claude-mnemonic

skill
Guvenlik Denetimi
Basarisiz
Health Gecti
  • License — License: MIT
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Community trust — 10 GitHub stars
Code Basarisiz
  • rm -rf — Recursive force deletion command in .goreleaser.yaml
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This tool acts as a persistent memory module for the Claude Code CLI. It captures and recalls context, architecture decisions, and coding patterns across different sessions so the AI does not forget previous interactions.

Security Assessment
Overall risk: Medium. The application runs entirely locally and uses local embeddings, meaning it does not send your proprietary code or memory database to external APIs. However, there are a few security concerns to note. The primary issue is its installation method: the README heavily recommends piping a remote script directly into bash (`curl | bash`), which can be a vector for supply chain attacks if the repository is ever compromised. Additionally, the automated rule-based scan flagged a recursive force deletion command (`rm -rf`) inside the `.goreleaser.yaml` file. While this is a standard practice for cleaning up build directories during compilation, it still warrants a quick manual review of the script to ensure it strictly targets build artifacts. There are no hardcoded secrets or dangerous permission requests.

Quality Assessment
The project appears healthy and actively maintained, with repository activity as recent as today. It is licensed under the permissive and standard MIT license. Community trust is currently limited but present, represented by 10 GitHub stars. It is written in Go and recently shipped major updates, including a local knowledge graph and improved search relevance, indicating ongoing developer commitment.

Verdict
Use with caution: The local architecture is safe, but you should inspect the installation script and build files for safety before executing them.
SUMMARY

Memory management and retrieval for Claude Code

README.md

Claude Mnemonic

Give Claude Code a memory that actually remembers.

Release
License
Go


Claude Code forgets everything when your session ends. Claude Mnemonic fixes that.

It captures what Claude learns during your coding sessions - bug fixes, architecture decisions, patterns that work - and brings that knowledge back in future conversations. No more re-explaining your codebase.

Claude Mnemonic Dashboard

What's New in v0.7

  • Two-Stage Retrieval - Cross-encoder reranking for dramatically improved search relevance
  • Knowledge Graph - Automatic relationship detection between observations with visual graph in dashboard
    Knowledge Graph
  • Pattern Detection - Identifies recurring patterns across sessions and projects
  • Importance Scoring - Time decay and voting system to surface the most valuable memories
  • Query Expansion - Reformulates searches to find semantically related content
  • Conflict Detection - Identifies and resolves contradictory observations
  • Observation Lifecycle - Memories can be superseded when better information arrives
Previous: v0.6
  • Auto-Updates - Automatically stays up-to-date with the latest version
  • Slash Command: /restart - Restart the worker directly from Claude Code
  • Local Embeddings - All semantic search runs locally via ONNX Runtime (no external API calls)
  • Async Queue Processing - Non-blocking observation capture for faster sessions
  • Smarter Storage - Filters out system/agent summaries to keep knowledge relevant
  • Improved Reliability - Better handling of connectivity issues and dead connections

Requirements

Dependency Required Purpose
Claude Code CLI Yes Host application (this is a plugin)
jq Yes JSON processing during installation

That's it. No Python. No external services. Everything runs locally.

No API keys needed! Claude Mnemonic uses Claude Code CLI, which works with your existing Claude Pro or Max subscription. No separate API costs.

Install

One command. That's it.

curl -sSL https://raw.githubusercontent.com/lukaszraczylo/claude-mnemonic/main/scripts/install.sh | bash
Windows (PowerShell)
irm https://raw.githubusercontent.com/lukaszraczylo/claude-mnemonic/main/scripts/install.ps1 | iex
Build from source
git clone https://github.com/lukaszraczylo/claude-mnemonic.git
cd claude-mnemonic
make build && make install

Requires: Go 1.24+, Node.js 18+, CGO-compatible compiler

After install, open http://localhost:37777 to see the dashboard. Start a new Claude Code session - memory is now active.

Verifying Release Signatures

All release checksums are signed with cosign using keyless signing. To verify:

# Download the checksum file and its sigstore bundle from the release
cosign verify-blob \
  --certificate-identity-regexp "https://github.com/lukaszraczylo/claude-mnemonic/.*" \
  --certificate-oidc-issuer "https://token.actions.githubusercontent.com" \
  --bundle "checksums.txt.sigstore.json" \
  checksums.txt

What it does

Feature Description
Persistent Memory Observations survive across sessions and restarts
Project Isolation Each project has its own knowledge base
Global Patterns Best practices are shared across all projects
Semantic Search Find relevant context with natural language (local embeddings)
Live Statusline Real-time metrics in Claude Code: `[mnemonic] ● served:42
Web Dashboard Browse and manage memories at localhost:37777
Auto-Updates Automatically downloads and applies new versions
Slash Commands Control the worker directly from Claude Code

How knowledge flows

You code with Claude
        ↓
Claude learns something useful
        ↓
Mnemonic captures it automatically
        ↓
Next session: Claude remembers

Behind the scenes: hooks capture Claude's observations → SQLite stores with full-text search → sqlite-vec enables semantic search with local embeddings (all-MiniLM-L6-v2) → relevant context is injected at session start.

Configuration

Config file: ~/.claude-mnemonic/settings.json

{
  "CLAUDE_MNEMONIC_WORKER_PORT": 37777,
  "CLAUDE_MNEMONIC_CONTEXT_OBSERVATIONS": 100,
  "CLAUDE_MNEMONIC_CONTEXT_FULL_COUNT": 25,
  "CLAUDE_MNEMONIC_RERANKING_ENABLED": true
}

Core Settings

Variable Default What it does
WORKER_PORT 37777 Dashboard & API port
CONTEXT_OBSERVATIONS 100 Max memories per session
CONTEXT_FULL_COUNT 25 Full detail memories (rest are condensed)
CONTEXT_SESSION_COUNT 10 Recent sessions to reference
CONTEXT_RELEVANCE_THRESHOLD 0.3 Minimum similarity score (0.0-1.0) for inclusion
CONTEXT_MAX_PROMPT_RESULTS 10 Max results per prompt search

Reranking Settings (Two-Stage Retrieval)

Variable Default What it does
RERANKING_ENABLED true Enable cross-encoder reranking
RERANKING_CANDIDATES 100 Candidates to retrieve before reranking
RERANKING_RESULTS 10 Final results after reranking
RERANKING_ALPHA 0.7 Score blend: alpha×rerank + (1-alpha)×original
RERANKING_PURE_MODE false Use pure cross-encoder scores only

Embedding Settings

Variable Default What it does
EMBEDDING_MODEL bge-v1.5 Embedding model for semantic search

All variables are prefixed with CLAUDE_MNEMONIC_ in the config file.

Project vs Global scope

Observations are automatically scoped:

  • Project scope (default) - stays within the project directory
  • Global scope - shared everywhere

Global scope triggers on tags like: best-practice, security, architecture, pattern, performance

Example: A bug fix in your auth module stays local. "Always validate JWT server-side" goes global.

MCP Tools

These search tools are available via MCP:

  • search - semantic search across all memories
  • timeline - browse by time
  • decisions - find architecture decisions
  • changes - find code modifications
  • how_it_works - system understanding queries

Slash Commands

Available commands within Claude Code:

Command Description
/restart Restart the worker process when experiencing issues

Auto-Updates

Claude Mnemonic automatically checks for updates and applies them. Updates are downloaded in the background and applied on restart.

  • Automatic update checks on startup
  • Background downloads (up to 250MB)
  • Seamless restart after update
  • Manual trigger: curl -X POST http://127.0.0.1:37777/api/update/apply

Check update status: curl http://127.0.0.1:37777/api/update/status

Troubleshooting

Worker won't start?

lsof -i :37777              # check if port is in use
cat /tmp/claude-mnemonic-worker.log  # view logs

Database locked?

rm -f ~/.claude-mnemonic/*.db-wal ~/.claude-mnemonic/*.db-shm

Worker unresponsive?

# Restart via API
curl -X POST http://127.0.0.1:37777/api/restart

# Or use the slash command in Claude Code
/restart

Check health status:

curl http://127.0.0.1:37777/api/selfcheck

Uninstall

# Remove everything
curl -sSL https://raw.githubusercontent.com/lukaszraczylo/claude-mnemonic/main/scripts/uninstall.sh | bash

# Keep your data
curl -sSL https://raw.githubusercontent.com/lukaszraczylo/claude-mnemonic/main/scripts/uninstall.sh | bash -s -- --keep-data

Architecture

  • SQLite + FTS5 - Full-text search for exact matches
  • sqlite-vec - Vector database embedded in SQLite
  • Two-Stage Retrieval - Bi-encoder (embedding) + cross-encoder (reranking) for high accuracy
  • Local Models - all-MiniLM-L6-v2 for embeddings, BGE reranker for relevance scoring
  • Go - Single binary, no external dependencies

Everything runs locally. No Python. No external vector database. No API calls.

Platform support

Platform Status
macOS Intel Supported
macOS Apple Silicon Supported
Linux amd64 Supported
Linux arm64 Supported
Windows amd64 Supported

Development

make build          # build all
make test           # run tests
make dev            # dev mode with hot reload
make install        # install to Claude plugins

License

MIT


Links: Releases · Issues

Yorumlar (0)

Sonuc bulunamadi