Tagged agent-memory

Give an agent long-term memory and retrieval with Pinecone

Install gbrain and set up a local PGLite or Supabase memory store for coding

Manage OmniRoute agent skills, plugins and persistent memory from the CLI

Manage portable RVF memory files for moving agent memory across platforms

Add persistent long-term memory to chatbots and AI apps with the Mem0 SDK

Decide which durable facts, preferences and decisions to store in long-term memory

Design user memory for agents, from plain notes to structured memory cards

Search long-term memory from past coding sessions with Hindsight MCP tools

Load relevant long-term memory from Hindsight before starting any task

Build RAG pipelines and agent memory on Pinecone for semantic search and retrieval

Give agents a searchable memory of architecture, patterns and decisions

Design agent memory across context window, vector stores and long-term recall

Keep versioned agent memory in a .GCC folder for multi-step, cross-session work

Add persistent memory and semantic search to AI apps with Supermemory

Save decisions and insights to long-term agent memory with searchable tags

Give agents a four-tier memory that learns durable facts from past sessions

Log board decisions in two memory layers and track overdue action items

Design, review and prune agent memory so it keeps only what matters

Build persistent agent memory with entity tracking, temporal validity and graph retrieval

Search, add and curate long-term memory notes on demand across sessions

Operate agent memory with pending publication, merged search and snapshots

Give agents persistent memory across conversations with Honcho saved user context

Test whether an agent stores hostile instructions in long-term memory

Test agent memory and RAG knowledge bases for poisoned or contaminated content

Install, search and maintain the Agent Memory Vault shared memory system

Mirror local agent memory files into Open Brain whenever a memory is saved

Keep agent memory traceable with provenance, scope, review and use policies

Keep persistent memory across sessions in a Basic Memory knowledge graph

Set up ReMe file-native long-term memory and retrieve or write durable context

Teach when to recall long-term memory before acting and when to save decisions

Audit agent memory for hallucinations, circular confirmations and poisoned state

Store structured agent memory as a typed knowledge graph of entities and links

Save user preferences, successful patterns and error lessons to long-term memory

Save Lean 4 proof patterns and project conventions to persistent memory

Review agent memory for contradictions, gaps and stale facts, then propose fixes

Create and track team goals and tasks in a shared Deeplake-backed memory store

Move agent memory notes into tool-neutral docs that other coding CLIs can read

Audit and restructure a long-term memory tree for beliefs and retrieval paths

Save facts, caveats and small rationales to the memory store of a project

Re-verify stored agent memory against the live environment and flag stale entries

Add persistent memory and filesystem access to Deep Agents with storage backends

Store important step outcomes in long-term memory with automatic forgetting

Save step context to agent memory without moving or speaking by default