agent-context-system
A persistent local-only memory system for AI coding agents.
Best use case
agent-context-system is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
A persistent local-only memory system for AI coding agents.
Teams using agent-context-system should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/agent-context-system/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How agent-context-system Compares
| Feature / Agent | agent-context-system | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
A persistent local-only memory system for AI coding agents.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# agent-context-system A persistent local-only memory system for AI coding agents. ## Install ``` npx clawhub@latest install agent-context-system ```
Related Skills
memory-system-v2
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.
smart-context
Token-efficient agent behavior — response sizing, context pruning, tool efficiency, and delegation.
project-context-sync
Keep a living project state document updated after each commit, so any agent (or future session) can instantly understand where things stand.
local-system-info
Return system metrics (CPU, RAM, disk, processes) using psutil.
iyeque-local-system-info
Return system metrics (CPU, RAM, disk, processes) using psutil.
alert-system
Smart monitoring with customizable triggers — price alerts (stocks, crypto, products), event monitoring, custom.
auto-context-manager
AI-powered automatic project context management.
context-builder
Generate LLM-optimized codebase context from any directory using context-builder CLI.
filesystem
Advanced filesystem operations - listing, searching, batch processing, and directory analysis for Clawdbot
contextkeeper
ContextKeeper — Safe project state tracking for AI agents.
context-viz
Visualize the current context window usage — token estimates per component (system prompt, tools, workspace files.
telegram-context
Toggle-enabled skill that fetches Telegram message history at session start for conversational continuity.