GBrain

gbrain is a hosted, cloud-based AI agent with persistent, long-term memory that adapts to a user’s preferences and way of thinking. It provides built-in skills for personal use and shared “brains” that support collaboration within teams and organizations.

Brainbase is a platform for deploying and managing internal enterprise agents at scale. It provides a Postgres-like memory primitive that agents can use. Brainbase Labs describes an agent-improvement workflow based on defining an ontology, establishing benchmarks and evaluations, shipping a narrow first agent, and iterating through instructions, skills, and playbooks.

Graybox is a local-first long-term memory and personal knowledge-management tool that stores notes as Markdown files with YAML frontmatter. It preserves an immutable inbox of raw captures while an LLM extracts people, projects, tasks, actions, meetings, events, decisions, and other entities into typed, cross-linked pages with backlinks and source citations. Its question-answering function retrieves evidence from captured notes and linked pages and is designed to refuse unsupported answers. Graybox uses keyword search without requiring a vector database, with optional embeddings, and uses LiteLLM to connect to hosted or self-hosted language models. It is distributed as an open-source command-line and terminal user-interface application, with a PyPI package and a GitHub repository.

agent-memory is a local-first, agent-agnostic long-term memory runtime for AI agents. It stores memories as plain Markdown files, with a rebuildable SQLite index used as a cache rather than the source of truth. Conversation-boundary hooks trigger writes, while an independent sleep-time Manage pass consolidates, ages, and forgets memories by value; unattended deletion is limited to proposals that require confirmation, and superseded or archived material remains available. The runtime provides three recall paths: deterministic MEMORY.md injection at session start, BM25 search with progressive disclosure, and direct access through the store's directory tree using tools such as ls and grep. Memory records use frontmatter for names, abstracts, status, timestamps, links, weights, and provenance, with free-form Markdown bodies. Its CLI, MCP server, and host-agent hooks share the same validation, hash-diff, and reindexing path, and it can be used by agents that run shell commands, including Claude Code and Codex CLI. The repository documents a Python 3.12-or-later setup using uv, commands for initialization, recording, recall, rebuilding, sleep-time consolidation, and proposal approval, plus host setup for Claude Code and Codex. It does not include an LLM client; reasoning is delegated to the host agent's CLI, so the library requires no separate model keys or billing surface.

Company Brain is an open-source Slack teammate developed by supermemory. It remembers decisions, projects, owners, and other context from the Slack channels and connected tools it can access, answers questions from that information, and can act through tools such as GitHub, Linear, Notion, and Google Workspace via MCP. It can open issues, read pull requests, run repository scripts in a sandbox, return charts, CSVs, and PDFs in Slack, speak up when relevant, and send scheduled digests or perform research. Its memory is organized as a permissions graph: public-channel queries use the shared organizational memory, private-channel queries add that channel's memory, and direct messages can use the asker's personal memory and private channels. Tool writes run through the user's own connection, while access requiring another teammate's connection requires that teammate's approval. The project runs on a user's Cloudflare account using Workers, Durable Objects, D1, KV, and supermemory for memory; it can be deployed through a setup flow or run locally. The repository states that the formerly paid product was discontinued and released under the Apache 2.0 license.