adelinamart/robrain

Persistent decision memory for AI agents: rationale, rejected approaches, and entity history. Connect any compatible agent through local MCP or the CLI.

AI coding agents forget. They forget across sessions, and they forget across tools. A decision you reached in Claude Code at midnight is invisible to Cursor the next morning. Honeycomb fixes that. Learn something once; recall it everywhere,

AI Agent Memory

Procedural memory for AI coding agents: transforms scattered session history into persistent, cross-agent memory so every agent learns from every other

Solution for long term memory for agent coding CLIs and to facilitate handoff between different agent vendors

Engineering memory for coding agents: the decisions, fixes and constraints behind your code, with who recorded them, the files and the commit, recalled by every agent on the team in Claude Code, Codex, Cursor, Copilot and 60+ MCP clients. Self-hosted community edition; Recallium Cloud at recallium.ai.

Stop re-teaching your agent. Make your agent's memory work like a brain. Hippo is long-term memory for coding agents. It's a critical layer for your AI harness that connects across your different tools (Cursor, Claude Code, Codex). It keeps your proprietary data completely local, and it actually learns over time.

Local-first semantic memory for AI assistants — one store your preferences, decisions and gotchas follow you into, across Claude Code, Codex, Cursor and Zed.

#1 Persistent memory for AI coding agents based on real-world benchmarks