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Laminar - Open-source observability for AI agents
Open-source platform to trace, evaluate, and debug AI agents. Laminar surfaces agent failures, and helps you fix them.
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84 % |
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Hog · Your coding agent has no idea why.
An MCP server that feeds Claude Code and Codex the real product context (Linear, Slack, notes, incidents) before they write a line, so your agent builds on w...
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84 % |
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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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84 % |
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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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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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84 % |
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Metatron — your codebase's conventions, versioned in git and consulted by AI agents
Metatron captures your team's real implementation decisions as versioned markdown in git, consulted by AI coding agents and curated through PR review — with...
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83 % |
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Domscribe — Give your AI coding agent eyes on the frontend
Click a DOM element to tell your agent what to change, or let it query any source location to see the live result. Build-time stable IDs, deep runtime contex...
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83 % |
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ctxpipe | The AI Engineering context layer for agents
The AI Engineering context layer for agents. A pair programmer for your agents that knows your platform and shows them how things are done. Self-learning kno...
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83 % |
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swiz — hooks for AI coding agents
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83 % |
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Bullseye — the org-wide intent layer for AI-assisted engineering
Bullseye captures the why behind your org's decisions — including what you tried and rejected — and serves it as living context to your coding agents. So the...
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83 % |
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agentctx | The Context Layer for AI Coding Agents
Open source. Local-first. Persistent understanding that scales with your codebase.
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83 % |
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VisvoAI — The Python toolkit for building AI agents
One interface to any model, an agent loop done right, and a full coding agent built on both — proof it holds up. Open source, MIT licensed.
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83 % |
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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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83 % |
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Kortecx: Engineering Intelligence
Bring your ideas to life with AI. Kortecx turns them into apps and automations that keep getting better, from one person to the enterprise. Built in India.
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82 % |
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FlockRun — The Runtime for AI Agent Teams | TypeScript
The runtime for AI agent teams. Deploy agents that wake on schedule, message each other, share knowledge, and coordinate autonomously. Built in TypeScript. P...
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82 % |
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basemind | basemind
The context and communication layer for coding agents. A pure-Rust code map, document RAG, git intelligence, shared memory, and agent-to-agent comms — served...
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82 % |
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Allbase — shared memory for every AI agent
Allbase your project. Keep decisions, files, skills, and next steps ready for your agents, and share selected knowledge with your team.
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82 % |
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Spruce — Ship software without losing context
A native desktop app for planning, code, and review. Each feature, bug, and task lives in your repo as plain markdown. Parallelize your work. Use any CLI agent.
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82 % |
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Dunetrace | Runtime reliability for AI agents
Dunetrace catches AI agent failures at runtime, alerts on Slack, finds the root cause, and fixes them. Structural and semantic detection, runtime prevention,...
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82 % |
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Nitejar — Your agents work the night shift
Self-hosted AI agent control center. Create agents, connect channels, watch them work. Every action traceable, every cost visible.
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82 % |
Detected social media networks