Persistent Intelligence Infrastructure for AI Agents

MCP server for persistent context management in AI coding assistants

Persistent memory for Claude Code. Your AI never starts from scratch again.

Persistent memory for Claude Code — identity, context, and continuity across sessions

Session lifecycle management for Claude Code — persistent memory, soul purpose, reconcile, harvest, archive

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

30 sec to give your AI agents persistent memory. Reduce 90% token consumption while also maintaining quality.

Persistent memory for AI coding agents

Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.

MCP server for persistent Julia sessions — fast iteration without startup/compilation overhead

A self-organizing Obsidian vault that gives AI coding agents persistent memory. Claude Code, Codex CLI, Gemini CLI.

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

Persistent Claude Code agents with scheduling, sessions, memory, and Telegram.

Shared Memory That Never Forgets — persistent memory for AI agents with Space-based sharing across agents and teams. Plugins for OpenCode, Claude Code, OpenClaw, MCP Server.

Multi-agent orchestration for Claude Code. Persistent memory, tasks, rules, and skills that make AI agents actually coordinate.

Collective intelligence runtime for AI agents. Knowledge graph + persistent memory.

MCP server with persistent memory + FTS5 search for Claude Code conversation history. Index your ~/.claude/projects/, expose 10 MCP tools, browse via web UI. MIT-licensed.

Structured skill framework for Claude Code. 130 skills, persistent memory, TokenStack compression, localhost dashboard with 3-agent runner, real-time streaming, MCP tools.

Operating discipline for AI coding agents - persistent memory, enforced workflow, recorded decisions.

Persistent Linux workspaces for agentic development.

A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.

Persistent memory for Claude Code — 3-5x longer sessions, 60-80% fewer wasted tokens. Branch-aware, self-healing, token-efficient.

Self-correcting learning engine for Claude Code — persistent identity, behavioral pattern tracking, and cross-session memory

The open-source memory and observability layer for AI agents — persistent memory, loop detection, hash-chained audit trails, and a live dashboard, automatic on pip install.