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
git-prism v0.9.0: Give AI Coding Agents Structured Diffs via MCP
git-prism is an MCP server that replaces raw git diff text with structured JSON for AI coding agents. v0.9.0 intercepts git calls at the PATH layer, catching subprocess and gh commands.
LORE.md: An Open Standard for Extracting Structured Knowledge from AI Conversations
LORE.md is an open standard for extracting durable knowledge from AI conversations into a structured format. It captures decisions with rationale, insights, patterns, open questions, and next steps, with everything linking across sessions.
Mozilla Thunderbolt: Open-Source Enterprise AI Client for Self-Hosted Infrastructure
Mozilla announced Thunderbolt, an open-source AI client under MPL 2.0 license designed for organizations to deploy self-hosted AI infrastructure with model choice, enterprise data integration, and cross-platform native applications.
LTM: A JSON Protocol for Portable Agent Memory Across Models and Machines
LTM is a JSON protocol (Core Memory Packet) plus CLI/server for persisting agent context—dead ends, constraints, next steps—across models, editors, and machines. Packets are 2-5 KB, redact secrets, and support MCP.