Pi coding-agent extension that recalls and captures session memory through Supermemory.
Query FDA data on drugs, food, devices, and recalls via openFDA. STDIO or Streamable HTTP.
Decode VINs, search recalls, complaints, crash ratings, and investigations via MCP. STDIO or Streamable HTTP.
Recalls a function with specified default arguments.
Persistent memory plugin for OpenCode — captures, compresses, and recalls context across coding sessions
Experience learning plugin for ElizaOS - records and recalls transferable agent learnings
Move recalls to available items
MCP server for querying U.S. FDA public datasets - drugs, devices, adverse events, recalls, and more
A FDA Food Recalls Provider for Koop
Saves & recalls window positions on Linux systems.
Free VIN decoder MCP server — NHTSA, EPA, safety ratings, recalls, fuel economy, vehicle photos
MCP server for FDA drug events, drug labels, and food recalls via openFDA API
Cognitive memory system for AI agents. Extracts facts and causal relationships, consolidates during sleep cycles, recalls with reasoning.
MCP server for FDA drug events, drug labels, and food recalls via openFDA API
MCP server for openFDA — drug adverse events, labels, recalls, device safety reports. No API key required (optional for higher rate limits).
ClinicalTrials.gov search with openFDA drug events, labels, recalls, and pipeline analysis
SDK, MCP, and CLI for the auto.dev APIs
Zep: Fast, scalable building blocks for production LLM apps
Coding agent CLI with read, bash, edit, write tools and session management
Minimal Kanban task tracking with MCP integration for Claude Code
Local-first persistent memory for AI coding agents: reliable embed → persist → recall over MCP.
Open-source memory for AI coding agents you own in git — governed by a real user→team→org hierarchy, not a vendor database. Solo to team. Apache-2.0.
A chat interface for AI coding agents — control Claude Code, Codex, Gemini CLI, OpenCode from browser and mobile
HelixMind – AI Coding CLI with Persistent Spiral Memory that Compounds
Local search and recall for Codex session JSONL archives
Macro suite for the recallable crate: enables model with #[recallable_model] and automatic trait derives for `Recallable` and `Recall`.
Traits (`Recallable`, `Recall`, `TryRecall`) and macros for defining Memento pattern types and their state restoration behaviors.
Persistent memory system with knowledge graph — for any LLM tool
爱憎 — preference memory for AI agents: extract, decay, and recall user likes and dislikes via flash LLM + SQLite
AI-agnostic persistent memory system — MCP server, HTTP API, and CLI for any AI platform
SDK-first STTP memory primitives and AI provider abstraction
A chain and object provider for Recall.
The top-level user interface for managing Recall object storage and timehubs.
A transaction signer for Recall.
Local GraphRAG memory for LLMs in a single SQLite file
Semantic memory with SQLite and Qdrant for Zeph agent
A Ruby wrapper for the Recalls APIs.
A Ruby wrapper for the Recalls APIs.
Factis is a simple DSL for tracking state and such in your tests without muddying up the global object space.
Attribute serialization and recall for multilingual model attributes.
Find vehicle recall info by manufacturer and VIN
Official Ruby SDK for BrainzLab observability platform. Includes Recall (structured logging), Reflex (error tracking), and Pulse (APM with distributed tracing). Auto-instruments Rails, Sidekiq, GraphQL, Redis, and more.
Gives Claude Code persistent memory across sessions. Claude recalls your codebase architecture without file traversal, enforces project conventions during code generation, tracks decisions with rationale, and remembers your preferences across all projects. Zero-config via Hooks + MCP.
Save and recall your terminal commands with timestamps
Total Recall for Mongoid
Rumale::EvaluationMeasure provides evaluation measures, such as accuracy, precision, recall, and f-score, with Rumale interface.
A set of methods for processing keyboard input in character, line and multiline modes. It maintains history of entered input with an ability to recall and re-edit those inputs. It lets you register to listen for keystroke events and trigger custom key events yourself.
Hopfield networks can be used for smart pattern recollections. It's recalling patterns by modelling associative memory of a neural network