Tag: mem0
Mem0 integration verification and testing
This skill validates Mem0 integrations by performing static analysis, running native test suites across two feature-flag passes, and executing end-to-end smoke tests. It identifies compile-time and runtime regressions while ensuring the int…
Integrate Mem0 into existing repositories via TDD
This skill guides the integration of Mem0 into an existing codebase using a goal-driven, test-driven development pipeline. It automatically detects the language, writes failing tests, and ensures the integration is additive and opt-in via f…
Persistent Long-Term Memory Triage Protocol
An automated protocol for evaluating conversation turns to extract and persist durable, actionable facts using mem0. It employs a four-gate decision process to ensure information novelty, factuality, and security before committing to long-t…
Mem0 CLI for Memory Operations
A robust command-line interface for managing memories within the Mem0 platform. It allows developers to programmatically add, search, list, and update memories, supporting structured JSON output for seamless integration into agentic workflo…
Mem0 Provider for Vercel AI SDK
This provider integrates Mem0's memory capabilities into the Vercel AI SDK, enabling automatic retrieval and storage of user memories during LLM interactions. It supports both wrapped model patterns and standalone utilities for fine-grained…
Mem0 Integration Verification and Testing
Automates the verification of Mem0 integrations by performing static analysis, dependency installation, and two-pass test suite execution. It executes end-to-end smoke tests to identify compile and runtime bugs without introducing regressio…
Automated Mem0 Repository Integration Pipeline
An automated pipeline for integrating Mem0 into existing Python or TypeScript repositories using a test-driven development approach. It detects the project's language, creates a feature branch, and implements additive, non-breaking changes …
Mem0 Command Line Interface
A command-line interface for managing Mem0 memories, enabling developers to add, search, and manipulate long-term memory via terminal or CI/CD pipelines. It provides structured JSON output for seamless integration with AI agents.
Persistent Long-Term Memory Triage Protocol
Evaluates conversational turns to extract, organise, and persist durable, actionable facts into long-term memory using the mem0 framework. It employs a multi-gate decision process to ensure stored information is novel, factual, and secure.
Mem0 Managed Memory Layer for AI Agents
A managed memory layer for AI applications that provides persistent, long-term user context via Python and TypeScript SDKs. It enables developers to store, retrieve, and manage user memories through an API to personalise agentic interaction…
Mem0 MCP Memory Management Protocol
A protocol for agents to maintain persistent context across sessions using Mem0 MCP tools, featuring strategic memory retrieval and structured storage with metadata filtering.