---
name: nima-core-8be6f1b1b170
description: Biologically-inspired cognitive memory for AI agents. Panksepp affects, Free Energy consolidation, VSA binding, sparse retrieval, temporal prediction, metacognition.
version: 1.0.0
---

# NIMA Core

Plug-and-play cognitive memory architecture for AI agents.

## Install

```bash
pip install torch numpy sentence-transformers
# Copy nima_core/ to your project
```

## Quick Start

```python
from nima_core import NimaCore

nima = NimaCore(
    name="MyBot",
    important_people={"Alice": 1.5, "Bob": 1.3},  # These people's memories get priority
)
nima.experience("Alice asked about the project", who="Alice", importance=0.7)
results = nima.recall("project")
```

## Smart Consolidation

Configure which people, emotions, and topics matter most:

```python
from nima_core.services.heartbeat import NimaHeartbeat, SmartConsolidation

smart = SmartConsolidation(
    important_people={"Alice": 1.5, "Bob": 1.3},  # Weight multipliers
    emotion_words={"love", "excited", "proud", "worried"},  # Force-consolidate
    importance_markers={"family", "milestone", "decision"},  # Force-consolidate
    noise_patterns=["system exec", "heartbeat_ok"],  # Skip these
)

heartbeat = NimaHeartbeat(nima, message_source=my_source, smart_consolidation=smart)
heartbeat.start_background()
```

Memories from important people get boosted. Emotional content is always kept. Noise is filtered out.

## Enable Components

```bash
export NIMA_V2_ALL=true  # Enable full cognitive stack
```

## API

- `nima.experience(content, who, importance)` — Process through affect → binding → FE pipeline
- `nima.recall(query, top_k)` — Semantic memory search
- `nima.capture(who, what, importance)` — Explicit memory capture (bypasses FE gate)
- `nima.dream(hours)` — Run consolidation (schema extraction)
- `nima.status()` — System status
- `nima.introspect()` — Metacognitive self-reflection

## Architecture

```
METACOGNITIVE  — Self-model, 4-chunk WM, strange loops
SEMANTIC       — Hyperbolic embeddings, concept hierarchies
EPISODIC       — VSA + Holographic storage, sparse retrieval
CONSOLIDATION  — Free Energy decisions, schema extraction
BINDING        — VSA circular convolution, role-filler composition
AFFECTIVE CORE — Panksepp's 7 affects (SEEKING, RAGE, FEAR, LUST, CARE, PANIC, PLAY)
```

## Configuration

| Variable | Default | Description |
|----------|---------|-------------|
| `NIMA_DATA_DIR` | `./nima_data` | Memory storage path |
| `NIMA_MODELS_DIR` | `./models` | Model files path |
| `NIMA_V2_ALL` | `false` | Enable all components |
| `NIMA_SPARSE_RETRIEVAL` | `true` | Two-stage sparse index |
| `NIMA_PROJECTION` | `true` | 384D → 50KD projection |

## References

- `README.md` — Full documentation with all settings
- `nima_core/config/nima_config.py` — All feature flags
- `.env.example` — Environment variable template


---
Source attribution: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/dmdorta1111/nima-core/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) 2026 clawdbot

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: kbarbel640-del
Original project: https://github.com/kbarbel640-del/skills/blob/e7e336ac628c3e3bd771aff1aaa469c93778f94a/skills/dmdorta1111/nima-core/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Education & Research
Roles: Data Scientist, ML / AI Engineer, Researcher
Specialties: API
Tools: Numpy, Pytorch, Sentence Transformers
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: e3a4050c4dc302fcd4c3ff985ad7143e10f186cd22a66d1f80411bcc195531e1