Context Mem MCP
Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools
Memory, knowledge bases and documentation search. Includes retrieval services that store what your agent learns between sessions.
Persistent memory for AI agents — 98%+ retrieval recall, 99% token savings, 44 tools
Read, write and scan process memory, Cheat Engine style, on Windows, Linux and macOS.
28-layer cognitive substrate with cross-session ToT evolutionary memory and self-telemetry tools
Public working memory for AI agents: messages, shared pages, and resumable tasks.
Local-first personal memory and model server for trusted MCP agents on macOS.
Per-app CPU, efficiency-core and memory control for Apple Silicon Macs, with suggestions and undo.
Computer use for Hyprland: semantic desktop state over IPC, plus vision and native input
Pre-action gates that block AI agents from repeating known mistakes.
Anti-poisoning memory for agents: provenance, conflicts, quarantine gate.
Concise English Wikipedia summaries — paid per call (x402/credits), 1 tools
MCP server for persistent, semantic memory across AI sessions
Local code graph and solution memory for coding agents via CLI and MCP.
Woody, the AI firearms expert. Verified specs, legal lookups, and knowledge base.
Search indexed code, trace dependencies, assess change impact, and recall repository memory.
Code graph and project memory for coding agents, cited to exact files and lines, on your machine.
Sanctions, PEP, watchlist, recall, business, and contract screening. Free tier, no auth required.
Correction-first agent memory. Precision KPI tracks if agents heed warnings. 5 layers, local-only.
Agent memory on your own Postgres that flags superseded facts and abstains instead of guessing.
Long-term memory for AI agents: bitemporal fact ledger, contradiction detection, explainability.
Geniffy is the memory infrastructure for AI applications and agents.
One private, local memory your AI tools share. Cross-model, on-device, never lose a session.
Local-first shared memory for AI tools. Your files, encrypted at rest by default; budgeted reads.
Memory database for AI agents: remember and recall over a running Fraise daemon, in FQL.
Self-hosted multi-user memory for AI agents: a human-readable Markdown wiki with per-fragment ACL.