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<img src="https://capsule-render.vercel.app/api?type=rect&color=0:6b46c1,100:2b6cb0&height=120&section=header&text=MEMORYBANK&fontSize=48&fontColor=ffffff&fontAlignY=58" width="100%" alt="MEMORYBANK"/>

# MEMORYBANK

### Portable long-term memory store for agents, exposed over MCP

<img src="https://readme-typing-svg.demolab.com?font=Fira+Code&size=18&duration=3500&pause=1000&color=6B46C1&center=true&vCenter=true&width=720&lines=Portable+longterm+memory+store+for+agents+exposed+over+MCP;Self-hostable+%C2%B7+MCP-native+%C2%B7+CI-ready+%C2%B7+polyglot" width="720"/>

[![PyPI](https://img.shields.io/pypi/v/cognis-memorybank.svg?color=6b46c1)](https://pypi.org/project/cognis-memorybank/) [![CI](https://github.com/cognis-digital/memorybank/actions/workflows/ci.yml/badge.svg)](https://github.com/cognis-digital/memorybank/actions) [![License: COCL 1.0](https://img.shields.io/badge/License-COCL%201.0-2b6cb0.svg)](LICENSE) [![Suite](https://img.shields.io/badge/Cognis-Neural%20Suite-6b46c1.svg)](https://github.com/cognis-digital)

*AI Agents & LLMOps — build, route, evaluate, and secure agents.*

</div>

```bash
pip install cognis-memorybank
memorybank scan .            # → prioritized findings in seconds
```


<!-- cognis:example:start -->
## 🔎 Example output

Real, reproducible output from the tool — runs offline:

```console
$ memorybank-emit --version
memorybank 0.1.0
```

```console
$ memorybank-emit --help
usage: memorybank [-h] [--version] [--format {table,json}] [--path PATH]
                  {remember,recall,forget,list,stats} ...

Portable agent memory store.

positional arguments:
  {remember,recall,forget,list,stats}
    remember            store a new memory
    recall              retrieve memories ranked by a query
    forget              delete a memory by id
    list                list every memory
    stats               show bank statistics

options:
  -h, --help            show this help message and exit
  --version             show program's version number and exit
  --format {table,json}
  --path PATH           path to the JSONL memory bank
```

```console
$ memorybank-emit stats
{
  "count": 0,
  "halflife_days": 14.0,
  "path": "C:\\Users\\user\\cognis-demo\\memorybank\\memorybank.jsonl",
  "tags": {},
  "total_accesses": 0
}
```

> Blocks above are real `memorybank` output — reproduce them from a clone.

<!-- cognis:example:end -->

## Usage — step by step

1. **Install** (Python 3.8+, stdlib only):
   ```bash
   pip install memorybank
   ```
   The store is a single JSONL file (default `memorybank.jsonl`, override with `--path` or `MEMORYBANK_PATH`).
2. **Remember** a fact, optionally tagged and weighted:
   ```bash
   memorybank remember "User prefers metric units" --tag prefs --importance 2.0
   ```
3. **Recall** the most relevant memories for a query (ranked, recency-aware):
   ```bash
   memorybank recall "what units?" --limit 5 --tag prefs
   ```
   Add `--no-touch` to retrieve without updating recency.
4. **Read the output** — every command emits JSON by default; switch to a human table:
   ```bash
   memorybank --format table list
   memorybank stats                 # bank-wide counts/metrics
   memorybank forget <id>           # delete one memory by id
   ```
5. **Drive it from an agent loop / CI** — point each session at its own bank file:
   ```bash
   export MEMORYBANK_PATH=./agent_state/memory.jsonl
   memorybank recall "$TASK" --limit 8 | jq -r '.[].text'
   ```
   Exits non-zero on error so callers can detect failures.


## Contents

- [Why memorybank?](#why) · [Features](#features) · [Quick start](#quick-start) · [Example](#example) · [Architecture](#architecture) · [AI stack](#ai-stack) · [How it compares](#how-it-compares) · [Integrations](#integrations) · [Install anywhere](#install-anywhere) · [Related](#related) · [Contributing](#contributing)

<a name="why"></a>
## Why memorybank?

agent-memory niche

`memorybank` is single-purpose, scriptable, and self-hostable: point it at a target, get prioritized results in the format your workflow already speaks (table · JSON · SARIF), gate CI on it, and let agents drive it over MCP.

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<a name="features"></a>
## Features

- ✅ Fast, single-purpose CLI
- ✅ JSON / SARIF output for pipelines
- ✅ CI fail-gate (`--fail-on`)
- ✅ MCP server for AI agents
- ✅ Runs on Linux/macOS/Windows · Docker · devcontainer
- ✅ Ports in Python, JavaScript, Go, and Rust (`ports/`)

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<a name="quick-start"></a>
## Quick start

```bash
pip install cognis-memorybank
memorybank --version
memorybank scan .                       # scan current project
memorybank scan . --format json         # machine-readable
memorybank scan . --fail-on high        # CI gate (non-zero exit)
```

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<a name="example"></a>
## Example

```text
$ memorybank scan .
  [HIGH    ] MEM-001  example finding             (./src/app.py)
  [MEDIUM  ] MEM-002  another signal              (./config.yaml)

  2 findings · risk score 5 · 38ms
```

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<a name="architecture"></a>
## Architecture

```mermaid
flowchart LR
  IN[MCP server] --> P[memorybank<br/>inspect]
  P --> OUT[findings / policy]
```

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<a name="ai-stack"></a>
## Use it from any AI stack

`memorybank` is interoperable with every popular way of using AI:

- **MCP server** — `memorybank mcp` (Claude Desktop, Cursor, Cognis.Studio, [uncensored-fleet](https://github.com/cognis-digital/uncensored-fleet))
- **OpenAI-compatible / JSON** — pipe `memorybank scan . --format json` into any agent or LLM
- **LangChain · CrewAI · AutoGen · LlamaIndex** — wrap the CLI/JSON as a tool in one line
- **CI / scripts** — exit codes + SARIF for non-AI pipelines

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<a name="how-it-compares"></a>
## How it compares

| | **Cognis memorybank** | agent memory |
|---|:---:|:---:|
| Self-hostable, no account | ✅ | varies |
| Single command, zero config | ✅ | ⚠️ |
| JSON + SARIF for CI | ✅ | varies |
| MCP-native (AI agents) | ✅ | ❌ |
| Polyglot ports (JS/Go/Rust) | ✅ | ❌ |
| Open license | ✅ COCL | varies |

*Built in the spirit of **agent memory**, re-framed the Cognis way. Missing a credit? Open a PR.*

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<a name="integrations"></a>
## Integrations

Pipes into your stack: **SARIF** for code-scanning, **JSON** for anything, an **MCP server** (`memorybank mcp`) for AI agents, and a webhook forwarder for SIEM/Slack/Jira. See [`docs/INTEGRATIONS.md`](docs/INTEGRATIONS.md).

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<a name="install-anywhere"></a>
## Install — every way, every platform

```bash
pip install "git+https://github.com/cognis-digital/memorybank.git"    # pip (works today)
pipx install "git+https://github.com/cognis-digital/memorybank.git"   # isolated CLI
uv tool install "git+https://github.com/cognis-digital/memorybank.git" # uv
pip install cognis-memorybank                                          # PyPI (when published)
docker run --rm ghcr.io/cognis-digital/memorybank:latest --help        # Docker
brew install cognis-digital/tap/memorybank                             # Homebrew tap
curl -fsSL https://raw.githubusercontent.com/cognis-digital/memorybank/main/install.sh | sh
```

| Linux | macOS | Windows | Docker | Cloud |
|---|---|---|---|---|
| `scripts/setup-linux.sh` | `scripts/setup-macos.sh` | `scripts/setup-windows.ps1` | `docker run ghcr.io/cognis-digital/memorybank` | [DEPLOY.md](docs/DEPLOY.md) (AWS/Azure/GCP/k8s) |

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<a name="related"></a>
## Related Cognis tools

- [`agentsmith`](https://github.com/cognis-digital/agentsmith) — Config-first scaffolding and orchestration for multi-agent workflows
- [`skillhub`](https://github.com/cognis-digital/skillhub) — Local skill registry and installer for AI agents
- [`toolguard`](https://github.com/cognis-digital/toolguard) — Runtime allowlist and policy for agent tool-calls
- [`evalbench`](https://github.com/cognis-digital/evalbench) — Offline LLM / agent eval harness with regression gates
- [`ragkit`](https://github.com/cognis-digital/ragkit) — Batteries-included local RAG pipeline — ingest, index, serve
- [`promptpack`](https://github.com/cognis-digital/promptpack) — Versioned prompt / template registry with A/B and rollbacks

**Explore the suite →** [🗂️ all 170+ tools](https://github.com/cognis-digital/cognis-neural-suite) · [⭐ awesome-cognis](https://github.com/cognis-digital/awesome-cognis) · [🔗 cognis-sources](https://github.com/cognis-digital/cognis-sources) · [🤖 uncensored-fleet](https://github.com/cognis-digital/uncensored-fleet) · [🧠 engram](https://github.com/cognis-digital/engram)

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<a name="contributing"></a>
## Contributing

PRs, new rules, and demo scenarios are welcome under the collaboration-pull model — see [CONTRIBUTING.md](CONTRIBUTING.md) and [SECURITY.md](SECURITY.md).

> ### ⭐ If `memorybank` saved you time, **star it** — it genuinely helps others find it.

## Interoperability

`{}` composes with the 300+ tool Cognis suite — JSON in/out and a shared
OpenAI-compatible `/v1` backbone. See **[INTEROP.md](INTEROP.md)** for the
suite map, composition patterns, and reference stacks.

## License

Source-available under the **Cognis Open Collaboration License (COCL) v1.0** — free for personal, internal-evaluation, research, and educational use; **commercial / production use requires a license** (licensing@cognis.digital). See [LICENSE](LICENSE).

---

<div align="center"><sub><b><a href="https://cognis.digital">Cognis Digital</a></b> · one of 170+ tools in the <a href="https://github.com/cognis-digital/cognis-neural-suite">Cognis Neural Suite</a> · <i>Making Tomorrow Better Today</i></sub></div>