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riglane
riglane — a workflow control plane for AI agents: declared steps, hard gates, provable runs. Runs on the agent host you already use.
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85 % |
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RiskKernel - the risk engine for your AI agents
RiskKernel is an open-source, self-hosted reliability runtime for AI agents: deterministic cost, loop, and time budgets with a kill switch, crash-resumable r...
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83 % |
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Limetry — Stop irreversible agent side effects
Gate agent tool calls before they run: evaluate, deny with reasons, and audit outcomes. MCP, CLI, and SDK for Cursor, Claude, and your frameworks.
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83 % |
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hoop.dev | Runtime controls for AI agents
Data and context make agents useful. hoop.dev makes it safe. Attach a sidecar to a database, cluster, or agent sandbox and get masking, guardrails, and appro...
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82 % |
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Farshad Pasbani
Engineer building ML systems, agentic-AI tooling, and the infrastructure that runs them.
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82 % |
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RakanLabs - Your Friendly Neighbourhood Techies
I build AI systems that run in production and deliver measurable results. Not demos. Not research. Systems you can rely on.
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82 % |
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Gleipnir · Self-hosted AI agent runtime and fleet control
Run AI agents on your own servers and let them work on your Linux fleet, inside limits they can't change: tool grants, approval gates and per-node Policy.
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82 % |
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Fugue Labs: agent runtimes in Go
An AI research lab building production agent runtimes. Gollem: the Go framework with runtime traces you can resume, fork, diff, and use as evidence. Sleepy:...
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82 % |
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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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82 % |
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Lynx — policy-gated, durable, audited execution for AI agent tool calls
Lynx is a stateless, type-safe Python policy kernel for AI agent tool calls. Every action gets a five-verdict policy check (allow / deny / dry_run / approve_...
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82 % |
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Modonome - Guardrails for AI coding agents in CI
Governance and guardrails for AI coding agents: an off-by-default engineering loop with separate maker, checker, and merge roles, CI gate-integrity checks th...
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82 % |
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Exponential — The Engineering System for Human-AI Teams
Exponential (xpo) is a git-native issue tracker with agentic workflows, automated execution, and human-readable review. Kanban board for humans, MCP server a...
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82 % |
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WeaveFlow | Build inspectable agent workflows in Go
WeaveFlow is a graph runtime written in Go for building, executing, and inspecting LLM agent workflows.
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82 % |
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AiOverload — governed execution for AI agent fleets
Governed execution for AI agent fleets: an event-sourced run log, default-deny tool boundaries, per-run credentials, every decision replayable. Self-hosted,...
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82 % |
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Strait - Open Source Job Orchestration
Strait is an open-source job orchestration platform for background jobs, workflows, and AI agents. Queue, orchestrate, and observe every async workload from...
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81 % |
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Network-AI | Multi-Agent Orchestration for Production Systems
Network-AI is a TypeScript/Node.js multi-agent orchestration layer with shared-state locking, permission gating, audit trails, FSM governance, and 32 framewo...
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81 % |
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AgentWard — Secure every agent action, from install to runtime
Secure every agent action — from install to runtime. Source-available security platform for AI agents. Scan, enforce, detect, comply.
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81 % |
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AgentZero — Secure AI agent runtime
Policy-controlled, audited, encrypted tool execution for local AI workflows.
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81 % |
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Tandem | Governance runtime for AI agents
AI agent authority runtime for risk-tiered actions, human-in-the-loop approvals, scoped MCP tools, durable pause and resume, and protected audit evidence.
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81 % |
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KruxOS — The operating system for AI agents
KruxOS is a purpose-built operating system for AI agents. Agents call typed capabilities through a deterministic policy gate. Humans supervise via a web dash...
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81 % |
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