cross-agent-memory

Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.

Long-running fleet orchestration and memory infrastructure for AI agents. Enables persistent context, shared memory, task execution, and governed coordination across multi-agent systems.

Multi-agent memory governance demo using Caura + OpenClaw. Three agents (Sales, Legal, Admin) share one memory backend with hard fleet boundaries enforced at the query layer. Shows scoped writes, blocked recall, cross-fleet synthesis, and conflict detection.

MCP-native infrastructure for persistent AI agent memory with encrypted storage, semantic retrieval and cross-agent continuity.

One memory for all your AI agents. Local markdown files shared across Claude Code, Codex, Cursor, and any skills-compatible agent..

Portable, local-first AI agent memory and personal context—switch agents without losing identity, goals, rules, or evidence.

💻 iTerm2 keyboard shortcut to fork the active coding agent CLI session into a new tab. Suports cross-agent session forking, e.g. codex <-> claude, claude <-> opencode, codex <-> opencode

Local-first persistent memory MCP server for Claude Code, Codex, Cursor, Qwen Code, and AI coding agents. Cross-session, cross-agent SQLite memory.

Local SQLite memory for LLM agents and cross-agent context sharing

Shared project memory across Codex, Claude Code, Kimi Code, Antigravity, and any coding-agent harness.

RCLL — self-hosted shared memory for a team of AI agents. Rooms, hierarchical L0-L3 depth, MCP. The read path never invokes a language model. We publish the measured cost of one shared store versus ten private ones. Fork of vectorize-io/hindsight (MIT).

Python SDK for Synapse Layer — persistent, encrypted, cross-agent memory for AI agents.