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Lean Agent Kit
Give AI coding agents persistent project context, conventions, and learnings. Free, open source, and tool-agnostic.
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84 % |
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agents.cli
A publication on context engineering, closing the gap between AI coding agents and the context they don't have.
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83 % |
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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.
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83 % |
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2context.dev · A file-based knowledge graph for coding agents
2context extracts decisions, conventions, and patterns from your git history and writes them as Markdown files coding agents like Claude Code read directly....
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83 % |
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logmind — infinite context for every agent you ever hire
Capture AI decisions while you work. Every new agent gets the full why-behind-the-code in one read. AGENTS.md canonical, link integrity on every PR, project...
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83 % |
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Convo-Lang
Convo-Lang is an open source, AI-native language and runtime for prompts, tools, agents, and LLM workflows in plain text.
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82 % |
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Zerix - Context Middle Layer for LLMs
Compress what is safe. Preserve what cannot break. Zerix prepares context, forwards to your downstream LLM, and returns a metrics receipt.
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82 % |
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Tages — Shared memory for AI coding agents
Your team's agents forget between sessions. Tages gives them shared, persistent memory about your codebase — installed with one command, with semantic search...
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82 % |
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Tages — Shared memory for AI coding agents
Your team's agents forget between sessions. Tages gives them shared, persistent memory about your codebase — installed with one command, with semantic search...
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82 % |
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Tages — Shared memory for AI coding agents
Your team's agents forget between sessions. Tages gives them shared, persistent memory about your codebase — installed with one command, with semantic search...
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82 % |
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Home — Jounes
I orchestrate AI agents to ship measurable products. Shipped artifacts and a documented operating discipline.
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82 % |
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Mermaid Engine — Logic maps for AI agents
Mermaid Engine compiles design diagrams into operational trust contracts for AI agents: source-grounded design graphs with drift detection that fails closed...
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82 % |
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Context Workdesk — quality code at AI speed. Every time.
Context Workdesk — quality code at AI speed. Every time. Context Inheritance briefs the AI on your whole project, turning sparse outlines into verified, self...
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82 % |
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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.
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82 % |
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agora | The Context Layer for Software Engineering
AI can generate code. Agora preserves the reasoning, safeguards, and institutional memory behind it for every engineer and agent.
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82 % |
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Frontal Codes — Ship software by describing it
Local-first, no-code AI agent orchestration. Describe your goal in plain language — Frontal plans it, dispatches coding agents to isolated git worktrees, val...
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82 % |
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Kerniv | AI-Native Hardware Validation & Engineering Intelligence
Kerniv is building an AI engineering platform for electronic hardware validation, automated testing, firmware debugging, and physical-system diagnostics.
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82 % |
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Data, document and test-report tools for AI agents — MarginNook
CSV/JSON aggregation, document paragraph search and JUnit failure extraction through HTTP and MCP. Connect with the public HTTP Quickstart or MCP; inspect bo...
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82 % |
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Code Intelligence & Automation Platform for the AI Era
Codemod gives agents compiler-aware code intelligence for reliable framework upgrades, code migrations, and security fixes.
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81 % |
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Docency — Governed Software Production
Governed code compilation — from documentation to working code. Reactive change cascading, full process transparency, single source of truth for the entire t...
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81 % |
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