General
mnemos - Claude MCP Skill
Task-scoped memory lifecycle — typed MnemoGraph prevents lossy context compaction by treating facts/decisions/code-refs/handoffs as distinct node types with per-type eviction policies
SEO Guide: Enhance your AI agent with the mnemos tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to task-scoped memory lifecycle — typed mnemograph prevents lossy context compaction by treating facts/... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# Mnemos — Task-Scoped Memory Lifecycle ## What It Does Mnemos prevents lossy context compaction from destroying the structured knowledge you need most. It treats your working memory as a **typed graph** (MnemoGraph) where different types of knowledge have different eviction policies: - **GoalNodes** and **ConstraintNodes** are NEVER evicted — they survive all compaction - **ResultNodes** are compressed (summary kept) before eviction - **ContextNodes** are evictable when their activation weight drops - **CheckpointNodes** persist to disk for session resume ## Fatigue Model Mnemos monitors 4 dimensions of "agent fatigue" — all passively observed from hook data, no manual input needed: | Dimension | Weight | Signal Source | What It Measures | |-----------|--------|--------------|-----------------| | Token utilization | 0.40 | Statusline JSON | How full the context window is | | Scope scatter | 0.25 | PreToolUse file paths | How many directories the agent is bouncing between | | Re-read ratio | 0.20 | PreToolUse Read calls | How often the agent re-reads files it already read (context loss) | | Error density | 0.15 | PostToolUse outcomes | What fraction of tool calls are failing (agent struggling) | Fatigue states and actions: | State | Score | Action | |-------|-------|--------| | FLOW | 0.0–0.4 | Normal operation | | COMPRESS | 0.4–0.6 | Micro-consolidation runs (compress 3 ResultNodes, evict 1 cold ContextNode) | | PRE-SLEEP | 0.6–0.75 | Checkpoint written, consolidation runs | | REM | 0.75–0.9 | Emergency checkpoint, consider wrapping up | | EMERGENCY | 0.9+ | Checkpoint written, hand off immediately | ## How To Use ### Automatic (hooks handle everything): 1. **Statusline** writes `fatigue.json` on every API call 2. **PreToolUse** hook reads fatigue before every edit, auto-checkpoints at 0.60+ 3. **PreCompact** hook writes emergency checkpoint, compaction marker, and tells summarizer what to preserve 4. **Post-Compaction Injection** (PreToolUse, no matcher) detects the compaction marker on the first tool call after compaction and re-injects the full checkpoint into context 5. **SessionStart** hook loads last checkpoint on new session resume ### Post-Compaction Recovery (Two-Layer Defense): When Claude Code compacts the context (~83% full), Mnemos uses two layers: - **Layer 1**: PreCompact outputs strong preservation instructions with inline checkpoint content for the summarizer - **Layer 2**: After compaction, the first tool call triggers `mnemos-post-compact-inject.sh` which detects the `.mnemos/just-compacted` marker and re-injects the full checkpoint. This is the guaranteed path — it doesn't depend on the summarizer. The result: after compaction, you'll see a "CONTEXT RESTORED AFTER COMPACTION" block with your goal, constraints, what you were working on, and progress. Resume from there. ### Manual CLI: ```bash mnemos init # Initialize .mnemos/ mnemos status # Show node counts + fatigue mnemos fatigue # Detailed fatigue breakdown mnemos checkpoint --force # Write checkpoint now mnemos resume # Output checkpoint for context mnemos consolidate # Run micro-consolidation mnemos nodes --type goal # List active GoalNodes mnemos add goal "Build auth" # Add a GoalNode mnemos bridge-icpg # Import iCPG ReasonNodes ``` ## Agent Instructions When working on a task: 1. **Create a GoalNode** at the start: `mnemos add goal "what you're trying to achieve" --task-id session-1` 2. **Add ConstraintNodes** for invariants: `mnemos add constraint "API backward compatibility" --scope src/api/` 3. **Check fatigue** before long operations: `mnemos fatigue` 4. **Checkpoint at sub-goal boundaries**: `mnemos checkpoint` 5. **On session resume**: the SessionStart hook automatically loads your checkpoint ## iCPG Integration Mnemos bridges with iCPG (Intent-Augmented Code Property Graph): - `mnemos bridge-icpg` imports active ReasonNodes as GoalNodes - Postconditions/invariants become ConstraintNodes - Checkpoint includes iCPG state (active intent, unresolved drift) ## Storage Everything lives in `.mnemos/` (gitignored): - `mnemo.db` — SQLite MnemoGraph - `fatigue.json` — Live token metrics (updated per API call by statusline) - `signals.jsonl` — Behavioral signal log (appended by PreToolUse + PostToolUse hooks) - `checkpoint-latest.json` — Most recent checkpoint - `checkpoints/` — Archived checkpoints
Signals
Information
- Repository
- alinaqi/claude-bootstrap
- Author
- alinaqi
- Last Sync
- 5/9/2026
- Repo Updated
- 5/7/2026
- Created
- 4/3/2026
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