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Alternatives

Products that do what AgentID does

Shared memory, identity and tasks. Lower token costs.

  1. 1
    Offsite576

    Build teams of humans and agents, watch them work.

    Apr 2026 · joinoasis.com

  2. 2

    Persistent memory for Claude Code, Codex & coding agents

    May 2026 · agent-memory.dev

  3. 3

    Tag any agent, wherever work happens.

    29d ago · agentconnect.md

  4. 4

    The visual feedback tool for AI agents

    Mar 2026 · agentation.com

  5. 5
    Grov123

    Shared and synchronized AI memory + reasoning across teams

    Dec 2025

  6. 6

    Let every AI remember the same you.

    Jul 2026 · memmy.bot

  7. 7

    Bridging research and action

    2025

  8. 8
    Axel271

    Todoist for AI coding agents

    Feb 2026

  9. 9

    Power your AI agents with enterprise-ready tools via MCP

    Oct 2025

  10. 10
    Vokal444

    A collaboration space for 10x teammates with their Al agents

    Jun 2026 · vokal.team

  11. 11

    Parallel custom agents for complex tasks

    Mar 2026 · learn.chatgpt.com

  12. 12
    Clawther378

    Give your OpenClaw agent a real task board

    Mar 2026 · clawther.com

  13. 13

    Your AI agents team, terminals, notes: one infinite canvas

    Jul 2026 · agentgrid.sh

  14. 14
    agmsg245

    Stop copy-pasting between your AI coding agents

    Jun 2026 · github.com

  15. 15

    Run agent workflows the community already built

    Apr 2026 · epismo.ai

  16. 16

    Shared memory & coordination layer for AI agent teams

    Jul 2026 · agenthelm.online

  17. 17

    Codex-powered agents for teams.

    Apr 2026 · openai.com

  18. 182C

    Single-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…

    Feb 2026 · github.com

  19. 19

    Cut your AI token costs by 40-60% with one API call

    Feb 2026

  20. 20AD

    I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…

    May 2026 · github.com

  21. 21

    I think agent-first chat interfaces will be a primary software modality and busy dashboard/UI will go away. I’m not sure who exactly wins it, but I want my knowledge to grow/go with me. A lot of the “knowledge” ie research, analysis, reasoning will be done by agents as the primary user. Our current notes tools & tasks management systems were built for humans… I don’t care what the 17th thing on my bug backlog is. I want to conduct agents that can execute for me and do great work. What I built OzBrain to do: + Create a central place for agent reasoned knowledge to live + Be agnostic…

    16d ago · ozbrain.com

  22. 22
    RoBrain71

    Shared AI memory that stops agents from repeating mistakes

    May 2026 · github.com

  23. 23AL
  24. 24

    Visual debugging, tracing, and replay for agent workflows

    Apr 2026 · agenticlens.in

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