Recall: A Persistent Memory MCP Server for Claude Code

Recall is an MCP server that provides Claude Code with persistent memory across sessions, addressing the issue where each new session starts from zero. The tool ships as a native Claude Code plugin and is available via /plugin install recall@claude-plugins-official, with setup initiated by /recall:setup to connect an API key.
Core Features
The system implements four lifecycle hooks:
- session-start: Loads recent memories and decisions
- observe: Silently captures important changes after file edits, filtering for high-signal events like git commits, test runs, and architectural decisions to avoid noise
- pre-compact: Saves critical state before context compaction to preserve nuanced reasoning that would otherwise be lost (e.g., "we chose Redis over Postgres because of X, Y, Z" becoming just "uses Redis")
- session-end: Writes a summary for the next session
Technical Implementation
Recall uses semantic search with embeddings, meaning Claude doesn't receive a wall of text but instead gets contextually relevant memories for the current task. The developer notes that auto-capture is tricky—storing every file edit creates noise, so the observe hook filters for meaningful events.
For team usage, the system implements a tenant + workspace model to handle workspace isolation and selective sharing across multiple Claude sessions. The pre-compact hook is identified as the most valuable feature, as compaction often eliminates nuanced decisions.
The project is open source under MIT license at github.com/joseairosa/recall, with a hosted version available at recallmcp.com that includes a free tier.
📖 Read the full source: r/ClaudeAI
👀 See Also
Apple Silicon macOS VMs: 11–16× Faster LLM Inference with Metal Capability Shim
Cua's process-scoped Metal capability shim unlocks newer kernels in macOS VMs, boosting llama.cpp inference up to 16× on Apple Silicon.
Lovelace: Project Management for Claude Code That Lives in Your Repo
A desktop app where tickets, docs, and session records are Markdown files inside your repo. The app renders a kanban board from the files, and Claude works the same files through 8 MCP tools. Free, no account needed.

SMELT compiler reduces OpenClaw workspace token usage by up to 95%
SMELT compiles OpenClaw workspace markdown files into a denser runtime form, sending only relevant content to AI models. Benchmarks show token reductions from 76.1% to 95.5% on queries, avoiding reprocessing of static files like USER.md and SOUR.md on every message.

Introducing Roam-Code CLI: A Faster, Deterministic Alternative for Code Exploration
Roam-Code CLI replaces Claude Code's explore phase with a faster, deterministic alternative that indexes codebases for improved efficiency.