Cross-agent messaging and shared memory over the local filesystem
A file-based protocol for multi-agent AI workflows — portable, auditable, human-in-command. Cross-agent communication and persistent shared memory across runtimes, projects, and machines. No daemons, no central server.
Cross-agent messaging and shared memory over the local filesystem launched on May 26, 2026 with 14 votes, #1,027 of 20,538 launches that month and more than 90% of that year's launches.
In plain words
Cross-agent messaging and shared memory over the local filesystem is a software tool designed for AI developers who need multiple agents to communicate and share data. It enables agents to exchange messages and maintain shared memory using the local filesystem as the underlying mechanism. The product addresses the practical challenge of inter-agent coordination in AI systems by providing a straightforward filesystem-based approach rather than requiring external infrastructure or services.
written from the facts on this page · September 2026
From the sources
A file-based protocol for multi-agent AI workflows. Two pillars — cross-agent communication and persistent shared memory . Across runtimes, projects, and machines. No daemons. No central server. Just files. 01 # Send a structured task to any runtime 02 $ oacp send my-project --to codex \ 03 --type task_request --subject "Review PR #42" 04 05 → msg_a8f1c2 queued · codex/inbox 06 → thread #42 opened 07 08 # Watch the conversation 09 $ oacp watch --thread 42 10 11 17:02 claude → codex review_request 12 17:04 codex → claude review_feedback (2 minor) 13 17:06 claude → codex review_addressed 14 17:06 codex → claude review_lgtm Pillar 1 · Communication Typed messages, between any agents. Async…from oacp.dev
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AgentmemoryMay 2026 · agent-memory.dev · ▲310Persistent memory for Claude Code, Codex & coding agents
20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Give your coding agents the ability to message each otherNov 2025 · github.com · ▲14I finally got around to making a tool I've wanted for a long time: you can basically think of it as being "like Gmail for coding agents." If you've ever tried to use a bunch of instances of Claude Code or Codex at once across the same project, you've probably noticed how annoying it can be when they freak out about the other agent changing the files they're working on. Then they start doing annoying things, like restoring files from git, in the process wiping out another agent's work without a backup. Or if you've tried to have agents coordinate on two separate repos, like a Python backend…

Agent RelayJun 2026 · github.com · ▲8We were spending a lot of time re-writing the same primitives in projects we were doing getting claude + codex + other harnesses communicating in real time. Many other projects forced us into using their framework or harness or into a specific stack. So we open sourced an SDK that acts as the messaging layer without the rest of it. Still early, but we've been working on it and found it useful.
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