2,206 tagged Memory and context, measured the same way as everything else here.
Browse within: agent-memory 213ai-memory 139local-first 110knowledge-graph 97knowledge-base 66embeddings 59knowledge-management 44obsidian 38markdown 34context-management 32coding-agents 29chatgpt 27context-engineering 23long-term-memory 23
MCP server Claude CodeCodexCursor +2
Local-first memory + judgment layer for AI coding agents — warns before repeating failed fixes. Runs locally from the projectmem Python package.
MCP server Claude CodeCodexCursor +2
Local memory for coding agents: search, MCP recall, auto-recall, secret redaction, SSH sync. Runs locally from the @vshulcz/deja-vu npm package.
MCP server Claude CodeCodexCursor +2
MCP server "memora" as configured in agentic-box/memora. Launched with memora-server. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "memorix" as configured in AVIDS2/memorix. Launched with memorix serve --mode lite.
MCP server Claude CodeCodexCursor +2
Local-first project memory with legacy MCP and 2026 discovery compatibility. Runs locally from the memorix npm package.
MCP server Claude CodeCodexCursor +2
Local-first memory for AI agents that reaches backward to find a failure's root cause. Runs locally from the vestige-mcp-server npm package.
MCP server Claude CodeCodexCursor +2
Compartment - high-security, fully offline, encrypted vector memory for AI agents (MCP). Runs locally from the compartment Python package.
MCP server Claude CodeCodexCursor +2
Context-window optimization: caching, compression & smart file tools that cut tokens 60-90%. Runs locally from the @ooples/token-optimizer-mcp npm package. Needs 1 environment variable to run.
MCP server Claude CodeCodexCursor +2
Long-term & multimodal memory for AI agents — character isolation, video pipeline, MCP server, mem0-compatible. Runs locally from the telemem Python package. Needs 3 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "episodic-memory" as configured in obra/episodic-memory. Runs ./cli/mcp-server-wrapper.js with node.
MCP server Claude CodeCodexCursor +2
MCP server "memmesh" as configured in ThinkfleetAI/memmesh. Launched with memmesh mcp.
MCP server Claude CodeCodexCursor +2
A distributed system for sharing experiences and lessons learned between AI agents. Its description says that a discovered pitfall can benefit the wider network.
MCP server Claude CodeCodexCursor +2
MCP server "chaosengine-memory" as configured in ShaftHQ/SHAFTENGINE. Runs .chaos-engine/tool.py with python3.
MCP server Claude CodeCodexCursor +2
MCP server "chaosengine-mempalace" as configured in ShaftHQ/SHAFTENGINE. Runs .chaos-engine/tool.py with python3. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
MCP server "mempalace" as configured in ShaftHQ/SHAFTENGINE. Runs .chaos-engine/tool.py with python3. Needs 2 environment variables to run.
MCP server Claude CodeCodexCursor +2
Local-first product graph for AI coding agents. Runs locally from the @aictx/memory npm package.
MCP server Claude CodeCodexCursor +2
MCP server "memx" as configured in NeoLi00/memX. Runs ${CLAUDE_PLUGIN_ROOT}/dist/.runtime/src/bin/memx-mcp.mjs with node. Needs 3 environment variables to run.
elara-labs/code-context-engine
MCP server Claude CodeCodexCursor +2
Save 94% on AI coding tokens. Index your codebase, agents search instead of reading files. Works with Claude Code, Cursor, Codex, Copilot, Gemini CLI. Local MCP server, free, open source. Runs locally from the code-context-engine Python package.
MCP server Claude CodeCodexCursor +2
Local-first documentation for AI agents. Offline, instant, private doc retrieval. Runs locally from the @neuledge/context npm package.
MCP server Claude CodeCodexCursor +2
MCP server "open-second-brain" as configured in itechmeat/open-second-brain. Launched with ${CLAUDE_PLUGIN_ROOT}/scripts/o2b mcp.
MCP server Claude CodeCodexCursor +2
Task-aware context compression for logs, RAG, and coding workflows. Runs locally from the melonelish-context-engine Python package.
MCP server Claude CodeCodexCursor +2
MCP server "memophant" as configured in awizemann/harness. Launched with ./.memophant/mcp/memophant-mcp --project-root . --default-project harness.
MCP server Claude CodeCodexCursor +2
AI-First Development Framework - An MCP Implementation. Runs locally from the paelladoc Python package.
MCP server Claude CodeCodexCursor +2
Persistent memory infrastructure for AI agents. Identity, knowledge graph, and search. Runs locally from the ori-memory npm package.