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CodexBash: practise data structures and algorithms
Practise data structures and algorithms in C, C++, Java and Python. Every submission is judged against real test cases, with the time and memory it took.
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82 % |
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Hunch — A shared record for AI agents
Keep decisions, completed work, and commitments available to AI agents, with their sources. Git-native engineering memory and a self-hosted state server.
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82 % |
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Common Sense Engine — Catch the helpful mistake before it ships
Your agent doesn't need a lecture. It needs a memory of the last time 'helpful' cost real money — checked in under 100ms, before the tool runs.
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81 % |
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Common Sense Engine — Catch the helpful mistake before it ships
Your agent doesn't need a lecture. It needs a memory of the last time 'helpful' cost real money — checked in under 100ms, before the tool runs.
|
81 % |
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Collaborator — AI that remembers what your team decided · hexFoundry
|
80 % |
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Teen Study System & GCSE Exam Technique
Turn existing effort into marks with our teen study system. We build independent study habits without adding live tutoring hours. Explore the system.
|
80 % |
|
RELAI — The continual learning engine for agents
Continual learning platform for AI agents. Turn failures and feedback into replayable environments that optimize agent performance without regressions.
|
80 % |
|
Automatic Optimization Layer for AI Agents | MEGA Code
Auto-optimizes your whole agent workflow, prompts, tools, code, and orchestration, and proves every fix by execution before it ships. Model-agnostic.
|
80 % |
|
algotutor — AI-powered training for Go developers
A personal tutor for accelerated learning, for Go developers. Sub-problems when you're stuck, review cards from every mistake, re-solves over months, a conce...
|
80 % |
|
MemoSprout — Correct once. Improve every interaction.
MemoSprout stores corrections to AI answers as files — approved before use, and dropped when the source they came from changes. Open source, runs on your inf...
|
80 % |
|
KeepCTX — keep your AI context
Keep one context. Every session, every AI, every teammate. One file in your repo where your AI writes down what it learns and reads it back every session. Op...
|
80 % |
|
e-xo — the knowledge graph that maintains itself
A personal knowledge graph for your AI tools. It builds itself from your work, consolidates while you sleep, and gets stronger where it's used. Local-first.
|
79 % |
|
FleetManifest — Correction Memory for AI Coding Agents
Capture corrections to Claude Code, Cursor and Copilot, compile recurring defects into versioned rules, and measure whether each rule actually stops the mist...
|
79 % |
|
Failproof AI - End-to-End Failure Layer for AI Agents
the end-to-end failure layer for teams building ai agents. observe every run, find where agents fail, write a policy that stops it, and enforce it in realtim...
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79 % |
|
flowgate — Guardrails for AI coding agents that actually hold
Your AI coding agent deployed before tests and approved before review, and a longer prompt didn't fix it. flowgate puts agents on a state machine they can't...
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79 % |
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MacBrain.ai — why this exists
Why MacBrain is built the way it is, told through the three times it went wrong: a nag that trained its reader to ignore it, a detector switched off, and a g...
|
79 % |
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Attempted AI — What AI builders tried. What happened. What they learned.
A shared record of what AI teams actually tried — what worked, what didn't, and why. Attempted AI makes those lessons reusable.
|
79 % |
|
Faseeh Ansari
|
79 % |
|
Nonlinearity — anything that can improve itself stops being linear
Recursive self-improvement is not only a story about AI agents. Anything in a computer, and now anything in language, can act on its own output, and that fee...
|
78 % |
|
CS2 AI Coach — Stop Guessing. Start Improving.
Your personal CS2 AI Coach finds what's holding you back, explains why you're losing rounds, and builds a training path to your next rank. Free for 2 demos a...
|
78 % |
Detected social media networks