Exogram vs Supermemory

Exogram and Supermemory are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

Exogram

Exogram is an execution governance layer that intercepts AI agent actions — payments, database writes, customer emails, record updates — and applies a policy decision before anything hits your infrastructure. The vendor describes a four-way enforcement decision: allow, deny, escalate, or log. Policy rules are checked at runtime, not after the fact, which means a $25,000 invoice approval blocked against a $1,000 limit never reaches your payment system. The immutable audit trail is positioned for SOC 2, HIPAA, and financial compliance workflows. The tool is not itself an agent runner — it assumes you already have an agent; it governs what that agent is allowed to touch.

Supermemory

Supermemory wraps memory, retrieval, user profiling, data connectors, and document extraction into one API so your agent doesn't reassemble context from scratch on every request. The retrieval layer claims sub-300ms latency using hybrid search with reranking, and the memory layer maintains a knowledge graph that merges contradictions and evolves facts over time rather than appending chunks blindly. Connectors to Slack, Notion, Drive, Gmail, GitHub, and S3 sync automatically — no ETL pipeline to maintain. The core memory engine is proprietary and hosted-only; self-hosting requires an enterprise agreement, so teams with strict data residency requirements hit a wall before they ship.

Attribute	Exogram	Supermemory
Pricing	Paid	Paid
Price	—	$0 - $399+/mo
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	SaaS, Cloud	Cloud-hosted (SaaS); MCP server; Browser plugins (Chrome); IDE integrations (Claude Code, Cursor, VS Code)
Released	2025-05	2024
Pros	Runtime policy enforcement at the tool-call boundary, so unauthorized payments and database mutations are blocked before they execute rather than flagged after the damage is done. Four-way enforcement decisions — allow, deny, escalate, log — which means regulated workflows get a human review step without building a custom approval queue on top of your agent stack. Immutable audit logs positioned for SOC 2 and HIPAA compliance, so teams in regulated industries have a defensible record of every action an agent attempted and what decision was returned. Pre-built integrations with LangChain, CrewAI, AutoGen, Vercel AI SDK, and LlamaIndex, so teams already running these frameworks add a governance layer without rewriting their agent code. An open protocol spec (EAAP) published as RFC-0001, so teams who need to audit, extend, or independently verify the governance model are not working against a black-box contract.	Knowledge graph memory that merges and contradicts facts across sessions, which means your agent doesn't tell a user something they already corrected two conversations ago. Sub-300ms hybrid search with reranking baked into the retrieval layer, so you avoid building and tuning a separate retrieval pipeline to hit production latency targets. Persistent user profiles that carry preference, behavior, and identity context across sessions, which means a support agent or personalized chatbot doesn't reset its understanding of the user on every ticket. Real-time connectors to Slack, Notion, Drive, Gmail, GitHub, and S3 with automatic sync, so your agent's memory reflects live changes in the tools your users actually work in — no manual import jobs to maintain. Multi-format extraction for PDFs, web pages, images, and audio consolidated into one provider, which means you don't wire together separate parsing services before you can ingest mixed document types.
Cons	Exogram governs actions but does not orchestrate agents — teams that need branching logic, memory, or coordination between multiple agents still maintain a separate orchestration layer, which means adding Exogram adds a second system to debug when an escalation fires unexpectedly. No self-hosted deployment option is described on the vendor page, which means teams whose compliance requirements mandate on-premises data residency — common in financial services and healthcare — cannot use Exogram without routing agent traffic through external infrastructure; those teams move to building policy enforcement into their own API gateway instead. The tool launched in approximately May 2025, so production case studies at scale are not yet publicly available; teams evaluating for high-volume payment workflows are working from architecture documentation and demos rather than documented incident records from comparable deployments.	The core memory engine is not self-hostable without an enterprise agreement — teams with data residency requirements or strict policies against sending user memory to a third-party managed service cannot deploy this in production without negotiating a contract first, and most either wait on procurement or replace the memory layer with a self-managed vector store. The knowledge graph and memory update logic are proprietary and closed; when retrieval behaves unexpectedly — returning stale facts or failing to surface a contradiction — there is no source code to inspect. Teams debugging production retrieval issues work from API responses and vendor support, not from the system itself. The free tier is capped at defined token and query limits, meaning a team validating the tool at scale will exhaust the free tier before they have enough production data to make a confident architecture decision — at which point cost exposure begins before the build is complete. Agent frameworks that manage their own memory or context windows require explicit integration work to hand off to Supermemory rather than their native store; teams already deep in a framework with memory primitives — LangGraph, for example — often find the integration layer adds complexity that exceeds the benefit for their specific architecture and abandon Supermemory in favor of the framework's native memory tooling.

Bottom line

Supermemory is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Exogram and Supermemory?

Exogram is Paid, while Supermemory is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Exogram better than Supermemory?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.