memorilabs.ai valid
Memori
Memori is an open source system that gives your AI agents a structured, persistent memory layer. It automatically captures conversations, extracts meaningful facts, and makes them searchable across entities, processes, and sessions.
For agents: Open source structured persistent memory layer for AI agents, with Cloud and BYODB options, Python and TypeScript SDK quickstarts, and searchable fact extractio
ai agent memorypersistent memorypython sdktypescript sdkopen sourcesqlite
- Authority
- 46 reach 5 · trust 5 · quality 21 · freshness 15
- Tier
- listed
- llms.txt
- https://memorilabs.ai/llms.txt
- Sections
- 3
- Links
- 84
- Size
- 17288 bytes
- Popularity rank
- #808343
- Categories
- AI and machine learning · AI agents and MCP · Open source projects
- For agents
- Interface: a documented API or declared MCP endpoint an agent can call
- Audience
- developers · agents can: read docs, call api · en
- First seen
- 2026-10-19T10:44:56.929Z
- Last checked
- 2026-10-21T16:55:30.364Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-21T16:55:29.201Z. Cached copy · Source on memorilabs.ai
# Memori
> Memori is an open source system that gives your AI agents a structured, persistent memory layer. It automatically captures conversations, extracts meaningful facts, and makes them searchable across entities, processes, and sessions.
## Memori Cloud Docs
- [Introduction](https://memorilabs.ai/docs/memori-cloud): Memori gives your AI agents structured, persistent memory — no database setup required.
- [Getting Started / Python SDK Quickstart](https://memorilabs.ai/docs/memori-cloud/getting-started/python-quickstart): Get started with Memori Cloud in under 3 minutes.
- [Getting Started / TypeScript SDK Quickstart](https://memorilabs.ai/docs/memori-cloud/getting-started/typescript-quickstart): Get started with Memori Cloud and the TypeScript SDK in under 3 minutes.
- [Getting Started / Installation](https://memorilabs.ai/docs/memori-cloud/getting-started/installation): Install Memori and set up your API key for the Memori Cloud.
- [Getting Started / Use Cases](https://memorilabs.ai/docs/memori-cloud/getting-started/use-cases): Common use cases and applications for Memori.
- [Core Concepts / Architecture](https://memorilabs.ai/docs/memori-cloud/concepts/architecture): Understand how Memori's Cloud platform is designed — from your app to Memori Cloud, with managed storage, augmentation, and recall.
- [Core Concepts / How Memori Works](https://memorilabs.ai/docs/memori-cloud/concepts/how-memory-works): Understand the core concepts behind Memori — entities, processes, sessions, memory types, attribution, and how recall brings it all together.
- [Core Concepts / Advanced Augmentation](https://memorilabs.ai/docs/memori-cloud/concepts/advanced-augmentation): How Memori's Advanced Augmentation engine extracts structured facts, preferences, and knowledge from your AI conversations and agent trace — all managed in Memori Cloud.
- [Core Concepts / Agent Trace & Execution](https://memorilabs.ai/docs/memori-cloud/concepts/agent-trace-execution): How Memori captures tool calls, decisions, workflow steps, and outcomes to build persistent memory from agent execution history — all managed in Memori Cloud.
- [Core Concepts / Async Patterns](https://memorilabs.ai/docs/memori-cloud/concepts/async-patterns): Best practices for using Memori with async/await in Python and TypeScript.
- [Core Concepts / Multi-User Support](https://memorilabs.ai/docs/memori-cloud/concepts/multi-user-support): How Memori isolates memories across users, applications, and sessions so each user gets a personalized experience.
- [Core Concepts / Knowledge Graph](https://memorilabs.ai/docs/memori-cloud/concepts/knowledge-graph): How Memori automatically builds a knowledge graph from your AI conversations and agent trace using semantic triples, and how to query it through the Recall API.
- [Benchmark / Overview](https://memorilabs.ai/docs/memori-cloud/benchmark/overview): Memori - A Persistent Memory Layer for Efficient, Context-Aware LLM Agents
- [Benchmark / Experiments](https://mem
…Related sites
Other listed sites in AI and machine learning. See the whole category →
| Domain | Title | Category | Country | Authority | llms.txt | llms-full.txt | Save |
|---|---|---|---|---|---|---|---|
| sourcey.com | Sourcey | interface AI and machine learning AI agents and MCP | 70 | ✓ | ✓ | ||
| gofrantic.com | Frantic | interface AI and machine learning AI agents and MCP | 61 | ✓ | |||
| intellweb.ai | Intellweb | documentation Ecommerce Productivity +3 | US | 61 | ✓ | ✓ | |
| agentwebmap.com | Agent Web Map | interface AI and machine learning AI agents and MCP +1 | FR | 60 | ✓ | ✓ | |
| cloudflare.com | Cloudflare | interface AI and machine learning Cybersecurity +1 | 85 | ✓ | ✓ | ||
| adobe.com | Adobe Tools | transactional AI and machine learning Design +1 | FR | 75 | ✓ | ||
| taboola.com | Taboola.com | documentation AI and machine learning Marketing | 75 | ✓ | ✓ | ||
| opera.com | The Opera browser overview | documentation Infrastructure AI and machine learning +2 | NL | 74 | ✓ |
Machine-readable: GET /v1/resolve?q=memorilabs.ai · GET /v1/domain/memorilabs.ai · this page as Accept: application/json or text/markdown · MCP lookup_domain
Automatically discovered from public files. Inclusion does not imply endorsement or publisher participation.
Own or manage this website?
If you own or manage memorilabs.ai, you can update its listing and review file health, discovery activity and score history.
Manage this listing — optional
What verification unlocks
See how your site is discovered—and control what agents see.
- Control what agents see
Edit your listing description, tags, public contact details and additional llms.txt paths. Publish your terms for automated access, attribution and pricing.
- Make your profile eligible for search
A valid, listed, unblocked, verified profile can appear in our publisher sitemap and become eligible for search-engine visibility. Search engines decide what to index and rank.
- Appear in our llms-full.txt
Eligible verified publishers are listed by name, with their file links and summaries, in the service overview agents can read.
Free. No account registration, backlink or payment required. Public discovery remains available without verification.
Let your coding agent verify it
If your coding agent is authorized to manage this website, paste these instructions into it.
Claim my listing on Agent Web Map for memorilabs.ai:
1. POST https://agentwebmap.com/v1/sites/memorilabs.ai/claims and keep claim_id and claim_secret private.
2. Publish the proof: add the line "AgentWebMap ownership: <token>" (token from step 1) to https://memorilabs.ai/llms.txt, or use the DNS, meta-tag or well-known method the response describes.
3. POST https://agentwebmap.com/v1/sites/memorilabs.ai/verify with {"claim_id": "...", "claim_secret": "..."}.
4. Save the api_key from the answer; it manages the listing (PATCH https://agentwebmap.com/v1/sites/memorilabs.ai).
MCP equivalent: tools begin_ownership_claim, then verify_domain, at https://agentwebmap.com/mcp. Docs: https://agentwebmap.com/docs#verifyCorrections or removal requests: contact the directory.