Execlave

Execlave

Execlave is an AI Agent Governance & Enforcement Platform (runtime AMP) that enforces policies, captures immutable audit trails, and provides real-time governance for autonomous AI agents, offered as managed cloud or self-hosted deployments.

Execlave is ai tools software teams evaluate for ai agents. Use this page to review pricing, integration signals, and the best alternatives before you commit.

Freemium API Enterprise 80/100
#560 in AI Agents (560 tools)
Added 1 month ago
Data reviewed Aug 13, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: AI Agents

What it does

AI Tools software for decision-makers comparing workflow fit and alternatives.

Best fit

AI Agents

Pricing snapshot

Freemium from Not listed (site notes a free tier available for managed cloud)

Next step

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Execlave

Execlave provides an enforcement layer that sits between AI agents and the real world to ensure agents cannot take actions the organization has not explicitly allowed, while producing cryptographically verifiable audit evidence. It is positioned as a runtime gate that evaluates every agent action against policies in milliseconds, records signed audit entries, and offers mechanisms such as human approval flows and an emergency kill switch.

The product targets organizations running autonomous agents and teams responsible for security, platform, and compliance; it supports both managed cloud and self-hosted deployments and advertises quick onboarding with developer SDKs for TypeScript and Python.

The gate between your AI agents and the real world Discussion | Link

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Key Features

Runtime policy enforcement

Every agent action is checked against declared policies before reaching external systems; outcomes include Allowed, Paused (human review), or Blocked, with enforcement measured in milliseconds.

Real-time traces & token-level logs

Structured, searchable traces capture inputs/outputs, model name, token counts, latency percentiles, and cost tracking with session grouping and parent-child span trees.

Kill switch / emergency stop

Server-side kill switch to stop agents per agent or org-wide with measured response under 6 ms.

Compliance-ready reporting

Auto-generated reports and evidence aligned with frameworks such as SOC 2, HIPAA, GDPR, ISO 27001, EU AI Act, PCI DSS, and NIST AI RMF.

Developer SDKs

TypeScript and Python SDKs to instrument agents in three lines of code, capturing actions, tokens, and costs.

Agent lifecycle & governance controls

Agent registry, immutable version history, tiered autonomy governance, permission-drift detection, and eval-to-policy suggestion workflows.

Cost and data controls

Synchronous spend caps (cost circuit breaker) across multiple windows and data-access lineage with auto-classification for PII/PHI/PCI.

Pricing

Free Tier Available

Free tier available for the managed cloud offering; "Free tier. No credit card. Set up in 5 minutes."

Managed Cloud

Not listed (site notes a free tier available for managed cloud)
  • Free tier available
  • SOC 2 Type II
  • Global edge enforcement
  • Managed Postgres + Redis

Self-hosted

Not listed (self-hosting on customer's infra; no managed pricing shown)
  • Docker Compose or Kubernetes deployment
  • Air-gap compatible
  • No customer data leaves your network

Use Cases

Prevent prompt injection and unsafe actions

Intercept and block malicious or unexpected agent behavior (e.g., prompt injection) by enforcing content filters and prompt-injection guards before actions execute.

Compliance and audit evidence

Provide cryptographically signed, immutable audit trails and auto-generated compliance reports for auditors and regulators.

Production governance of autonomous agents

Manage agent autonomy levels, detect drift and shadow agents, and apply policy bundles appropriate to each agent's risk profile.

Cost control and spend safety

Enforce synchronous spend limits and burn-rate alerts to prevent runaway usage and implement cost circuit breakers per org/agent/user.

Integrations

OpenAI

Govern agents that call OpenAI models as part of their toolset.

Anthropic

Support for agents using Anthropic models.

LangChain

Instrumentation and governance for agents built with LangChain.

LlamaIndex

Support for agents that use LlamaIndex for retrieval and indexing.

CrewAI / AutoGen / MCP

Integration/compatibility with additional agent frameworks and orchestration libraries listed on the site.

Python & TypeScript

SDKs and developer tooling for popular languages to instrument agents.

PostgreSQL

Managed Postgres in the managed cloud offering and data isolation via PostgreSQL RLS for tenant separation.

Benefits

Immediate prevention of unauthorized agent actions via a millisecond-scale enforcement gate (p50 enforcement < 20 ms).
Tamper-evident, cryptographically signed audit logs that provide proof of allowed or blocked actions for compliance and audits.
Flexible deployment: managed cloud with a free tier or self-hosted on customer infrastructure (Docker Compose/Kubernetes, air-gap compatible).
Developer-friendly instrumentation with SDKs that enable quick integration and observability (three-line integration).
Comprehensive control plane for managing agent lifecycle, permissions, autonomy tiers, and policy generation.

Limitations

No verified limitations are available.

Frequently Asked Questions

How quickly does enforcement occur?
Execlave measures p50 enforcement at under 20 ms and kill-switch response under 6 ms, enforcing policies synchronously before actions reach external systems.
Can I run Execlave on my own infrastructure?
Yes — Execlave supports self-hosted deployments via Docker Compose or Kubernetes, is air-gap compatible, and claims no customer data leaves your network in self-hosted mode.
How does Execlave help with audits and compliance?
The platform produces cryptographically signed, append-only audit trails and auto-generated reports for frameworks including SOC 2, HIPAA, GDPR, ISO 27001, EU AI Act, PCI DSS, and NIST AI RMF.

Getting Started

  1. 1 Step 1: Instrument your agent with the Execlave SDK ("Add three lines to your agent") to trace actions, tokens, and costs.
  2. 2 Step 2: Declare policies for cost limits, model restrictions, content filtering, and prompt-injection guards via the policy configuration UI or APIs.
  3. 3 Step 3: Deploy with your chosen option (managed cloud or self-hosted), monitor real-time traces, and use the kill switch or approval flows as needed.

Support

Docs

Documentation and references (SDK Reference, API Reference, CLI Reference) available from the product site.

Live demo

In-browser live demo accessible from the site to simulate enforcement and kill-switch actions.

Getting started / Onboarding

Get started links on the site to create a managed cloud workspace or explore self-hosted deployment documentation.

API

Available: Yes
Documentation:

API Reference and SDK Reference linked from the product site (documentation pages accessible from the site navigation).

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