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Integrations Open-Core ​

Intutic supports 43 AI agent harnesses out of the box. Run intutic init in your project and the CLI detects which agents are present and records them; intutic gates install then writes each one's gate and rules file from your local SOPs, and intutic start keeps them current as the SOPs change.

bash
intutic init
#   ✔ cursor → /path/to/project/.cursor/rules/intutic-governance.mdc
#   ✔ claude-code → /path/to/project/.claude/rules/intutic-governance.md
#   ✔ antigravity → /path/to/project/GEMINI.md
#   ○ windsurf (not detected)
#   …

Each path is where that harness's rule sets are written: by intutic gates install (or intutic init when you accept the gates) with no login, and by intutic connect with one. intutic init without the gates writes none of them.

Every harness connects through the same governance pipeline — proxy interception, SOP evaluation, and real-time enforcement — regardless of the underlying agent.


IDE Extensions ​

Code editors with built-in AI that read project-level config files.

HarnessDescriptionRule sets go to
CursorAI-powered code editor by Anysphere.cursor/rules/intutic-governance.mdc
WindsurfAI-native code editor by Codeium.windsurf/rules/intutic-governance.md
ClineVS Code extension for autonomous agentic coding.clinerules/intutic-governance.md
Roo CodeAI-powered VS Code extension (formerly Roo Cline)AGENTS.md (section)
ContinueOpen-source autopilot for VS Code and JetBrains.continue/rules/intutic-governance.md

CLI Tools ​

Terminal-based agents that accept proxy environment variables or config files.

HarnessDescriptionRule sets go to
Claude CodeAnthropic's agentic coding tool.claude/rules/intutic-governance.md
AiderAI pair programming CLI.intutic/aider-sops.md, listed under read: in .aider.conf.yml
CodexOpenAI's autonomous coding agentAGENTS.md (section)
Antigravity and Gemini CLIGoogle Antigravity (app, IDE, CLI) and Gemini CLIGEMINI.md (section)
Grok BuildxAI's terminal coding agentAGENTS.md (section)
OpenCodeOpen-source terminal coding agent (opencode-ai 1.x, @opencode/cli 2.x); gated by a plugin loaded into its own processAGENTS.md (section)
Muse CodeMeta's beta terminal coding agent (model Muse Spark)AGENTS.md (section)
dsh PreviewDeepSeek's plugin-first ("Cordis") coding agent (developer preview)AGENTS.md (section)

Agent Frameworks ​

Autonomous coding agents that run multi-step tasks with tool use.

HarnessDescriptionRule sets go to
LangGraphLangChain's graph-based agent frameworkNo instructions file (SDK framework; the SDK gate applies)
LangChainLangChain v1.x agents (AgentMiddleware)No instructions file (SDK framework; the SDK gate applies)
CrewAIMulti-agent orchestration frameworkNo instructions file (SDK framework; the SDK gate applies)
Google ADKGoogle's Agent Development KitNo instructions file (SDK framework; the SDK gate applies)
OpenAI Agents SDKOpenAI's Python agents SDKNo instructions file (SDK framework; the SDK gate applies)
AutoGenMicrosoft's multi-agent conversation frameworkNo instructions file (SDK framework; the SDK gate applies)
AG2CrewAI-style fork/continuation of pre-Microsoft AutoGenNo instructions file (SDK framework; the SDK gate applies)
Pydantic AIPydantic's typed agent frameworkNo instructions file (SDK framework; the SDK gate applies)
smolagentsHugging Face's code-executing agent frameworkNo instructions file (SDK framework; the SDK gate applies)
Strands AgentsAWS's open-source agent framework (Bedrock AgentCore default)No instructions file (SDK framework; the SDK gate applies)
Microsoft Agent FrameworkMicrosoft's AutoGen + Semantic Kernel successor (agent-framework)No instructions file (SDK framework; the SDK gate applies)
MastraTypeScript agent frameworkNo instructions file (SDK framework; the SDK gate applies)
Vercel AI SDKVercel's ai package (v6+)No instructions file (SDK framework; the SDK gate applies)
eve PreviewVercel's filesystem-first durable backend agent frameworkNo instructions file (SDK framework; the SDK gate applies)
AI SDK HarnessVercel's @ai-sdk/harness — coding-agent harnesses in Vercel Sandbox microVMsNo instructions file (SDK framework; the SDK gate applies)
AI SDK WorkflowVercel's @ai-sdk/workflow — durable workflow agents on the Workflow DevKitNo instructions file (SDK framework; the SDK gate applies)
TrueForge (embedded)TrueForge agent runtime used as a library in your own processNo instructions file (SDK framework; the SDK gate applies)
TrueForge (server)TrueForge run as its own standalone serverNo instructions file (governed by the TrueForge bridge)
AWS Bedrock AgentCoreAWS's managed hosting environment for the Runtime module — runs your own agent code (any framework) unchangedNo instructions file (your framework's SDK gate applies)
OpenHandsOpen-source AI software developer platform.openhands/microagents/intutic-governance.md
GooseBlock's terminal agent and desktop framework.goosehints (section)
HermesNousResearch's skill-based developer agentAGENTS.md (section)
PiPi coding agent (earendil-works/pi)AGENTS.md (section)
OpenClawDeveloper terminal agentAGENTS.md (section) in OpenClaw's agent workspace

Platforms ​

Web UIs, desktop apps, and collaboration tools that host AI agents.

HarnessDescriptionRule sets go to
n8nWorkflow automation platformNo instructions file (the workflow gate applies)
Open WebUIWeb interface for LLMsNo instructions file (system prompts live in Open WebUI's settings)
Claude DesktopAnthropic's desktop applicationNo instructions file (instructions live in the app's projects)
GitHub CopilotGitHub's AI pair programmer.github/copilot-instructions.md (section)
XirpSpotify's macOS orchestrator for parallel Claude Code/Codex/Gemini CLI sessions, each in its own tmux session + git worktreeNo instructions file (the harnesses it runs read their own)
Agentic OrchestratorDoorDash's open-source (Apache-2.0) desktop app + CLI (agentico) for multi-phase feature workflows across Claude Code/Codex/OpenCode, each in its own git worktreeNo instructions file (Claude Code, Codex and OpenCode read their own)

Server-Side Platform Integrations ​

Backend platforms that call Intutic directly over HTTP as part of their own contract, rather than being detected and configured by intutic init/intutic connect. No HarnessType enum entry, no CLI harness registration — deployment is a config step against the platform's own settings.

PlatformDescriptionIntegration point
QMYC-backed, OSS multiplayer agent harness (wraps pi/claude/codex/opencode)securityScreen HTTP contract (qm.config.jsonc)
Anthropic Managed AgentsAnthropic-hosted "session" that executes tool calls server-side rather than in your own processSession-confirmation responder (IntuticSessionConfirmer) answering user.tool_confirmation events
AWS Bedrock AgentCore GatewayDeployed AWS resource that forwards MCP tools/call requests to a target — distinct from the Runtime module abovetools/agentcore-interceptor Lambda calling POST /api/v1/integrations/agentcore/gateway-check

Single-Agent & Multi-Agent Support ​

Intutic provides zero-trust governance regardless of your agent architecture:

  • Single-Agent Assistants: Governs individual coding tools (Claude Code, Cursor, Windsurf, Antigravity). Tool calls, file writes, and shell execution are intercepted synchronously before execution by each harness's own hook. Aider has no pre-execution hook, so it is governed at the proxy only.
  • Multi-Agent Swarms & Graphs: Governs multi-agent frameworks (LangGraph, CrewAI, AutoGen, OpenHands, OpenClaw, Hermes). Every node's traffic crosses the same proxy under one session ID, so rules see the whole graph's tool history rather than a single node's turn — which is what makes ordering constraints, cycle-breaking and a shared budget ceiling enforceable across nodes. The request context also carries per-node identity — node_id, agent_role, graph_id, parent_session_id, depth — so rules can target one role or node as well as constrain the graph globally. Identity is client-supplied and unverifiable, so it scopes rules and observability only; authorisation stays bound to the virtual key. See Graph Guardrails.

Because every response byte passes through the proxy before the client sees it, the proxy also enforces the tool deny list on the response path (the response gate, open-core, default-on): a model-emitted tool_calls[] naming a denied tool is withheld before the harness's tool runner ever sees it — harness-agnostic, no client hook required, on both streaming and non-streaming responses (Anthropic, OpenAI chat-completions, and OpenAI Responses wire shapes). It is fail-closed within its scope: inert unless the active role has a non-empty deny list or an enforcing hook-rule guardrail is in force, and within that scope an unparseable non-streaming body is refused rather than forwarded. Two precise limits: on streams the deny list enforces at the tool name level only (arguments arrive as JSON fragments across chunks) — the argument-level rules, the destructive-SQL guard (sql_guard:) and enforcing hook_rule policy guardrails that constrain arguments, hold a tool-call block until its arguments are complete — and it cannot see locally-originated tool calls that never traverse the proxy.


Universal Harness Compatibility & SDKs ​

  • Any Custom Harness: Direct any custom agent or LLM client to the local Intutic proxy port (:4000):
    bash
    export ANTHROPIC_BASE_URL="http://localhost:4000"     # Anthropic SDKs append /v1/messages
    export OPENAI_BASE_URL="http://localhost:4000/v1"      # OpenAI SDKs append /chat/completions
  • Zero-Code Proxying: No SDK modification required inside your agent codebase — Intutic operates transparently at the network/proxy layer.
  • WASM Rules SDK: Write custom policy rules in AssemblyScript and compile them into hot-path proxy filters. The SDK is a template, not an npm package: copy it from packages/wasm-sdk/ in the open-core repository. See Custom Filters (WASM Rules Engine).

Additional Integrations ​

IntegrationDescription
Standalone ProxyRoute any LLM traffic through your own proxy without a harness adapter — works with any OpenAI-compatible client
Kitkat Agent Custom SkillPre-built governance skill for agents that support custom skill files (.agents/skills/intutic-governance-kitkat/SKILL.md)

How it works ​

All harnesses share the same integration flow:

┌──────────────┐     ┌─────────────┐     ┌──────────────┐
│  intutic     │────▶│  Detect     │────▶│  Record in   │
│  init        │     │  harnesses  │     │  config.json │
└──────────────┘     └─────────────┘     └──────┬───────┘
                                                │
┌──────────────┐     ┌─────────────┐     ┌──────▼───────┐     ┌────────────────┐
│  Evaluate    │◀────│  Write      │◀────│  intutic     │◀────│ .intutic/sops/ │
│  + enforce   │     │  harness    │     │  gates       │     └────────────────┘
│  each call   │     │  config     │     │  install     │
└──────────────┘     └─────────────┘     │  (intutic    │
                                         │  start: on   │
                                         │  each change)│
                                         └──────────────┘
  1. intutic init scans your workspace, detects the harnesses present and records them in ~/.intutic/config.json. With no login it offers to run the next step for you.
  2. intutic gates install writes each recorded harness's gate and rules file in its native format, from this machine alone; on a machine with a login, intutic connect writes them instead and keeps them in sync with the control plane (see What writes harness files).
  3. Every tool call goes through the harness's own gate where it has one, and its LLM traffic through the proxy when it is routed there, for real-time policy evaluation.

intutic start runs the proxy with no account or control plane. Point each harness at it as its page describes, run intutic gates install --route, or launch the harness with intutic exec.

What writes harness files ​

Two commands write harness files, and a machine uses one of them: intutic gates install with no login, intutic connect with one. Both run the same writers, for every harness recorded in ~/.intutic/config.json, and install each harness's gate whether or not any SOP targets it: the gate enforces the built-in protections and the destructive-command tier, none of which needs an SOP. The harness's rules file (Where rule sets go lists each one) is written when at least one SOP targets that harness: any local SOP under .intutic/sops/ targets every recorded harness, and with connect, so does a synced SOP whose targets include it.

What each one compiles into the policy snapshot every gate reads:

intutic gates installintutic connect
Built-in protections, destructive-command and skill tiersYesYes
review_before: tokens and closed_lanes: lane holds from .intutic/sops/Refused outright: with no control plane, nothing could approve a holdHeld for approval
Rule records from .intutic/sops/ (qualified requires_before:, scope_paths: under scope_paths_mode: enforce, plan_approval:)Yes; plan_approval: refuses every gated call that is not a read, since no plan can be approvedYes
decide: rulesFrom .intutic/sops/, with the pins intutic decide eval wroteFrom the control plane only
Workspace policy (BLOCK: SOPs, guardrails, MCP allowlist and registry, group rules)NoYes
Proxy routing for each harness (base URLs, proxy settings)Only with --routeYes
Kept in syncRe-run it after editing .intutic/sops/, or keep intutic start running, which refreshes the gates when they changeOn every config sync

Routing is written only by intutic connect or intutic gates install --route, because a harness pointed at a proxy that is not running cannot reach its model.

intutic disconnect undoes either one: every file goes back the way it was, and the gates, rules files and snapshot are removed.

To govern a harness intutic init did not detect, run intutic gates install --harness <id> --add (the id is the harness type, e.g. codex); with a login, add the id to the harnesses list in ~/.intutic/config.json and restart intutic connect.

Files the user also edits — settings.json, hooks.json, config.toml, config.yaml, .aider.conf.yml — are merged: only the Intutic keys or entries are added or replaced, and a file that does not parse is left untouched and reported in the command's output (the intutic connect log, for connect). In AGENTS.md, GEMINI.md, .github/copilot-instructions.md and .goosehints, only the section between the INTUTIC:RULES markers is written.

Each adapter uses atomic writes (write to temp file, then rename) to prevent config corruption during sync.

For the technical details of each config format (markdown, YAML, JSON, TOML, env), see the Integration Overview.

The circuit breaker for AI agents