AI · alternatives · 2026
24 alternatives to Super Agent Stack
Reliable AI with zero hallucinations and memory
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
OpenHuman▲549An open source AI harness built with the human in mind
May 2026 · tinyhumans.ai · its alternatives →
- 2
The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
Mar 2026 · georgelarson.me · its alternatives →
- 3
Agentmemory▲310Persistent memory for Claude Code, Codex & coding agents
May 2026 · agent-memory.dev · its alternatives →
- 4
SuperHQ▲95Hey HN, I built SuperHQ, an app that lets you run coding agents in local sandboxes (powered by Shuru). No custom UI wrapping the agents, they run as CLI/TUI like they were designed to. It just provides you the tools most of us (okay, maybe just me?) needed for running multiple coding agents in parallel without worrying about breaking your system or work environment. Each agent runs in its own microVM. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a unified diff view to accept or discard changes. API keys never enter the sandbox, they…
Apr 2026 · superhq.ai · its alternatives →
- 5
Superexpert.AI▲107Hi HN — I built Superexpert.AI, an open‑source platform that lets you spin up multi‑task AI agents in minutes without writing any code (and lets you extend everything later). What it does - Plug‑and‑play agents – Create agents from a web form. Each agent can contain multiple tasks, and each task can run a different AI model, use its own tools, and follow custom instructions. - First‑class extensibility – Register a TypeScript function with registerServerTool, registerClientTool, or registerContextTool to add new functionality. If you want to share it, publish it as an NPM package and…
2025 · superexpert.ai · its alternatives →
- 6
Most RAG setups fail because they treat memory like a static filing cabinet. When every transient bug fix or abandoned rule is stored forever, the context window eventually chokes on noise, spiking token costs and degrading the agent's reasoning. This implementation experiments with a biological approach by using the Ebbinghaus forgetting curve to manage context as a living substrate. Memories are assigned a "strength" score where each recall reinforces the data and flattens its decay curve (spaced repetition), while unused data eventually hits a threshold and is pruned. To solve the…
Apr 2026 · github.com · its alternatives →
- 7
- 8
Hi HN, we built SuperHQ, an open source app that runs AI coding agents in isolated microVM sandboxes instead of directly on your machine. Each agent gets its own VM with a full Debian environment. You mount your projects in, writes go to a tmpfs overlay so your host is never touched, and you get a diff view to accept or discard changes. API keys never enter the sandbox. We also just launched remote.superhq.ai which acts as a remote control for SuperHQ, allowing you to access your workspaces and agents from anywhere.
Apr 2026 · github.com · its alternatives →
- 9
- 10
The page you were looking for doesn
2025 · superglue.ai · its alternatives →
- 11
Give AI agents long-term memory. Not vector search or RAG
Dec 2025 · github.com · its alternatives →
- 12
OpenInfer▲19Keep your OpenClaw agents running. Free beta, no code change
Apr 2026 · openinfer.io · its alternatives →
- 13
The "Lie Detector" API for RAG & AI Agents
Dec 2025 · agentaudit-dashboard.vercel.app · its alternatives →
- 14
Stop AI hallucinations by fixing your repo in one command.
Apr 2026 · agentlint.app · its alternatives →
- 15
The TLS for autonomous agent state.
Jul 2026 · memora.optitransfer.ch · its alternatives →
- 16
Gitmem▲1Cut the hallucinations. Keep the context. Save 37% tokens.
Mar 2026 · themanhattanproject.ai · its alternatives →
- 17
Memory for AI agents that can't hallucinate
Jun 2026 · github.com · its alternatives →
- 18
Real, framework-free AI support agent where SynapCores is the brain — memory, RAG, tool routing, generation in one database. Browser chat widget + live Brain debug sidebar. Fork and run in 30s. - SynapCores/synapcores-agent
May 2026 · github.com · its alternatives →
- 19
Hey HN! I'm Arindam, part of the team behind Memori (https://memori.gibsonai.com/). Memori adds a stateful memory engine to AI agents, enabling them to stay consistent, recall past work, and improve over time. With Memori, agents don’t lose track of multi-step workflows, repeat tool calls, or forget user preferences. Instead, they build up human-like memory that makes them more reliable and efficient across sessions. We’ve also put together demo apps (a personal diary assistant, a research agent, and a travel planner) so you can see memory in action. Current LLMs are stateless…
2025 · github.com · its alternatives →
- 20
An agent that remembers across sessions can keep its memory as curated markdown files, as an auto-mined structured store, or as trained experience.
Aug 2026 · pinglin.tw · its alternatives →
- 21
Open Source Context Infrastructure for AI Agents
May 2026 · ravbyte-ai.github.io · its alternatives →
- 22
Open-source MCP server. #5 on LoCoMo. 100% local. MIT.
May 2026 · totalmemory.dev · its alternatives →
- 23
Love OpenClaw? Now ship it to production. Built in Rust.
Feb 2026 · github.com · its alternatives →
- 24
WarpHaze▲14Stop AI hallucinations and verify your AI-generated text
2025 · warphaze.com · its alternatives →
Also compare
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 →