nowfound

AI · May 30, 2026

aictx

Stop onboarding AI coding agents like rookies every session

aictx launched on May 30, 2026 with 4 votes, #2,419 of 20,538 launches that month and more than 75% of that year's launches.

Visit aictx.org ↗aictx alternativestop 12% of May 2026

What it does

AICTX is an opensource repo-local continuity layer for AI coding agents. It helps Codex, Claude Code, GitHub Copilot and other agents resume from what actually happened: active work, decisions, failures, handoffs, validation evidence and next actions. It works through CLI and local MCP, with inspectable state stored inside the repo.

AICTX gives coding agents repo-local continuity: what happened, what failed, what changed, and where the next session should start. Works through CLI, local MCP, and generated agent instructions.

AICTX helps Codex, Claude, GitHub Copilot and other coding agents continue work across sessions and across tools by preserving the last useful execution state: active work, next actions, decisions, failures, validation evidence, repo context and quality signals for stale or unverified continuity. pip install aictx aictx install aictx init # Then keep using your coding agent. # Supported agents are instructed to: # resume context → work → finalize continuity Start from what actually happened. Current continuity Current goal, hypothesis, relevant files, risks, next action and verification state. Project decisions and what the previous session left for the next one. Known failed commands,…from aictx.org

Does a similar job

all alternatives →
  • opencode2025 · opencode.ai · ▲393

    Your terminal's AI agent, with any model you want

  • AgentConnectAug 2026 · agentconnect.md · ▲145

    Tag any agent, wherever work happens.

  • Cosine CLI2025 · cosine.sh · ▲334

    AI pair programming directly in your terminal

  • SkillkitFeb 2026 · agenstskills.com · ▲252

    It's an open-source project that lets you create, translate, and work with multiple agents at the same time, and more.

  • Git for AI AgentsMay 2026 · github.com · ▲129

    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…

  • prjct/cli2025 · prjct.app · ▲95

    Change machines or agents. Keep your project's memory.

More ai this month

the category →
  • Video model that turns script into viral social media videos

    AI · 19d ago · spira.ai

  • The browser where Claude Code and Codex work beside you

    AI · 19d ago · rill.love

  • Kolibri is Aleph Alpha

    AI · 21d ago · tej.as

  • Paintings by AI models: programs run through a simulation of oil paint.

    AI · 22d ago · stillwet.art

  • Beam.win▲378

    Run AI agents on one Mac and use its windows on another

    AI · 6d ago · beam.win

  • Route requests to the right LLM for cost, latency & quality

    AI · 24d ago · fastrouter.ai

Source: Product Hunt launch ↗

Launched alongside, May 2026

the whole month →
  • Brew ▲900

    Like Claude design for email marketing

    AI · May 2026 · brew.new

  • Parallel agents, diff reviewer, and multi-model comparisons

    Dev tools · May 2026 · kilo.ai

  • StoreClaw▲806

    Grow your store profits with agents that know how to sell

    AI · May 2026 · storeclaw.ai

  • Give your agent a real number and voice to make calls.

    AI · May 2026 · pollyreach.ai

  • Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

    Life & fun · May 2026 · github.com

  • 🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md

    Dev tools · May 2026 · github.com