thedotmack/claude-mem
Claude-Mem is a plugin for Claude Code that captures, compresses, and preserves coding session context to enable persistent memory and continuity across sessions.
Awesome AI Agents › Continual Learning Agents
aden-hive/hive
Hive is a Python-based, outcome-driven framework for developing and deploying AI agents that can evolve and improve over time. It emphasizes the creation of agents that are not only autonomous but also adaptable through continuous learning and self-correction. The framework integrates key components for robust agent development, including AI evaluation mechanisms that allow for performance assessment and refinement. Human-in-the-loop functionalities ensure that human oversight and intervention can guide agent behavior and learning processes, making them more reliable and aligned with complex tasks. Hive supports the use of advanced large language models (LLMs) such as OpenAI and Anthropic's Claude, enabling sophisticated natural language understanding and generation capabilities. Its design focuses on observability, providing developers with insights into agent operations, and it features self-improving characteristics, allowing agents to enhance their skills and decision-making over time. The framework is suitable for various applications requiring intelligent automation and aims to foster the creation of truly autonomous and adaptive AI systems, supporting self-hosted deployments for greater control and customization.
https://github.com/aden-hive/hive
Also in Continual Learning Agents
vectorize-io/hindsight
Hindsight is an agent memory system designed to create smarter, learning AI agents, addressing limitations of traditional memory techniques like RAG and knowledge graphs.
langchain-ai/langchainjs
LangChain.js is a TypeScript framework for building context-aware, reasoning applications powered by large language models, offering modular components, chains, agents, and tools for production and deployment.
aiming-lab/MetaClaw
Proxy-based layer that turns everyday conversations with a personal agent into learning signals, injecting skills per turn and running scheduled reinforcement learning updates without a local GPU.
kayba-ai/agentic-context-engine
Agentic Context Engine (ACE) is a framework that enables AI agents to autonomously learn from their successes and failures, continuously improving their performance across various tasks without additional training data or fine-tuning.
AgentDock/AgentDock
AgentDock is an open-source framework for building sophisticated AI agents with configurable determinism, enabling reliable and creative AI applications through a node-based architecture and multi-stage workflows.
modelscope/AgentEvolver
Self-evolving agent training framework from ModelScope that combines automatic task generation, experience-guided exploration and attribution-based credit assignment into one reinforcement learning stack.
ghostwright/phantom
Self-hosted persistent AI co-worker built on the Claude Agent SDK that runs on its own machine with long-term memory, self-evolution, an MCP server and Slack, Telegram, email and web channels.