LoreConvo: MCP Server Adds Persistent Session Memory to Claude Code
What LoreConvo Does
LoreConvo is a local-first MCP server that gives Claude persistent session memory, solving the problem of context loss between sessions. The developer built it while working on a complex finance automation project with a 19-node LangGraph pipeline and multiple MCP servers.
Key Features
- Auto-saves sessions via Claude Code hooks (post-session hook triggers save)
- Auto-loads relevant context on session start (pre-session hook calls get_recent_sessions)
- Cross-surface persistence — context carries between Claude Code, Cowork, and Chat
- Full-text search across all past sessions
- 12 MCP tools for AI-native access
- Local-first architecture using SQLite
Practical Impact
Sessions that used to start with 5 minutes of re-contexting now start with Claude already knowing the project state, recent decisions, and open questions. This saves roughly 3,000-8,000 tokens per session in re-contexting overhead.
Companion Tool
The developer also built LoreDocs for project knowledge management, featuring 34 MCP tools, multi-vault architecture, document versioning, and context injection.
Availability
Both tools are free for personal use under BSL 1.1 (converts to Apache 2.0 in 2030). The code is available on GitHub: LoreConvo at https://github.com/labyrinth-analytics/loreconvo and LoreDocs at https://github.com/labyrinth-analytics/loredocs.
📖 Read the full source: r/ClaudeAI
👀 See Also
GitAgent: An Open Standard for Portable AI Agents in Git Repos
GitAgent is an open specification that defines AI agents through three core files in a git repository: agent.yaml for configuration, SOUL.md for personality/instructions, and SKILL.md for capabilities. The CLI allows running any agent repo directly with commands like npx @open-gitagent/gitagent run -r https://github.com/user/agent -a claude.
log-context-mcp: MCP tool reduces log token usage by 96% for Claude debugging
log-context-mcp is an MCP tool that preprocesses log files before they reach Claude's context, deduplicating lines, grouping stack traces, and stripping noise to reduce token usage. Testing on a 2000-line Apache log showed 96.5% reduction while correctly identifying root causes.
AI Code Review Benchmark: Claude, Gemini, Codex, Qwen, and MiniMax Compared
A benchmark tested five AI models on 15 Milvus pull requests with known bugs. Claude detected 53% of bugs in raw mode, while adversarial debate between models increased detection to 80%.
Session Siphon: Open Source Tool Consolidates AI Coding Agent Conversations
Session Siphon is a free, open source tool that consolidates and indexes conversation history from multiple AI coding agents across different providers and machines. The developer created it using Claude to solve the problem of tracking conversations across different platforms.