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AI · alternatives · 2026

24 alternatives to Granary by Speakeasy

The context hub for your agents

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 3 we have checked on their own sites, 3 of them free or with a free tier.

  1. 1

    We built an open-source proxy that sits between coding agents (Claude Code, OpenClaw, etc.) and the LLM, compressing tool outputs before they enter the context window. Demo: https://www.youtube.com/watch?v=-vFZ6MPrwjw#t=9s. Motivation: Agents are terrible at managing context. A single file read or grep can dump thousands of tokens into the window, most of it noise. This isn't just expensive — it actively degrades quality. Long-context benchmarks consistently show steep accuracy drops as context grows (OpenAI's GPT-5.4 eval goes from 97.2% at 32k to 36.6% at 1M…

    Mar 2026 · github.com · its alternatives →

  2. 2

    The AI coding agent that never compacts

    Feb 2026 · code.mastra.ai · its alternatives →

  3. 3
    Openbasefree▲216

    Manage your team of AI agents by voice, from anywhere

    Jul 2026 · openbase.cloud · its alternatives →

  4. 4
    Runtimefree tier, from $99/mo▲299

    Sandboxed coding agents for everyone on your team

    May 2026 · runtm.com · its alternatives →

  5. 5
    N71free tier, from $49/mo▲141

    Give all your AI agents one shared context

    Jul 2026 · n71.ai · its alternatives →

  6. 6

    Persistent memory for AI coding agents

    Apr 2026 · contextpool.io · its alternatives →

  7. 7

    OpenAgents - The collaboration OS for AI agents. Contribute to openagents-org/openagents development by creating an account on GitHub.

    Apr 2026 · open-agents.dev · its alternatives →

  8. 8

    Spawn sandboxes at the speed of natural language. Pause, resume, and snapshot the full state of an agent’s workspace — filesystem, processes, memory — and pick up later without losing context.

    May 2026 · anyframe.dev · its alternatives →

  9. 9

    Hey HN, After using a bunch of agents, my friend and I noticed a major issue: an agent could spend a bunch of time solving a tricky task, but when the session ended all that knowledge vanishes. Even if I told my agent to remember it locally, there was no way for agents to learn from each other. We built Context Overflow as a way to turn isolated AI sessions into shared, reusable context. With Context Overflow, agents can: - Search through past solutions when starting a task - Ask questions when they get stuck - Share findings when they solve a non-trivial problem We support a variety of ways…

    Mar 2026 · ctxoverflow.dev · its alternatives →

  10. 10

    hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…

    May 2026 · github.com · its alternatives →

  11. 11

    We’ve been working with automating coding agents in sandboxes as of late. It’s bewildering how poorly standardized and difficult to use each agent varies between each other. We open-sourced the Sandbox Agent SDK based on tools we built internally to solve 3 problems: 1. Universal agent API: interact with any coding agent using the same API 2. Running agents inside the sandbox: Agent Sandbox provides a Rust binary that serves the universal agent API over HTTP, instead of having to futz with undocumented interfaces 3. Universal session schema: persisting sessions is always problematic, since…

    Jan 2026 · github.com · its alternatives →

  12. 12

    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 · its alternatives →

  13. 13

    I've been presenting at local meetups about Context Engineering, RAG, Skills, etc.. I even have a vbrownbag coming up on LinkedIn about this topic so I figured I would make a basic example that uses bedrock so I can use it in my talks or vbrownbags. Hopefully it's useful.

    Apr 2026 · github.com · its alternatives →

  14. 14

    agents. Not a custom truncation strategy, not a sliding window, not dropping old messages and hoping for the best. The failure mode is well-understood: your context window fills up, you truncate from the top, and the agent loses the thread. It forgets the task it was working on, the file path it just wrote to, the UUID it needs to reference. The conversation breaks. The problem is everyone keeps solving it by throwing away information instead. Truncation is fast to implement and quietly wrong. The agent appears to work until it doesn't, and debugging context loss in a long-running session is…

    Mar 2026 · github.com · its alternatives →

  15. 15

    CoreMem lets you build collections of context, called a mem, and share it with any AI agent via URL, a Chrome extension, MCP, Cursor/VS Code plugins, a skill, and more. Instead of re-explaining your project or goal when you switch agents or start new sessions, CoreMem keeps your context centrally organized so that any AI tool can read it. This originally started as a CLI I built that kept pieces of context (Project A/B/C details, my writing style, preferred tech stacks, coding style, etc) in a SQLite database. I could instruct various agents to “use my `coremem` CLI to…

    May 2026 · coremem.app · its alternatives →

  16. 16

    Your company-wide AGENTS.md

    Jun 2026 · alignbase.ai · its alternatives →

  17. 17

    LangGraph orchestration scaffold (Python) + restricted tool runner (Rust) with batching and run traces. - christianmeurer/Lula

    Apr 2026 · github.com · its alternatives →

  18. 18

    I'm an "ideas person" who messes around with AI on a low budget. I got tired of watching my tokens vanish and context windows filling up while agents fumbled around trying to find the right thing. Agents don't flail like they used to with shell tools, but there are still weak/blind spots and back-and-forth episodes — especially when using tools in combination/sequence. So I built "tilth" today. Or rather, AI built it — every line is Opus 4.6. I spent a lot of my precious tokens getting it to "not shit" (at least several of the different vendors' AI overlords assure me it's not…

    Feb 2026 · github.com · its alternatives →

  19. 19

    Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior and multi-agent patterns—all while keeping track of everything without breaking anything. It was driving me insane. So I built UltraContext. The mental model is git for context: - Updates and deletes automatically create versions (history is never lost) - Replay state at any point The API is 5 methods:…

    Jan 2026 · ultracontext.ai · its alternatives →

  20. 20

    Run AI agents directly in your browser

    Nov 2025 · agentary.ai · its alternatives →

  21. 21

    Like git stash, but for your agent's working memory

    Apr 2026 · context-0.vercel.app · its alternatives →

  22. 22

    TLDR; I built a tool that turns any API into a CLI designed for ai agents --- Got tired of dealing with bloated context windows from MCP servers and skills that stuff entire API docs into the agent's context CLIs fix this, agents run a single command to self-discover everything an API has to offer So, built a tool to generate them for any api. All CLIs are written in Go, fast and lightweight, no dependencies Help text (via the --help flag) is the killer feature: all context for each command/endpoint/parameter is extracted directly from the user-facing API docs and enhanced with…

    Mar 2026 · instantcli.com · its alternatives →

  23. 23

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io · its alternatives →

  24. 24

    monetization engine for AI agents

    2025 · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →