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autocontext | self-improving agent loops
autocontext is an open-source evaluation harness that helps AI agents improve across runs by scoring work, preserving knowledge, and reusing what succeeds.
|
80 % |
|
PromptVault | Production-ready prompt templates
An open library of practical, model-agnostic prompt templates with a live prompt workbench.
|
80 % |
|
Spec-Driven Development for real codebases | SpecD
SpecD compiles agent context, analyzes code impact, and keeps design, review, and verification attached to each change.
|
79 % |
|
Kagex — Security Beyond Dimensions
The security reputation layer for smart contracts. Continuous AI analysis on every pull request, distilled into one score protocols publish and users trust.
|
79 % |
|
Speqq — The knowledge system for agentic software development
Speqq is the context engine for spec-driven software development: builders, teams, and agents write specs together on a shared knowledge graph of your codeba...
|
78 % |
|
vuesion - flexible, scalable, opinionated, fast
The most complete boilerplate for production-ready PWAs. With focus on performance, development speed, and best practices
|
78 % |
|
promptbook · storybook for prompts
System prompts as a folder of small plain files you can see — browse every assembled variant, flip context, trace every decision. Deterministic resolve(), ze...
|
78 % |
|
run any ai model with one api | inference shell
everything your agent needs. run any model, compose agents, stack knowledge. skills, tools, and memory in one platform that compounds with use.
|
78 % |
|
Trueflow — Semantic code review that keeps you in flow.
Trueflow turns existing code, repositories, and diffs into semantic review blocks for content-based review and diff review with less hunk noise.
|
78 % |
|
Leonata | Secure Knowledge Graphs | No token cost
Leonata component in AI automation workflow. Knowledge Graph Builder. Build accurate semantic networks. use offline, avoid hallucinations, outperform RAG. Ch...
|
78 % |
|
RRK Technologies — Trust your code before you ship it
RRK Technologies builds production-grade systems that turn noise into signal. Flagship: RRK Verify, a deterministic QA trust layer for AI-written code. Every...
|
78 % |
|
Cliplin — Feature-Centric Spec-Driven Development
Feature-centric specification-driven development framework for the AI era. Four pillars, knowledge system, and Context management MCP so code follows specs.
|
78 % |
|
QA Decoded — Learn SQA, Software Testing & QA Engineering
QA Decoded is a free SQA learning platform for software testers and QA engineers. Learn software quality assurance from scratch — with real-world examples, i...
|
78 % |
|
Platarc — Enterprise Platform Intelligence
Map the invisible wires connecting your stack. See how your platforms actually talk to each other — every object, automation, and dependency, live.
|
78 % |
|
RepoBuddy — AI assistant for understanding codebases via knowledge graphs
RepoBuddy indexes a Git repository into a hybrid knowledge graph (AST + LLM annotations + git history) and answers questions in plain language with cited sou...
|
78 % |
|
Introduction - SpexCode
Spec-driven orchestration for your coding agents.
|
78 % |
|
Assembly — ground your coding agent in your design system
A self-hostable knowledge server that turns any design-system corpus into queryable knowledge for coding agents — hybrid vector + full-text retrieval over MC...
|
78 % |
|
Rinkata: build what you meant to build, with agents that stay on track
Rinkata Hub UI is where your team and your AI agents share one source of truth: goals, specs, decisions, and completion evidence.
|
78 % |
|
Code Prompt Builder
Free code prompt builder. Turn a short spec into a high quality AI coding prompt using 2026 best practices. No signup, runs entirely in your browser.
|
78 % |
|
Contextifly: Give your AI a memory of your codebase
A persistent context engine for AI coding assistants. Contextifly compiles your React, NestJS and Flutter code into a live, deterministic knowledge graph. 10...
|
78 % |
Detected social media networks