nowfound

Alternatives

Products that do what Actualis does

Read what your coding agent actually did on your machine

  1. 1
    Replicas239

    Run Claude Code and Codex in the cloud

    Jun 2026 · replicas.dev

  2. 2
    Skilled76

    Dashboard to find agent skills you no longer need

    May 2026

  3. 3

    The CLI your coding agent uses to ship agents

    Jul 2026 · github.com

  4. 4

    Give your AI coding agent access to open-source code

    Jun 2026 · githits.com

  5. 5

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

    Jul 2026 · agentgrid.sh

  6. 6

    Keep PRs, issues, CI, and docs moving with AI agents

    Jun 2026 · charlielabs.ai

  7. 7

    Give your AI coding agent the web as a command line

    Jun 2026 · npmjs.com

  8. 8CS

    Coding agents don't have long-term memory. But you do have months of full-fidelity agent transcripts stored on your machine. A simple solution that goes a long way: ingest those transcripts and logs into a structured SQLite database, then search them with ranked text match. Everything is fully local and doesn't require anything fancy like a graph database or hosted memory service. This is the idea behind ctx, a Rust CLI that handles the ingestion and searching. We give our agents a skill that tells them to reference past sessions before working in an area. Usually we do this through an…

    Jul 2026 · github.com

  9. 9

    Quality control for your software factory

    Mar 2026

  10. 10
    Expect109

    Let agents test your code in a real browser

    Mar 2026

  11. 11
    aish4

    the terminal your agent can afford to read

    Jul 2026 · yakshithk.github.io

  12. 12

    See why your coding agent looped, drifted, or burned tokens

    Jul 2026 · kamihork.github.io

  13. 13
    ctx4

    Keep your AI coding sessions alive.Never lose context again.

    Jun 2026 · github.com

  14. 14CC

    I’ve found coding agents to be great at 1/ finding everything they need across large codebases using only bash commands (grep, glob, ls, etc.) and 2/ building new things based on their findings (duh). What if, instead of a codebase, the files were all your workplace docs? There was a `Google_Drive` folder, a `Linear` folder, a `Slack` folder, and so on. Over the last week, we put together Craft to test this out. It’s an interface to a coding agent (OpenCode for model flexibility) running on a virtual machine with: 1. your company's complete knowledge base represented as…

    Jan 2026

  15. 15LA

    Lazyagent a simple way to see what your coding agents were actually doing across Claude, Codex, and OpenCode. Once you have more than 1 agent running, its really hard to answer the simple question: what is it doing right now and why? It is a local terminal UI that collects your agents runtime events and shows their activity in one place. You can inspect: - agents and subagents - tool calls - prompts - outputs - status changes Sessions and projects are there to give that activity some context, so it is easier to follow what happened over time and which run belongs to which repo. And make it…

    Apr 2026 · github.com

  16. 16

    Contribute to softcane/agents-workbook development by creating an account on GitHub.

    19d ago · github.com

  17. 17

    Know what your app does — even the parts you didn't write

    28d ago · eriksenlabs.com

  18. 18

    Claude Code, Codex, and OpenCode in one Windows workspace

    6d ago

  19. 19
    Sonar5

    Understand Any Codebase, Explained for Your Role

    Jun 2026 · github.com

  20. 20

    Usage, cost, and behavior tracking for AI coding agents

    Jul 2026 · tokenbasehq.com

  21. 21

    Ask any line of code why it exists, and get receipts

    14d ago · pruve.dev

  22. 22

    See what your AI coding agents think, cost and do

    Jul 2026 · tokentelemetry.com

  23. 23
    Sofos11

    Claude Code, reimagined as a workspace for business teams

    Jul 2026 · sofos.co

  24. 241D

    We just open-sourced the internal system we built at Assembled for running coding agents as a team. Coding agents worked well for individual engineers, but the surrounding workflow was a bit of a mess. We generally found that many engineers had different MCP connections and context for their agents, personal automations running that other people couldn’t access, and very little introspection for what a human’s input into the coding agent looked like. So we built an internal system that converted coding agents into shared team infrastructure. The system runs Codex, Claude Code, OpenCode, and…

    Jun 2026

Ranked by how close each launch is in meaning, then by votes. Refine with a description →