MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
Local-first pointer registry for policies, rules, and decisions using cryptographic SHA-256 source references
PythonMIT★ 1Few starsNo key
Runtime security platform for LLM agent tool calls on Kubernetes
PythonApache-2.0★ 26No key
An authenticated, policy-bounded Discord control plane for MCP-compatible agents.
PythonMITFew starsNo key
Local-first AI daemon for Logseq OG: background semantic indexing, link hygiene, and agent-ready CLI/MCP — edits Markdown on disk (no cloud, no Logseq API). Karpathy LLM-Wiki inspired.
PythonApache-2.0★ 100No key
Local-first Developer Context Daemon with explicit state, memory, and policy layers.
PythonMIT★ 2Few starsNo key
MCP policy enforcement plane — deterministic policy on every Model Context Protocol call: identity, RFC 8707 audience binding, tool schema digest pinning, full audit trail. Python, self-hosted, MIT.
PythonMIT★ 18No key
Local-first PCB automation for KiCad with safe MCP tools and deterministic autorouting research.
PythonApache-2.0★ 2Few starsNo key
Neutral trust registry for MCP servers — check before you connect
PythonMITFew starsNo key
Windows-first, resource-governed MCP runtime for local developer workstations with durable execution, scoped filesystem access, search, and developer-context backends.
PythonApache-2.0Few starsNo key
Pre-merge and pre-install trust checks for AI-agent skills and MCP configurations. Scan capabilities, detect risky changes, and block unapproved agent behavior in CI.
PythonMIT★ 2Few starsNo key
gVisor-isolated Kubernetes sandbox with an HTTP API, SDK and MCP bridge
PythonMIT★ 1Few starsNo key
橋守 the bridge keeper — a tiny, deterministic rules engine for AI use case governance. Policy in YAML, intake in JSON, decision in milliseconds, with an audit trail.
SkillMIT★ 6No key
The active firewall and execution governance gateway for AI agents. Run Cursor, Claude Code, Cline, and custom agents safely on your infrastructure with OPA/Rego policies, real-time risk scoring, tain
PythonMIT★ 2Few starsNo key
🚪 Governance gate for AI agents. Enforce policies before deployment: request contracts, operational safeguards, identity boundaries, action budgets. CLI tool with YAML config, JSON/text output, CI/CD
PythonMIT★ 4Few starsNo key
An MCP server that lets AI agents operate a multi-cluster Kubernetes fleet through an Open Cluster Management hub, with policy, approval, and audit between the model and your clusters.
PythonApache-2.0★ 17No key
Production-ready MCP server with HTTP API that gives AI agents secure, audited access to Docker, file systems, and notifications. Zero-config container startup, graceful degradation, and enterprise-gr
PythonMIT★ 1Few starsNo key
Open-source security gateway for MCP agents and tools. Inspect tool calls before execution, enforce policy, block risky operations, and emit audit-ready evidence.
PythonMIT★ 13No key
Quota-aware runtime policy for Codex — plan, checkpoint, re-plan and safely land long-running tasks around usage limits.
SkillMIT★ 5No key
Open-source antivirus for AI agents: block risky tools, secret access, prompt injection, malicious packages, MCP servers, plugins, and skills at runtime.
PythonApache-2.0★ 959No key
Local admission gate for software agents. Rust, HTTP and stdio MCP integrations with policy, operator revocation and structured evidence.
PythonApache-2.0★ 4Few starsNo key
The agent framework where the model never holds the trigger — every consequential action clears your policy first, waits for a human when it matters, and lands on a record you can verify. Build on it,
PythonApache-2.0★ 1Few starsNo key
Config-driven automation for semantic versioning, conventional commits, and changelogs across Python, Node, Rust, and Go via CLI, GitHub Actions, and pre-commit hooks.
PythonMIT★ 1Few starsNo key
The first open-source effort estimation tool built for AI coding agents. PERT + METR + wave planning.
SkillApache-2.0★ 6No key
OSCAL-governed guardrails for Agent Skills — dual-evidence admission (static scan + local LLM rubric judge), digest integrity, and OSCAL assessment-results audit trail for LangGraph DeepAgents
SkillApache-2.0★ 1Few starsNo key
Who stands behind it
