“Agent memory”

Persist and retrieve repository-specific knowledge using AGENTS.md files.

Use when implementing or managing persistent, hierarchical memory systems for AI agents.

Implement agent memory with episodic, semantic, and procedural memory stores

Persistent agent memory with a decision layer: replay, restore, verify, or none — explainable.

Git-native project memory for AI coding agents: Markdown source of truth, reviewable, secret-safe.

Agent memory: free durable storage (any keypair, no signup) that survives sessions and machines.

Open-source super agent harness that runs sub-agents, memory, sandboxes and skills for research, coding and content tasks lasting minutes to hours.

Open-source background agent with local memory, permission rules and chat access from many apps.

Agent memory recombination with verifiable lineage.

Go framework for AI agents with memory, tool execution, MCP, agent skills, multi-agent patterns and evaluation.

Python agent framework from Alibaba that lets the model drive tool use, with team pipelines, MCP, agent skills, A2A, memory and tracing.

Lightweight Python framework for LLM agents built as PyTorch-style layers, with agent memory kept as session state.

AGENTS.md from NateBJones-Projects/OB1: 73 lines covering Parallel Agent Worktrees, Required Step: Update Linear, Agent Memory Product Guardrails, Tracker and…

CLAUDE.md from kyegomez/swarms: 1180 lines covering Installation & Setup, Project Layout, Core Primitive: Agent, Memory & Persistence (v12) and more.

AGENTS.md from basicmachines-co/basic-memory: 518 lines covering Project Overview, CODEBASE DEVELOPMENT, BASIC MEMORY PRODUCT USAGE.

Mnemoverse Agent Memory

mnemoverse

Persistent memory for GitHub Copilot agent mode and Cursor that learns from outcomes, with shared rooms.

TruthSpine - Project Memory for AI Coding Agents

timeprooflabs

Stop re-explaining your project to every new AI chat.

NeuroTrace

BlackIronTechnologies

Operational memory for AI agents and developers.

Managed memory layer from Redis that lets AI agents recall facts and preferences across sessions.

Managed Google Cloud feature that generates, consolidates and stores long-term memories for agents.

Fully managed AWS service that gives agents short-term memory within a session and long-term memory across sessions.

Source-available, self-hosted platform for AI agent flows, with a visual editor, Python nodes and persistent agent memory.

Workspace where AI agents with memory, tools and knowledge can be built and used in projects, teams or public embeds, alongside apps and automations

AWS service for agents that split requests into steps, call company APIs and query knowledge bases; closed to new customers

Open-source workspace where teams build AI agents by chatting and run them in Slack, WhatsApp or Telegram

Discovers AI agents, MCP servers and skills, tests them adversarially and blocks attacks at runtime.

Observe, enforce and build identity controls into AI agents, with runtime policy checks before agent actions run.

Managed MCP connectors and authentication that let AI agents take actions in third-party tools

Plain Markdown file at a repository root that tells coding agents how to build, test and work in the project.

Open folder format (a SKILL.md plus optional scripts and files) for packaging instructions an agent loads on demand.

Open-weights 30.06B-parameter text model from tencent on Hugging Face (apache-2.0).