Peek Plugin for Claude Code: Automatic Steering Through Session Memory

What Peek Does
Peek is a plugin for Claude Code that addresses the problem of the AI assistant ignoring markdown files and user preferences after plan mode. The developers built it after getting tired of Claude Code not following their markdown files consistently.
How It Works
The plugin automatically captures memories and corrections without requiring manual reminders. It merges, updates, and distills these memories, then injects the most relevant ones after each user prompt. This happens automatically without needing to remind Claude Code to use the corrections.
Technical Approach
Peek uses fusion search with multiple components:
- User prompt embeddings + BM25
- Correction embeddings + BM25
- Time decay weighting
- Target query embeddings
- Exclusion filters
- Metadata hard filters (such as specific files)
Setup Commands
From the Claude Code interface:
/plugin marketplace add Project-White-Rabbit/peek-claude-plugin
Then:
/plugin install peek
After installation:
/exit
Resume Claude Code:
claude --resume
Login to Peek:
/peek:login
Context and Limitations
The developers mention they've tried various approaches before building Peek: heavily using plan mode (which works well), CLAUDE.md, AGENTS.md, MEMORY.md files, local context folders (with upkeep challenges), Cursor rules (for Cursor users), and claude-mem (an open-source tool that handles session continuity but not steering).
The team is currently working on benchmarks to measure how effective context injection actually is for steering Claude Code. They acknowledge needing to improve extraction, search algorithms, and add more integrations. Their broader vision involves creating a real-time, personalized context layer for AI agents that can understand user-specific references and bring personal context into a secure, structured layer accessible to multiple agents.
📖 Read the full source: HN AI Agents
👀 See Also

Exploring the Claude Code Guidelines: A Minimalist Approach in 65 Lines
The Claude Code extension encapsulates essential AI coding principles in just 65 lines of Markdown, emphasizing 'Think Before Coding'. Despite its simplicity, it has gained notable traction among developers.

FUTO Swipe: Open-Source Swipe Typing Models Match Big Tech Accuracy
FUTO releases open-source swipe typing models and a 1M swipe dataset. Encoder (635K params) + ContextLM (1.5M) + decoder (304K) achieve ~4% top-4 fail rate. Fully offline in FUTO Keyboard.

TideSurf: DOM compression tool reduces web agent token usage 30x, speeds TTFT 12x
TideSurf v0.3 converts rendered DOM to markdown-like compressed format, reducing token consumption by 32x on GitHub pages versus raw DOM while adding 18 interactive tools for LLM agents.

Reddit User Shares AI Tool for Gathering Financial Account Balances
A Reddit post on r/openclaw presents an AI agent designed to streamline the collection of financial account balances using Python. Users discuss automation potential via custom scripts leveraging APIs like Plaid.