"Gcore" matching MCP servers:

Enables assistants to save commitments with context and next actions, recall them in later sessions, and resume them as next-step cards over MCP.

Self-hosted MCP server for long-term memory in AI coding assistants, capturing decisions, conventions, and discoveries as structured traces with tag and keyword search.

Local-first personal cognitive engine that provides MCP tools for managing relationships, conversations, agenda, and memory, powered by Ollama.

A generic X/bookmark intelligence MCP core for ingesting, enriching, and retrieving bookmarks with semantic search, brief generation, and academic paper scanning, exposed as MCP tools.

A headless local knowledge library and RAG substrate that enables LLM clients to search, retrieve chunks, and list documentation packs through read-only MCP tools.

Enables AI agents with persistent, multi-layer memory, multi-agent collaboration rooms, and video generation, all accessible via MCP tools.

A local capability layer for AI agents providing persistent memory, credential management, connectors, and activity tracking.

Enables autonomous multi-agent workflows to capture, preserve, and retrieve immutable transcripts and atomic memory cards through a local MCP server, providing tools for forensic search, topic mapping, and structured fact access without losing context fidelity.

Enables MCP-compatible agents to read explicitly specified persona files, long-term memories, daily summaries, and valid continuation cards through read-only context tools. It supports keyword recall and limited source retrieval with source numbering and eligibility re-checks.

Provides deterministic, read-only access to engineering decisions, requirements, and designs stored as Markdown in a repository, enabling agents to retrieve and follow decided context without embeddings or external services.

Enables AI agents to hand high-level objectives to a decision-making core that autonomously reasons, plans, enforces deterministic policy, executes capabilities, evaluates outcomes, and persists semantic memory over stdio or Streamable HTTP.

A persistent memory MCP server for AI assistants, storing and retrieving notes using local JSONL files with BM25 search.

Shared, code-grounded memory for developers and their coding agents. Capture a learning once and the whole team plus every agent recalls it; memory is grounded in your code and stored as git-tracked JSON reviewed in PRs, with citations validated on write and stale memory withheld from recall. Works with any MCP client.

A server that provides data retrieval capabilities powered by Chroma embedding database, enabling AI models to create collections over generated data and user inputs, and retrieve that data using vector search, full text search, and metadata filtering.

MCP server providing structured continuity memory for AI coding agents, tracking decisions, open loops, and session state in local SQLite. Enables agents to resume work from verified state across sessions without replaying transcripts.

Independent MCP server for tracking food inventory, estimating best-before dates, managing consumption, and returning expiry reminders to MCP clients.

Shared, versioned memory for your agents across Claude Code, Cursor, Kiro and Grok. One MCP server, sourced answers, full history.

Enables persistent, auditable business operations state by storing knowledge, evidence, decisions, tasks, execution receipts, and review results in a local SQLite database, so different sessions can continue the same project.

Connects any MCP-compatible AI client to Letta.ai's stateful agents for agent conversations, memory management, and tool orchestration.

Outcome-based persistent memory for AI coding tools.