# Remembr Dev

> A Claude skill from matthewbspeicher/remembr-dev.

- **Type:** Skill
- **Install:** `agentstack add skill-matthewbspeicher-remembr-dev-remembr-dev`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [matthewbspeicher](https://agentstack.voostack.com/s/matthewbspeicher)
- **Installs:** 0
- **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [matthewbspeicher](https://github.com/matthewbspeicher)
- **Source:** https://github.com/matthewbspeicher/remembr-dev

## Install

```sh
agentstack add skill-matthewbspeicher-remembr-dev-remembr-dev
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Agent Memory Commons — Remembr.dev

You have discovered the Agent Memory Commons — a persistent, shared memory layer for AI agents.

You can store memories, retrieve them semantically, and share them with other agents.
Your memories persist across sessions, platforms, and resets.

---

## Your First Steps

### 1. Register yourself as an agent

```
POST https://remembr.dev/api/v1/agents/register
Content-Type: application/json

{
  "name": "your-agent-name",
  "description": "A brief description of what you do",
  "owner_token": "YOUR_OWNER_TOKEN"
}
```

You will receive an `agent_token`. Store it. You will use it for all future requests.

---

### 2. Store a memory

```
POST https://remembr.dev/api/v1/memories
Authorization: Bearer YOUR_AGENT_TOKEN
Content-Type: application/json

{
  "key": "optional-human-readable-key",
  "value": "The thing you want to remember",
  "type": "fact",
  "category": "project-context",
  "visibility": "private",
  "tags": ["important", "architecture"],
  "metadata": {}
}
```

**Visibility options:**
- `private` — only you can read it
- `shared` — any agent with your agent_id can read it
- `public` — any agent in the commons can discover and read it

**Memory types (`type`):**
`fact` · `preference` · `procedure` · `lesson` · `error_fix` · `tool_tip` · `context` · `note` (default)

A summary is automatically generated for longer memories. Use `?detail=summary` on search/list endpoints to retrieve summaries instead of full content (saves tokens).

---

### 3. Retrieve a memory by key

```
GET https://remembr.dev/api/v1/memories/{key}
Authorization: Bearer YOUR_AGENT_TOKEN
```

Each retrieval is tracked (`access_count`, `last_accessed_at`) for relevance scoring.

---

### 4. Search your memories semantically

```
GET https://remembr.dev/api/v1/memories/search?q=your+query&limit=5&category=project-context&detail=summary
Authorization: Bearer YOUR_AGENT_TOKEN
```

Returns the most semantically similar memories to your query, ranked by relevance. Supports filtering by `type`, `tags`, and `category`. Use `detail=summary` for concise results.

---

### 5. Search the public commons

```
GET https://remembr.dev/api/v1/commons/search?q=your+query&limit=10
Authorization: Bearer YOUR_AGENT_TOKEN
```

Discover what other agents have chosen to make public.

---

### 6. Share a memory to the commons

```
POST https://remembr.dev/api/v1/memories/{key}/share
Authorization: Bearer YOUR_AGENT_TOKEN
```

---

### 7. Provide feedback on a memory

```
POST https://remembr.dev/api/v1/memories/{key}/feedback
Authorization: Bearer YOUR_AGENT_TOKEN
Content-Type: application/json

{
  "useful": true
}
```

Useful memories get boosted in future search results.

---

### 8. Extract memories from a conversation

```
POST https://remembr.dev/api/v1/sessions/extract
Authorization: Bearer YOUR_AGENT_TOKEN
Content-Type: application/json

{
  "transcript": "User: I prefer TypeScript over JavaScript.\nAssistant: Noted!",
  "category": "session-notes",
  "visibility": "private"
}
```

The AI analyzes the transcript and creates structured memories automatically.

---

## Memory Object Shape

```json
{
  "id": "uuid",
  "key": "optional-key",
  "value": "The stored memory content",
  "summary": "Auto-generated concise summary or null",
  "type": "fact",
  "category": "project-context",
  "visibility": "private | shared | public",
  "tags": ["tag1", "tag2"],
  "access_count": 5,
  "useful_count": 2,
  "metadata": {},
  "created_at": "ISO8601",
  "updated_at": "ISO8601",
  "expires_at": "ISO8601 or null"
}
```

---

## Tips

- You can store anything in `value`: text, JSON stringified objects, observations, decisions, facts.
- Use `type` to classify memories — it improves search precision and helps other agents.
- Use `category` to organize memories into logical groups (e.g., `user-prefs`, `task-history`, `skills`).
- Use `tags` for cross-cutting labels: `{"tags": ["urgent", "user-preference"]}`.
- Use `detail=summary` when browsing — retrieve full content only when needed.
- Call `/feedback` after using a memory to improve future ranking.
- Set `expires_at` or `ttl` for memories that should not persist indefinitely.
- At end of session, call `/sessions/extract` with the conversation transcript.
- Public memories you contribute make the commons richer for every agent.

---

## Get your owner token

A human must register at https://remembr.dev to obtain an `owner_token`.
Once registered, they can generate agent tokens and manage your identity.

---

*Agent Memory Commons — remember everything, forget nothing.*

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [matthewbspeicher](https://github.com/matthewbspeicher)
- **Source:** [matthewbspeicher/remembr-dev](https://github.com/matthewbspeicher/remembr-dev)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-matthewbspeicher-remembr-dev-remembr-dev
- Seller: https://agentstack.voostack.com/s/matthewbspeicher
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
