ralph-memory
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
Best use case
ralph-memory is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
It is a strong fit for teams already working in Codex.
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
Teams using ralph-memory 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/ralph-memory/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ralph-memory Compares
| Feature / Agent | ralph-memory | Standard Approach |
|---|---|---|
| Platform Support | Codex | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Manage Al semantic memory entries — list, query, and clear lessons learned across loop iterations
Which AI agents support this skill?
This skill is designed for Codex.
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.
Related Guides
Cursor vs Codex for AI Workflows
Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.
AI Agents for Coding
Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.
AI Agents for Marketing
Discover AI agents for marketing workflows, from SEO and content production to campaign research, outreach, and analytics.
SKILL.md Source
# Al Memory
Inspect and manage the semantic memory that Al accumulates across loop iterations. Memory entries record lessons learned, failure patterns, and success patterns so that later iterations — and future loops on similar tasks — benefit from what earlier attempts discovered.
## Natural Language Triggers
Users may say:
- "ralph memory"
- "ralph memories"
- "list ralph memory"
- "query ralph memory"
- "what has ralph learned"
- "show ralph lessons"
- "clear ralph memory"
## Parameters
### Subcommand (required)
One of `list`, `query`, or `clear`.
### --loop-id (optional)
Scope the operation to a specific loop's memory. If omitted, operates on the global memory store (`.aiwg/ralph/memory.json`).
```
/ralph-memory list --loop-id abc123
```
### --query (optional, used with `query` subcommand)
Text to search for in memory entries. Matches against `lesson`, `pattern`, `context`, and `tags` fields.
```
/ralph-memory query --query "auth mocks"
```
### --since (optional)
Filter entries created on or after this date. Accepts ISO 8601 date (`2026-04-01`) or relative expressions (`7d`, `2w`).
```
/ralph-memory list --since 7d
```
## Memory Entry Schema
Each entry in `.aiwg/ralph/memory.json` follows this structure:
```json
{
"id": "mem_a1b2c3",
"loopId": "abc123",
"iteration": 2,
"createdAt": "2026-04-01T10:42:00Z",
"type": "failure_pattern",
"lesson": "Auth mocks must be initialized inside beforeEach, not at module scope",
"context": "src/auth/auth.test.ts iteration 2 failure",
"tags": ["auth", "mocks", "jest"],
"confidence": 0.9
}
```
**Entry types**:
- `lesson_learned` — General insight extracted from an iteration
- `failure_pattern` — Recurring error pattern to avoid
- `success_pattern` — Approach that worked and should be repeated
## Behavior
### `list` Subcommand
1. Read the memory store (scoped to `--loop-id` if provided, otherwise global)
2. Apply `--since` filter if provided
3. Display a formatted table of all entries, sorted by `createdAt` descending
**Output**:
```
Al Memory — 8 entries
| ID | Type | Loop | Iter | Lesson | Date |
|----------|-----------------|--------|------|-----------------------------------------------------|------------|
| mem_a1b2 | failure_pattern | abc123 | 2 | Auth mocks must be in beforeEach, not module scope | 2026-04-01 |
| mem_c3d4 | lesson_learned | abc123 | 3 | Use jest.resetAllMocks() in afterEach | 2026-04-01 |
| mem_e5f6 | success_pattern | def456 | 5 | ESM imports require .js extension in TypeScript | 2026-03-28 |
| mem_g7h8 | failure_pattern | def456 | 2 | ts-node does not support isolatedModules by default | 2026-03-28 |
...
Use /ralph-memory query --query "<text>" to search.
```
**If no entries exist**:
```
No memory entries found.
Al accumulates memory as it runs loops. Start a loop:
/ralph "your task" --completion "criteria"
```
### `query` Subcommand
1. Read all memory entries (filtered by `--loop-id` and `--since` if provided)
2. Score each entry against the `--query` text using substring and tag matching
3. Return the top matches, ranked by relevance score descending
**Output**:
```
Al Memory — query: "auth mocks"
3 matching entries (ranked by relevance):
1. [mem_a1b2] failure_pattern — confidence 0.90
Lesson: Auth mocks must be initialized inside beforeEach, not at module scope
Context: src/auth/auth.test.ts iteration 2
Tags: auth, mocks, jest
Loop: abc123, Iter: 2, Date: 2026-04-01
2. [mem_c3d4] lesson_learned — confidence 0.80
Lesson: Use jest.resetAllMocks() in afterEach to prevent mock state leakage
Context: src/auth/auth.test.ts iteration 3
Tags: auth, jest, cleanup
Loop: abc123, Iter: 3, Date: 2026-04-01
3. [mem_x9y0] failure_pattern — confidence 0.60
Lesson: Passport mock must stub req.user before middleware chain
Context: src/auth/middleware.test.ts
Tags: auth, passport, mocks
Loop: ghi789, Iter: 1, Date: 2026-03-25
```
**No matches**:
```
No memory entries match "auth mocks".
Try broader terms or list all entries:
/ralph-memory list
```
### `clear` Subcommand
1. If `--loop-id` is provided, delete only entries belonging to that loop
2. Otherwise, prepare to clear the entire memory store
3. Show a confirmation prompt before deleting
**Confirmation prompt**:
```
This will permanently delete 8 memory entries.
Entries by loop:
abc123 — 3 entries (Fix auth tests, 2026-04-01)
def456 — 4 entries (ESM migration, 2026-03-28)
ghi789 — 1 entry (Middleware fix, 2026-03-25)
Type 'yes' to confirm:
```
**After clearing**:
```
Al memory cleared. 8 entries deleted.
Memory file reset: .aiwg/ralph/memory.json
```
**Loop-scoped clear**:
```
Cleared 3 memory entries for loop abc123.
Remaining entries: 5 (in other loops)
```
## Memory File Locations
| Scope | Path |
|-------|------|
| Global (all loops) | `.aiwg/ralph/memory.json` |
| External loop global | `.aiwg/ralph-external/memory.json` |
| Per-loop (external) | `.aiwg/ralph-external/loops/<id>.json` (embedded `learnings` field) |
## Error Handling
**Memory file missing**:
```
No Al memory found at .aiwg/ralph/memory.json.
Al has not accumulated any memory yet. Run a loop first:
/ralph "your task" --completion "criteria"
```
**Corrupted memory file**:
```
Memory file is not valid JSON: .aiwg/ralph/memory.json
Options:
1. Delete and start fresh: rm .aiwg/ralph/memory.json
2. Inspect manually to repair
```
**Missing --query for query subcommand**:
```
Error: --query is required for the 'query' subcommand.
Usage:
/ralph-memory query --query "auth mocks"
/ralph-memory query --query "typescript" --since 7d
```
## Examples
### Example 1: List all memory entries
```
/ralph-memory list
```
**Response**: Table of all accumulated Al memory entries, newest first.
### Example 2: List entries from the last week
```
/ralph-memory list --since 7d
```
**Response**: Only entries created in the last 7 days.
### Example 3: Query for relevant memories before starting a task
```
/ralph-memory query --query "typescript esm"
```
**Response**: Top matching entries about TypeScript ESM, ranked by relevance.
### Example 4: List memories from a specific loop
```
/ralph-memory list --loop-id abc123
```
**Response**: Only entries generated during loop `abc123`.
### Example 5: Clear memories from a completed loop
```
/ralph-memory clear --loop-id abc123
```
**Response**: Prompts confirmation, then deletes the 3 entries for loop abc123.
### Example 6: Full reset
```
/ralph-memory clear
```
**Response**: Prompts confirmation listing all entries by loop, then deletes everything.
## Related
- `/ralph` — Loop that generates memory entries
- `/ralph-external` — External loop with its own memory layer
- `/ralph-status` — Check loop status and iteration history
- `/ralph-reflect` — Deeper reflection and memory promotion
## References
- @$AIWG_ROOT/src/cli/handlers/ralph.ts — Al CLI handler
- @$AIWG_ROOT/tools/ralph-external/memory-manager.mjs — Memory storage and retrieval
- @$AIWG_ROOT/tools/ralph-external/lib/semantic-memory.mjs — Semantic memory layer
- @$AIWG_ROOT/tools/ralph-external/lib/memory-retrieval.mjs — Memory query logic
- @$AIWG_ROOT/tools/ralph-external/lib/memory-promotion.mjs — Cross-task memory promotion
- @$AIWG_ROOT/agentic/code/addons/ralph/README.md — Al documentationRelated Skills
ralph-status
Check status of current or previous agent loop
ralph-resume
Resume an interrupted agent loop from last checkpoint
ralph-reflect
View and manage agent loop reflections and episodic memory
ralph-external
Crash-resilient external loop with state persistence and CI/CD integration
ralph-config
View and configure agent loop settings — show, set, reset, and apply named presets
ralph-attach
Attach to a running agent loop's live output stream
ralph-analytics
Show analytics and metrics from agent loop execution history
ralph-abort
Abort a running agent loop and optionally revert changes
memory-query-capture
Capture query synthesis as durable pages in semantic memory
memory-log-render
Generate a human-readable Markdown view from a consumer's JSON Lines event log
memory-log-append
Append a structured event to a consumer's semantic memory log
memory-ingest
Ingest a source into any consumer's semantic memory by reading the topology contract