io.github.worakorn-prince/th-memory-mcp
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
Que pouvez-vous faire avec io.github.worakorn-prince/th-memory-mcp ?
- 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 - Lifecycle, temporal & conflict-aware — states (active/stale/superseded/archived), confidence/importance/salience scoring, per-type decay, validity intervals for point-in-time truth and supersession chains; duplicate/contradiction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 s...
- 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.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
th-memory-mcpclaude mcp add th-memory-mcp -- npx -y th-memory-mcp@2.4.1
{
"mcpServers": {
"th-memory-mcp": {
"command": "npx",
"args": [
"-y",
"th-memory-mcp@2.4.1"
]
}
}
}
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
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).
| Feature | OpenCode | Claude Code | Qwen Code | Codex | Cursor |
|---|---|---|---|---|---|
| 16 MCP tools | ✅ | ✅ | ✅ | ✅ | ✅ |
| Auto-capture (background) | ✅ plugin | ✅ hooks | ⚠️ adapter | ❌ manual | ❌ Rules |
| Profile injection | ✅ compaction | ✅ UserPromptSubmit | ❌ get_profile | ❌ get_profile | ❌ get_profile |
| Lexical fuzzy matching | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) | ✅ (v2.0) |
- 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
| Command | Description |
|---|---|
npm run build | compile TypeScript → dist/ |
npm start | run the MCP server (stdio) from dist/index.js |
npm run distill | interactions → profile sections + prune old data (RETENTION_DAYS, default 30) |
npm test | build + full suite (32 files, 75 tests) |
node test/<name>.test.mjs | run one suite: capture, distill, lifecycle, temporal, conflict, retrieval, graph, context, consolidation, benchmark, security |
node test/smoke.mjs | end-to-end smoke test over JSON-RPC (16 tools) |
Tools (16)
| Tool | Description |
|---|---|
remember | upsert preference (category+key); re-save +0.1 confidence (cap 1.0) |
recall | search preferences + lessons (FTS5) + recent matching interactions — run before a new task |
get_profile | profile sections + top preferences + 5 most recent lessons |
save_lesson | record a lesson from a correction (situation / mistake / correction) |
search_history | search past prompts by keyword (200-char snippets) |
forget | delete one row (preference/lesson/interaction) by id (+type avoids cross-table id clash) |
memory_stats | counts by kind, DB size, oldest/newest interaction, profile sections |
get_recent_interactions | recent raw interactions (filter by kind) — Smart Distill feedstock |
export_memory | export to JSON under data/exports/ only (filename auto-sanitized) |
get_context | task-relevant memories via hybrid retrieval (+ graph expansion), token-budgeted |
consolidate | cluster similar memories via embedding similarity; optionally create derived memories linked via derived_from |
link_memory | typed link between two memories: supports/contradicts/supersedes/derived_from/related_to/caused_by/depends_on |
merge_memory | merge a duplicate into canonical memory (source superseded; provenance in metadata.merged_from) |
update_memory | update fields in place, or create a superseding memory when content changes (supersede=false edits in place) |
import_memory | import from JSON (validates type, dedupes, never overwrites blindly); dry-run by default, apply=true to insert |
extract_memories | scan recent interactions for memory-intent phrases, propose candidates (deterministic, no LLM); dry-run by default, apply=true to create (source=captured) |
CLI (th-memory)
| Binary | Entry | Purpose |
|---|---|---|
th-memory-mcp | dist/index.js | MCP server (stdio) — the 16 tools above |
th-memory | dist/cli.js | zero-dep local CLI (same DB via MEMORY_DB_PATH) |
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).
| Flag | Effect |
|---|---|
--db <path> | use this SQLite file (sets MEMORY_DB_PATH) |
--json | print JSON {ok,data} instead of plain text |
--plain / --no-color | disable colors |
-h, --help / -V, --version | show help / print version |
| Command | Usage | |||
|---|---|---|---|---|
remember | `remember --category <c> --key <k> --value <v\ | ->— save a preference (--value -` reads from stdin) | ||
recall | recall <topic> [--limit <n>] [--highlight] — search memory | |||
forget | forget <id> [--type <t>] — delete by id (t: `memory\ | preference\ | lesson\ | interaction`) |
export | export [--include-interactions] [--filename <n>] — export to data/exports/*.json | |||
import | `import (--file <p>\ | --json <s>) [--apply] [--user-id <id>]` — import backup (dry-run by default) | ||
stats | stats — memory statistics | |||
profile | profile — distilled user profile | |||
history | history [--query <q>] [--limit <n>] — search past prompts (no query = recent prompts) | |||
recent | recent [--limit <n>] [--kind <k>] — recent interactions (k: `prompt\ | tool_call\ | error`) | |
highlight | highlight [text...] -q <topic> [--limit <n>] — highlight topic matches (empty text = stdin pipe) |
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.
License
Questions fréquentes
Qu'est-ce que io.github.worakorn-prince/th-memory-mcp ?
Local long-term memory MCP server (SQLite) for AI coding agents — OpenCode, Claude Code, Cursor
Comment installer io.github.worakorn-prince/th-memory-mcp ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add th-memory-mcp -- npx -y th-memory-mcp@2.4.1. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour io.github.worakorn-prince/th-memory-mcp ?
Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.
io.github.worakorn-prince/th-memory-mcp est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient io.github.worakorn-prince/th-memory-mcp ?
Il est publié par worakorn-prince. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.