id. Suitable for a single-user local process; do not share one server/DB across untrusted users without an auth layer in front enforcing the correctuserId(projectId/sessionId). No auth is built in by design.