A
licenseA
qualityC
maintenanceAn MCP server that makes your AI agent learn and evolve by capturing feedback as reusable, persistent skills that improve over time.
10
1
MIT
72,464 servers. Updated
Search Relevance ↓
Recent Usage ↓
Date Added ↓
Date Updated ↓
Weekly Downloads ↓
GitHub Stars ↓
Recent GitHub Stars ↓
Matching MCP tools:
Matching MCP Connectors:
com.microsoft
com.learnthedao
app.learnwithagents
io.github.capabilityhostprotocol
"scikit-learn" matching MCP servers:
- AlicenseAqualityCmaintenanceMCP server for persistent, compounding memory that automatically captures corrections and insights across AI sessions, enabling agents to learn and improve over time.5364MIT
- AlicenseAqualityCmaintenanceA package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.43MIT
- AlicenseAqualityBmaintenanceEnables AI agents to learn from their sessions by inspecting history, proposing rules or skills, and automatically persisting them to configuration files.4MIT
- FlicenseAqualityDmaintenanceEnables AI-powered journaling in Obsidian with dynamic reflection prompts generated from recent entries and automatic backlinks between related diary entries. Supports adaptive templates that learn from writing patterns and smart content similarity linking.54
- FlicenseAqualityCmaintenanceEnables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.6
- FlicenseBqualityFmaintenanceIntercepts Claude conversations via MITM proxy and stores them in Mem0, enabling Claude to search and recall past conversations, learn user preferences, and maintain context across sessions.61
- Alicense-qualityDmaintenanceEnables robots to store, retrieve, and consolidate episodic experiences including physical parameters, trajectories, and outcomes. It supports hybrid vector search with structured filtering and spatial sorting to help robotic agents learn from past successes and failures.28Apache 2.0
- Alicense-qualityCmaintenanceCaptures and encodes developer rejections of AI output into reusable constraints, enabling agents to learn from past mistakes and apply taste consistently across projects.19MIT
- Alicense-qualityBmaintenanceHelps AI agents decompose goals into costed execution plans, checkpoint progress with deviation tracking, and learn from past project data.31MIT
- Alicense-qualityBmaintenanceDutch registered MCP server for AstraNL coordination protocol connecting humans AI agents and robots. Provides tools for robot index (46 robots across 11 categories), KvK compliance checks for Dutch companies, ACP v1.0 protocol primitives (DESCRIBE, MATCH, SHIELD, EXECUTE, SETTLE, LEARN), and multi AI consensus reviews. Production endpoint with 61 monitored organs and GDPR compliance.MIT
- Alicense-qualityBmaintenanceEnables AI agents to design RF filters and SMPS-EMC from spec using three MCP servers that drive LTspice, Qucs-S, and scikit-rf, with closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.AGPL 3.0
- Alicense-qualityDmaintenanceAn MCP server that enables AI agents to automatically discover, install, and learn to use new tools without manual configuration.5415MIT
- Alicense-qualityDmaintenanceEngram MCP provides persistent, cross-session memory for AI agents by automatically encoding errors, decisions, and discoveries during development sessions. It enables local, intelligent recall and automated context management to help AI learn from experience and avoid recurring mistakes.20Business Source 1.1
- Alicense-qualityDmaintenanceImplements Agentic Context Engineering to create self-improving AI coding assistants that learn from execution feedback and build persistent knowledge playbooks. Reduces token usage by 86.9% while improving code accuracy by 10.6% through incremental context updates.4MIT
- Alicense-qualityBmaintenanceEnables AI agents to share persistent, conflict-safe memory by providing tools to recall, learn, reinforce, and retire lessons, using CockroachDB for storage and AWS Bedrock for embeddings.MIT
- Alicense-qualityBmaintenanceEnables AI agents to learn from their work by recording tasks, extracting patterns, detecting mistakes, and proactively surfacing insights, all using the agent's own model through a cooperative intelligence pattern.MIT
- Alicense-qualityCmaintenanceProtocol-enforced learning system combining memory-augmented reasoning with workflow automation to improve AI assistant reliability by ensuring they learn from past experiences before making code changes.11MIT
- Alicense-qualityCmaintenanceHelps AI coding agents remember what they learn across sessions by storing and retrieving atomic learnings, enabling persistent memory for AI tools.111MIT
- Flicense-qualityCmaintenanceAn MCP server demonstrating sampling, where the server asks the host to run model calls, with a spend gate that estimates costs and refuses over-budget calls.