AI · alternatives · 2026

24 alternatives to TokenZip

Open protocol for AI agents to share memory, not tokens

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1. 1
   AgentReady▲118

   Compression API that reduces prompt size by 40-60% before sending to your LLM. Your API key never leaves your environment.

   Feb 2026 · agentready.cloud · its alternatives →

2. 2
   Agentmemory▲310

   Persistent memory for Claude Code, Codex & coding agents

   May 2026 · agent-memory.dev · its alternatives →

3. 3
   Tokenwise▲143

   A smart LLM proxy that shows where you're overpaying

   Jun 2026 · tokenwisehq.com · its alternatives →

4. 4
   OpenBrowser-AI▲76

   Your AI agent is burning 6x more tokens than it needs to just to browse the web. We built OpenBrowser MCP to fix that. Most browser MCPs give the LLM dozens of tools: click, scroll, type, extract, navigate. Each call dumps the entire page accessibility tree into the context window. One Wikipedia page? 124K+ tokens. Every. Single. Call. OpenBrowser works differently. It exposes one tool. Your agent writes Python code, and OpenBrowser executes it in a persistent runtime with full browser access. The agent controls what comes back. No bloated page dumps. No wasted tokens. Just the data your…

   Apr 2026 · openbrowser.me · its alternatives →

5. 5
   UTCP▲169

   The open, direct alternative to MCP for tool calling

   2025 · utcp.io · its alternatives →

6. 6
   OpenAI WebSocket Mode for Responses API▲131

   Persistent AI agents. Up to 40% faster.

   Mar 2026 · developers.openai.com · its alternatives →

7. 7
   Open-source browser for AI agents▲155

   Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…

   Mar 2026 · github.com · its alternatives →

8. 8
   Maki▲84

   An efficient AI coding agent. Native Rust TUI. Immediate startup, 60 FPS, low memory. Indexes files instead of reading them, chains tools in a sandbox interpreter. Anthropic, OpenAI, Google, Z.AI, OpenRouter, Synthetic, or any OpenAI / Anthropic compatible API.

   2022 · maki.sh · its alternatives →

9. 9
   TokenVeil▲12

   Self-hosted AI proxy. Your data never leaves your network.

   Jul 2026 · tokenveil.eu · its alternatives →

10. 10
    Free LLM API▲86

    Access 1 billion tokens per month for free

    Apr 2026 · github.com · its alternatives →

11. 11
    AurraCloud▲18

    Hosted MCP and AI agent tooling for crypto & DeFi

    2025 · aurracloud.com · its alternatives →

12. 12
    SuperCompress▲16

    Cut your LLM Token Costs by 65%

    Jul 2026 · supercompress.dev · its alternatives →

13. 13
    Trust Protocols for Anthropic/OpenAI/Gemini▲40

    Much of my work right now involves complex, long-running, multi-agentic teams of agents. I kept running into the same problem: “How do I keep these guys in line?” Rules weren’t cutting it, and we needed a scalable, agentic-native STANDARD I could count on. There wasn’t one. So I built one. Here are two open-source protocols that extend A2A, granting AI agents behavioral contracts and runtime integrity monitoring: - Agent Alignment Protocol (AAP): What an agent can do / has done. - Agent Integrity Protocol (AIP): What an agent is thinking about doing / is allowed to do. The problem:…

    Feb 2026 · mnemom.ai · its alternatives →

14. 14
    doc2mcp▲18

    Paste a docs URL, get a hosted MCP server for AI agents

    Jun 2026 · doc2mcp.site · its alternatives →

15. 15
    OAuth for AI Agents▲8

    I’ve been experimenting with AI agents lately, and one problem kept coming up: they either get a raw API key with full access or nothing at all. That’s risky, especially if you’re testing agents that can make arbitrary calls. So I hacked together a tiny package called Kage Keys - https://github.com/kagehq/keys It lets you wrap agent actions with scoped, short-lived tokens instead of handing over your real API keys. Example: ```js import { withAgentKey, getLogs } from "@kagehq/keys"; async function main() { await withAgentKey("github:repos.read", async () => {…

    2025 · github.com · its alternatives →

16. 16
    Vexp▲14

    I built vexp because AI coding agents have two expensive problems: they waste tokens reading irrelevant code, and they forget everything between sessions. The token problem: agents read entire files linearly to build context. On a medium TypeScript project, a single query was consuming ~18k tokens — most of it irrelevant. vexp builds a dependency graph from the AST (who calls what, who imports what, what types flow where) and serves only the relevant subgraph as a token-budgeted capsule. ~2.4k tokens instead of ~18k, with better response quality because the context is precise. The memory…

    Mar 2026 · vexp.dev · its alternatives →

17. 17
    TokenTelemetry▲9

    See what your AI coding agents think, cost and do

    Jul 2026 · tokentelemetry.com · its alternatives →

18. 18
    TokenTrim▲10

    Trim your AI prompts. Same answer, 40% fewer tokens.

    Sep 2026 · chromewebstore.google.com · its alternatives →

19. 19
    Mingle▲3

    I built an autonomous AI agent running 24/7 on a Mac Mini (16 tools, persistent memory, proactive scheduler). Kept hitting token budget walls on ambitious tasks — agent starts something good, runs out of tokens, stops. So I wrote a protocol for agents to collaborate: discover each other, propose projects, vote on resource allocation (one agent = one vote, cryptographically bound to one owner), pool tokens, execute together. Key decisions: reputation-weighted not wealth-weighted governance, privacy-first (share knowledge never owner data), protocol evolves through agent voting.

    Mar 2026 · aeoess.com · its alternatives →

20. 20
    TokenBus▲2

    The transparent, ultra-fast proxy for DeepSeek API

    Jun 2026 · tokenbus.org · its alternatives →

21. 21
    Cross-agent messaging and shared memory over the local filesystem▲14

    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.

    May 2026 · oacp.dev · its alternatives →

22. 22
    MCP Server with HTTP support instead of stdio/sse▲11

    Admittedly I work on this, but I anthropic's decision to finally embrace http, auth (at least a little), and other RFCs that are coming out is just great. With OpenAI behind it too, this ecosystem will be built around projects like this. Not saying it's MCP or not, but it'll be one of them

    2025 · twitter.com · its alternatives →

23. 23
    OpenMemory▲9

    Give AI agents long-term memory. Not vector search or RAG

    Dec 2025 · github.com · its alternatives →

24. 24
    projectmem▲9

    Memory + judgment for AI coding agents (local, MIT)

    May 2026 · projectmem.dev · its alternatives →

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 →