---
name: deep-recall-b137df5b72d1
description: Recursive memory recall for persistent AI agents using RLM (Recursive Language Models). Implements the Anamnesis Architecture — "The soul stays small, the mind scales forever."
metadata: {"openclaw": {"requires": {"bins": ["deno"], "env": ["FAST_RLM_DIR"]}, "homepage": "https://github.com/Stefan27-4/DeepRecall"}}
---

# DeepRecall — OpenClaw Skill

## Description
Recursive memory recall for persistent AI agents using RLM (Recursive Language Models).
Uses your existing OpenClaw LLM provider to recursively query memory files — no extra API keys needed.

## When to Use
- Agent needs to recall information from a large/growing memory store
- Memory files exceed the context window (~128K tokens)
- Agent needs to cross-reference across many daily log files
- Deep reasoning about historical decisions, patterns, or events
- Finding specific information across weeks/months of conversation history

## Requirements

### System Dependencies
- **[Deno](https://deno.com) 2+** — runtime for fast-rlm
- **[fast-rlm](https://github.com/avbiswas/fast-rlm)** — the RLM engine. Clone it locally and set `FAST_RLM_DIR=/path/to/fast-rlm`
- **PyYAML** (`pip install pyyaml`)

### OpenClaw Configuration (Required)
- A configured LLM provider in OpenClaw (Anthropic, OpenAI, Google, OpenRouter, Ollama, etc.)
- The skill **reads your OpenClaw config and credential files** (`~/.openclaw/`) to auto-detect your provider and API key
- No separate API key configuration needed — it reuses your existing OpenClaw setup

### Environment Variables
- `FAST_RLM_DIR` (required) — path to your cloned fast-rlm directory
- `OPENCLAW_WORKSPACE` (optional) — override workspace path (defaults to `~/.openclaw/workspace`)

## What This Skill Accesses

**DeepRecall reads local files and sends assembled context to your LLM provider:**

| What | Why | Where It Goes |
|------|-----|---------------|
| `~/.openclaw/openclaw.json` | Find your LLM provider + model config | Stays local |
| `~/.openclaw/credentials/` | Read API keys (e.g. GitHub Copilot token) | Passed to fast-rlm process as env var |
| Workspace files (scope-dependent) | Build memory context for the query | Sent to your configured LLM provider via fast-rlm |

### Privacy Recommendations
- Use **`identity` or `memory` scope** unless you need broader search
- For maximum privacy, configure a **local model provider** (Ollama) so data never leaves your machine
- **Audit [fast-rlm](https://github.com/avbiswas/fast-rlm)** before running — it executes locally and receives your API key

## Files
- `deep_recall.py` — Main entry point (recall, recall_quick, recall_deep)
- `provider_bridge.py` — Reads OpenClaw config to resolve API keys + models
- `model_pairs.py` — Auto-selects cheap sub-agent model
- `memory_scanner.py` — Discovers and indexes agent memory files
- `memory_indexer.py` — Generates MEMORY_INDEX.md for efficient navigation
- `rlm_config_builder.py` — Generates fast-rlm config

## Quick Start
```python
from deep_recall import recall
result = recall("What did we discuss last week about the project?")
```

## Configuration
No additional API keys needed — DeepRecall reads your existing OpenClaw setup.
Override RLM settings via `config_overrides` parameter.


---
Source attribution: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/deeprecall/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2025 skill-library-mcp contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: modbender
Original project: https://github.com/modbender/skill-library-mcp/blob/d9c8fe903b5b4e82237dbe8d0df8567783022e18/data/deeprecall/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering
Roles: Backend Developer, Data Scientist, ML / AI Engineer
Specialties: API, Backend
Tools: Ollama, OpenAI API, Deno
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: b2eafb2c2a51b605817d3f3eade78c30bef3f3004cf35acd059f60550ad89e87