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Melchizedek

by louis49
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Melchizedek

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Persistent memory for Claude Code. Automatically indexes every conversation and provides production-grade hybrid search (BM25 + vectors + reranker) via MCP tools. 100% local, zero config, zero API keys, zero invoice.

Why Melchizedek?

Claude Code forgets everything between sessions - and knows nothing about your other projects. Melchizedek fixes both.

It runs silently in the background - indexing your conversations as you work - then gives Claude the ability to search across your entire history, across all projects: past debugging sessions, architectural decisions, error solutions, code patterns.

No cloud. No API keys. No config. Plug and ask.

How it works

~/.claude/projects/**/*.jsonl       (your conversation transcripts - read-only)
        |
        v
  SessionEnd hook                   (auto-triggers after each session)
        |
        v
  +-----------------+
  |  Indexer         |    Parse JSONL -> chunk pairs -> SHA-256 dedup
  |  (better-sqlite3)|    FTS5 tokenize -> vector embed (optional)
  +-----------------+
        |
        v
  ~/.melchizedek/memory.db           (single SQLite file, WAL mode)
        |
        v
  +-----------------+
  |  MCP Server      |    16 search & management tools
  |  (stdio)         |    Hybrid: BM25 + vectors + RRF + reranker
  +-----------------+
        |
        v
  Claude Code                       (searches your history via MCP)

Search pipeline - 4 levels of graceful degradation

Every layer is optional. The plugin works with BM25 alone and gets better as more components are available.

Level

Component

What it adds

Dependency

1

BM25 (FTS5)

Keyword search with stemming

None (always active)

2

Dual vectors (sqlite-vec)

Semantic search - text (MiniLM 384d) + code (Jina 768d)

@huggingface/transformers (optional)

3

RRF fusion

Merges BM25 + text vectors + code vectors via Reciprocal Rank Fusion

Vectors enabled

4

Reranker

Cross-encoder re-scoring of top results

Transformers.js or node-llama-cpp (optional)

Performance

Measured with npm run bench - 100 sessions, 1 000 chunks, on a single SQLite file.

Metric

Result

Target

Indexation (100 sessions)

~80 ms

< 10 s

BM25 search (mean)

~0.2 ms

< 50 ms

DB size (100 sessions)

~1.4 MB

< 30 MB

Tokens per search

~125

< 2 000

Quick Start

npm (recommended)

npm install -g melchizedek

Add the MCP server to Claude Code:

claude mcp add --scope user melchizedek -- melchizedek-server

npx (no install)

claude mcp add --scope user melchizedek -- npx melchizedek-server

From source

git clone https://github.com/louis49/melchizedek.git
cd melchizedek && npm install && npm run build
claude --mcp-config .mcp.json

Claude Code plugin marketplace (coming soon)

Plugin review pending. In the meantime, use npm or npx install above.

claude plugin install melchizedek   # not yet available

Setting up hooks (automatic indexing)

The MCP server provides search tools, but hooks trigger automatic indexing. Without hooks, you'd need to manually index sessions.

For marketplace installs, hooks are configured automatically. For npm/npx/source installs, add hooks to ~/.claude/settings.json.

See docs/installation.md for the full JSON configuration, hook reference, and troubleshooting.

After setup, restart Claude Code. Indexing starts automatically.

MCP Tools

Search (start here)

Tool

Description

m9k_search

Search indexed conversations. Returns compact snippets. Current project boosted. Supports since/until date filters and order (score, date_asc, date_desc).

m9k_context

Get a chunk with surrounding context (adjacent chunks in the same session).

m9k_full

Retrieve full content of chunks by IDs.

Progressive retrieval pattern - search returns ~50 tokens/result, context ~200-300, full ~500-1000. Start with m9k_search, drill down only when needed. 4x token savings vs loading everything.

Context-aware ranking - results from your current project (×1.5) and current session (×1.2) are automatically promoted. Cross-project results remain visible.

Specialized search

Tool

Description

m9k_file_history

Find past conversations that touched a specific file.

m9k_errors

Find past solutions for an error message.

m9k_similar_work

Find past approaches to similar tasks. Prioritizes rich metadata.

Memory management

Tool

Description

m9k_save

Manually save a memory note for future recall.

m9k_sessions

List all indexed sessions, optionally filtered by project.

m9k_info

Show memory index info: corpus size, search pipeline, embedding worker, usage metrics.

m9k_config

View or update plugin configuration.

m9k_forget

Permanently remove a chunk from the index.

m9k_delete_session

Delete a session from the index.

m9k_ignore_project

Exclude a project from indexing. Future sessions won't be indexed, existing ones optionally purged.

m9k_unignore_project

Re-enable indexing for a previously ignored project. Purged data is not restored.

m9k_restart

Restart the MCP server to load fresh code after npm run build. Supports force: true for stuck processes.

Usage guide

Tool

Description

__USAGE_GUIDE

Phantom tool. Its description teaches Claude the retrieval pattern and available tools.

Configuration

Zero config by default. Everything is tunable via m9k_config or environment variables.

Setting

Default

Env var

Database path

~/.melchizedek/memory.db

M9K_DB_PATH

Daemon mode

enabled

M9K_NO_DAEMON=1 to disable

Log level

warn

M9K_LOG_LEVEL

Embeddings enabled

true

M9K_EMBEDDINGS=false to disable

Reranker enabled

true

M9K_RERANKER=false to disable

See docs/configuration.md for the full settings reference (20+ options, env vars, config file examples).

Enhanced Search

Melchizedek works out of the box with BM25 keyword search. Text embeddings (MiniLM) download automatically on first use for semantic search.

For GPU-accelerated code embeddings (Ollama), cross-encoder reranking (GGUF models), platform-specific setup guides, and the full model reference, see Enhanced Search Setup.

How is this different?

Melchizedek

claude-historian-mcp

claude-mem

episodic-memory

mcp-memory-service

GitHub stars npm

GitHub stars npm

GitHub stars npm

GitHub stars

GitHub stars PyPI

Philosophy

Search engine - indexes everything, you search

Search engine - scans JSONL on demand

Notebook - AI compresses & saves

Search engine

Notebook - AI decides what to store

Indexes raw conversations

Yes (JSONL transcripts)

Yes (direct JSONL read, no persistent index)

Compressed summaries

Yes (JSONL)

No (manual store_memory)

Retroactive on install

Yes (backfills all history)

Yes (reads existing files)

No

Yes

No (empty at start)

Search

BM25 + vectors + RRF + reranker

TF-IDF + fuzzy matching

FTS5 + ChromaDB

Vectors only

BM25 + vectors

Progressive retrieval

3 layers (search/context/full)

No

No

No

No

100% offline

Yes

Yes

No (needs API for compression)

Yes

Yes

Single-file storage

SQLite

None (reads raw JSONL)

SQLite + ChromaDB

SQLite

SQLite-vec

Zero config

Yes

Yes

Yes

Yes

Yes

MCP tools

16

10

4

2

12

License

MIT

MIT

AGPL-3.0

MIT

Apache-2.0

Dual embedding (text + code)

Yes (MiniLM + Jina Code)

No

No

No

No

Configurable models

Yes (Transformers.js or Ollama)

No

No (Chroma internal)

No (hardcoded)

Yes (ONNX, Ollama, OpenAI, Cloudflare)

Reranker

Cross-encoder (ONNX, GGUF, or HTTP)

No

No

No

Quality scorer (not search reranker)

Privacy

All local, <private> tag redaction

All local

Sends data to Anthropic API

All local

All local

Multi-instance

Singleton daemon - N Claude windows share 1 process (Unix socket / Windows named pipe, local fallback)

N separate processes

Shared HTTP worker (:37777)

N separate processes

Shared HTTP server

Inspirations

This project stands on the shoulders of others. Key ideas borrowed from:

Project

What we took

CASS

RRF hybrid fusion, SHA-256 dedup, auto-fuzzy fallback

GitHub stars

claude-historian-mcp

Specialized MCP tools (file_history, error_solutions)

GitHub stars npm

claude-diary

PreCompact hook (archive before /compact)

GitHub stars

Known issues

  • Session boost inactive - Claude Code currently sends an empty session_id in the SessionStart hook stdin payload, preventing the ×1.2 session boost from working. The ×1.5 project boost is unaffected and provides the primary context-aware ranking. Related upstream issues: #13668 (empty transcript_path), #9188 (stale session_id). Melchizedek's session boost code is tested and ready, and will activate automatically when the upstream fix lands.

Privacy

  • Zero telemetry. No tracking, no analytics, no network calls (except optional lazy model download).

  • Read-only on transcripts. Never writes to ~/.claude/projects/. All data in ~/.melchizedek/.

  • <private> tag support. Content between <private>...</private> is replaced with [REDACTED] before indexing.

  • Local-only. Your conversations never leave your machine.

Requirements

  • Node.js >= 20

  • Claude Code >= 2.0

  • macOS, Linux, or Windows

License

MIT

"Without father, without mother, without genealogy, having neither beginning of days nor end of life."

  • Hebrews 7:3

Built by @louis49

Install Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

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