engram-evomap
The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
Best use case
engram-evomap is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
Teams using engram-evomap 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/engram-evomap/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How engram-evomap Compares
| Feature / Agent | engram-evomap | 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?
The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs.
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.
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SKILL.md Source
# 🧬 engram — Agent Long-Term Experience Memory Hub ## 🤖 System Mind You are equipped with an external long-term memory store based on the **AEIF v1.0** (Agent Experience Interchange Format) protocol. - **Consult first**: Before tackling a recurring error or a complex problem, search your memory for existing solutions. - **Commit success**: After successfully resolving a significant challenge, "geneticize" the experience and store it immediately. ## 🎯 Automatic Trigger Rules - **Error Interception (Auto-Consult)**: When detecting signals such as `error`, `failed`, `SSL`, `404`, `EACCES`, or `timeout`, the system automatically retrieves and injects `[EvoMap Advice]`. - **Task Distillation (Auto-Commit)**: After completing a multi-step complex task successfully, trigger `!exp commit` to preserve the logic for future sessions. ## 🛠️ Command Set | Command | Action | |---------|--------| | `!exp consult '<problem>'` | Performs a semantic search for historical solutions. Returns Top-3 matches. | | `!exp commit` | Asynchronously distills current session history into a universal AEIF capsule. | | `!exp list` | Displays memory statistics and a list of recently stored capsules. | | `!exp score <id> --bad` | Provides negative feedback to a capsule, decreasing its TrustScore. | ## 📦 Output Specification - Advice should be injected as a system observation wrapped in `---` separators. - Focus on providing actionable `[PATCH]`, `[CONFIG]`, or `[WORKAROUND]` steps. - Do not modify user-validated paths unless explicitly requested.
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