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llm-context.py
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llm-context.py

Active·★ 307·Apache-2.0·Updated 2026-10-19
★ Hidden Gem

LLM Context provides smart context management for LLM development, streamlining the process of sharing relevant project files with AI. It leverages intelligent selection and rule-based filtering to ensure optimal context, addressing issues like token limits and manual file fetching.

llm-context.py sits in the Memory & Context category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Intelligent Selection: Rules automatically include/exclude appropriate files. A representative use case is Human-centric context sharing for LLM chat interfaces via clipboard.. The listed license is Apache-2.0. GitHub stars are currently 307. Relevant tags include LLM Context Management, AI Agent Tools.

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This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#LLM Context Management#AI Agent Tools#Code Context#Prompt Engineering#Development Workflow#File Filtering#CLI Utility
$ Install
$ uv tool install "llm-context>=0.6.0"
↗ Visit site★ GitHub
01

Features

01Intelligent Selection: Rules automatically include/exclude appropriate files
02Context Validation: Preview size and selection before generation
03Code Excerpting: Extract structure while reducing tokens for 15+ languages
04MCP Integration: AI accesses additional files without manual intervention
05Composable Rules: Build complex contexts from reusable patterns
02

Why choose it

+Intelligent Selection: Rules automatically include/exclude appropriate files
+Context Validation: Preview size and selection before generation
+Human-centric context sharing for LLM chat interfaces via clipboard.
+Supports 3 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Python
Runtime
Verified via docs
Claude Desktop
AI Platform
Verified via docs
AI Agents
Agent Support
Verified via docs
05

Quick start

1
$ uv tool install "llm-context>=0.6.0"
06

Use cases

↳Human-centric context sharing for LLM chat interfaces via clipboard.
↳AI agents provisioning focused context for sub-tasks via CLI commands.
↳AI agents interacting with MCP tools to fetch additional files and explore code structure.
↳AI-assisted rule creation for dynamic task context definition.
07

Alternatives

⚡Top VS:
VSratel★484→VScaura-memclaw★504→VSemulo★298→

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases
VS
wavescope-mcp
★45
→
ratel logo
ratel★ 484
Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 retrieval. No vector DB. No embeddings.
VSCompare→
caura-memclaw logo
caura-memclaw★ 504
Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
VSCompare→
emulo logo
emulo★ 298
Mine your Claude Code and Codex logs into a local you.md agent profile.
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wavescope-mcp logo
wavescope-mcp★ 45
Wavelet-based multi-resolution context management for LLMs via MCP
VSCompare→
neuromesh logo
neuromesh★ 93
The Biomimetic Context Engine & Neural Runtime for AI Coding Assistants
VSCompare→
mex logo
mex★ 1.8k
Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.
VSCompare→
engrim logo
engrim★ 299
The Universal Cross-Model Episodic Memory Standard. Local-first, project-scoped SQLite engine for Google Antigravity, Claude Code, Cursor, Codex CLI, and OpenCode. Zero cloud lock-in.
VSCompare→
EGC logo
EGC★ 67
Your AI remembers your project across sessions and tools. Local-first MCP runtime with persistent memory, shared workflows, and plug-and-play integration.
VSCompare→
See all alternatives →
07
Alternatives
cyberchitta /
llm-context.py
↗

Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.

307Apache-2.0
Last commit3d ago
StatusActive
CategoryMemory & Context
Links
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