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    Evidence-governed coding agent memory and knowledge lifecycle MCP server for DeepSeek Harness (DSH), OpenAI Codex, and Google Antigravity. Provides local SQLite FTS5 + semantic hybrid retrieval, automatic session/compaction checkpointing, counter-example demotion, and a hard 1,200-char context budget guardrail with zero third-party Python dependencies.
    11
    1
    MIT
  • A
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    A local markdown memory and cross-agent context engine for AI coding assistants. It provides an MCP server with tools to search, add, retrieve, and distill persistent memory across tools like Claude Code, Cursor, and Zed.
    37 PyPI
    5
    MIT
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    Centrally manages Claude agent definitions, configurations, and custom commands across multiple devices using a SQLite database, eliminating file synchronization conflicts and enabling live updates across all connected Claude sessions.
    MIT
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    Enables AI agents to read and write a local-first Markdown/Obsidian notebook via a single capture call that routes text into the right notebook, board, or daily journal entry and returns related notes, alongside search, note and card management, and numeric metric series. Access is governed by per-agent tokens with read/write/admin scopes, optional folder restrictions, and an audit log of every action.
    1,274 npm
    MIT
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    A self-improving knowledge agent that provides local retrieval, web research, and structured answer synthesis for Claude Code and VS Code Copilot via MCP. It enables AI tools to manage a project-specific knowledge lifecycle through automated research and indexing.
    12
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    MIT
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    Exposes tools that let an agent search a local Markdown-based memory store, fetch full cards by id, write new knowledge cards that are indexed immediately, and inspect or rebuild the SQLite index. All retrieval runs locally over Chinese-friendly full-text search with graded exact/prefix matching, so agents without a memory system can recall prior notes while existing Markdown files stay read-only.
    5
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    MIT
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    An MCP server that provides persistent memory capabilities for AI agents using Mem0, enabling storage, search, and management of contextual information across conversations with support for multiple backends and LLM providers.
    18
    52 PyPI
    MIT
  • A
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    MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.
    4
    61 npm
    6
    MIT
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    Enables agents to manage persistent long-term memory through MCP tools for searching, adding, updating, giving feedback, and forgetting memories, with automated pipelines for redaction, distillation, and reconciliation.
    13
    MIT
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    Enables AI agents to search and inspect a Windows machine's local inventory of agents, skills, MCP servers, projects, and cross-agent work records, with tools for full-text search, overviews, project details, and reindexing. All data stays local and only matching snippets enter model context.
    8
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    MIT
  • A
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    Enables cross-session memory and recall for AI coding assistants through a git-synced knowledge base, hybrid semantic and TF-IDF search across tool transcripts, and automatic distillation of insights with secrets scrubbing.
    6
    607 npm
    19
    MIT
  • A
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    Universal session & handoff layer for AI coding agents: shared task, decision, blocker and test state, checkpoints, and deterministic handoff between Claude Code, Codex, OpenCode, Cursor, Cline, pi and omp. Local SQLite, git-aware, 25 tools + 7 resources over stdio or streamable-http.
    26
    MIT
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    Automatically maintains a personal journal on behalf of an AI agent, storing text, photos, and voice notes as plain markdown files locally. Enables agents to add entries, recall memories, and reflect on patterns without user intervention.
    11
    46 npm
    MIT
  • A
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    Enables project-scoped agent memory backed by a per-project SQLite index and raw data store, plus a global registry for discovering local memory workspaces. Agents can search summaries, retrieve original records on demand, save new memories, and link related records without sharing memory across projects.
    4
    MIT
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    An MCP server for managing agent memory using provenance tracking, decay-weighted retrieval, and feedback loops to optimize information recall. It allows agents to store insights in a local SQLite database and rank them based on confidence, age, and usefulness.
    4
    53 npm
    MIT
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    Long-term memory for AI agents. Compiles conversations into a structured knowledge base with Claim/Evidence model, source provenance, append-only timeline, and contradiction detection. Multi-path retrieval (Exact + BM25 + Graph + weighted RRF + reranker) — 96.6% R@5 on LongMemEval-S, zero vector dependencies.
    8
    3
    MIT
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    Shared knowledge graph for AI coding agents. Search, create, and link verified technical knowledge across 12 node types with trust scoring, demand signals, and auto-provisioning. Install: npx agent-hive-mcp
    10
    4 npm
    MIT
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    Enables AI assistants to maintain long-term memory by logging and retrieving facts and decisions in a SQLite database, with relevance ranking and full history tracking.
    7
    30 PyPI
    MIT
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    Windows-local MCP for Steam Balatro: tool-calling AI reads player-visible state, chooses and executes native actions, confirms results, and saves local experience. Glama's Linux sandbox can introspect MCP and run game-independent tools such as calculate, but cannot connect to Balatro on the user's Windows machine. Without the local game, health reports disconnected.
    4
    12
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    MIT
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    A local MCP server that provides AI agents with persistent sticky-note memory, storing Markdown notes on disk and offering tools for creating, reading, updating, deleting, searching, and listing notes across sessions.
    13
    MIT
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    Personal finance MCP server that integrates Plaid bank data with local SQLite memory for conversational budgeting, goal tracking, and transaction management.
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    MCP server for agent-maintained memories, allowing creation, reading, updating, deletion, and listing of memories with global or repo scopes.
    6
    5 npm
    1
    MIT
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    MCP server providing persistent memory management for AI agents using SQLite and FTS5, enabling storage, full-text search, and recall of memories with namespace isolation.
    1
    MIT
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    Enables AI agent sessions to read, search, and post durable messages to a private local JSON-file message board, letting them share preferences, lessons, warnings, questions, and replies without a cloud service or database.
    17 npm
    1
    MIT