How do I give an AI agent memory across sessions?
Write durable facts to files the agent reads on startup, and use retrieval for the long tail. What matters is what you choose to store: decisions and constraints, not transcripts and not anything the code already records.
Surveyed 10 August 2026
Give an agent memory
Open in Tools →- 01Claude-Mem
A Claude Code plugin that automatically preserves context across coding sessions by capturing tool usage, compressing it with AI, and injecting relevant context back into future sessions. Enables Claude to maintain continuity of knowledge about projects even after sessions end.
AI Agents - 02Tolaria
Tolaria is a cross-platform desktop app (macOS, Windows, Linux) for managing markdown knowledge bases — used for second brains, personal notes, company docs, and as context or memory for AI assistants.
Productivity - 03AgentMemory
Persistent memory system for AI coding agents that remembers context across sessions. Eliminates the need to re-explain architectures, bugs, and preferences by automatically capturing and compressing agent interactions into searchable memory.
AI Agents - 04TencentDB Agent Memory
A self-hostable memory hub that turns AI agent conversations, documents, and codebases into four reusable, governed memory types—Chat Memory, Skills, Wiki, and CodeGraph—so teams of agents can share context and expertise instead of relearning it each session. It includes a control panel for managing ownership, versioning, and access (private/team/ACL) across multiple agent frameworks.
AI Agents - 05ReMe
AgentScope's memory-management kit for AI agents — episodic, semantic, and procedural memory stores with retrieval and consolidation.
AI Agents - 06arscontexta
A memory infrastructure plugin for Claude Code that provides persistent agentic memory capabilities. It enables knowledge management and context retention across Claude Code sessions through an installable plugin.
AI Tools
Ordered by the VibeLeaderboard index, re-surveyed each edition. Something missing?
What to look for
- 01Can you read and edit the memory directly? Opaque memory that is wrong cannot be corrected.
- 02Does it store why, not just what? Decisions without reasons get reversed by the next session.
- 03Does it re-check stale facts against the code, or repeat them confidently forever?
Common questions
- What should an agent actually remember?
- Decisions and their reasons, constraints, and your preferences. Not code structure or past fixes — the repository and its history already hold those, and a stale copy is worse than none.
- Is agent memory the same as RAG?
- Related but distinct. RAG retrieves from a corpus at query time; memory is a small curated set of facts written deliberately and loaded every session. Most useful setups use both.
More in Work with agents
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- Control a browserLet an agent navigate, inspect, test, and complete workflows on the web.
- Research with an agentFind sources, verify claims, synthesize evidence, and preserve citations.
- Connect tools with MCPExpose data and actions to agents through Model Context Protocol servers.