Beacon vs Tenure

Beacon and Tenure 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.

Beacon

Beacon is an open-source endpoint telemetry layer that runs locally alongside AI agents, capturing prompts, tool calls, file modifications, and approval workflows before any of that activity disappears into the void. It normalizes that telemetry and forwards it to SIEM platforms like Wazuh, Elastic, or Splunk, so security teams can apply the same detection logic they already run against the rest of the fleet. The architecture is self-hosted by design — no data leaves the endpoint unless you route it there yourself. The project is early-stage; the plugin ecosystem covers the major local agent harnesses but gaps exist for less common runtimes. Teams with agents not yet on the supported list write custom collector plugins — which means more surface area to maintain.

Tenure

Where most memory systems rely on similarity search with soft boundaries, Tenure enforces hard scope isolation at the structural level: engineering beliefs stay in engineering sessions, Project A never bleeds into Project B. The vendor's benchmark claims a drift score of 0.00 against competing memory systems that score above 0.80. Retrieval latency is documented at 15ms with 1.0 precision. The self-hosted Helm install takes roughly 30 seconds and exposes an OpenAI-compatible endpoint, so existing clients require no code changes. The ceiling appears when your team needs managed infrastructure or enterprise support — neither is documented on the vendor site.

Attribute	Beacon	Tenure
Pricing	Free	Paid
Free trial	No	No
Open source	Yes	No
Has API	No	Yes
Self-hosted option	Yes	Yes
Platforms	Linux, macOS, Windows	VS Code, VSCodium, OpenAI-compatible clients, Open WebUI, Kubernetes, Docker, Linux/macOS/Windows
Pros	Runs entirely on the local endpoint with no external data forwarding required, so organizations in regulated industries can capture AI agent telemetry without breaching data residency requirements. Normalizes agent activity into structured telemetry compatible with Wazuh, Elastic, and Splunk, so security teams can write detection rules against AI agent behavior using the same tooling they already maintain for the rest of the infrastructure. Captures the full activity chain — prompts, tool calls, file edits, approval workflows — which means audit trails hold up when a compliance team asks exactly what an agent touched and when, rather than reconstructing context after the fact. MIT-licensed and free with no paid tier, so there is no licensing negotiation before a regulated-industry proof of concept, and the full source is auditable by the security team before deployment. Structured for MDM-managed deployments, so enterprise IT teams can push Beacon alongside agent runtimes through existing device management pipelines rather than requiring manual per-machine setup.	Hard structural scope isolation between projects and teams, so Customer A's session beliefs cannot surface in Customer B's responses — the failure mode that probabilistic filters cannot fully prevent. Belief versioning with supersession, which means retired decisions are archived rather than deleted, giving you a full decision history for compliance audits without polluting active retrieval. OpenAI-compatible `/v1` endpoint, so VS Code, Open WebUI, and other OpenAI-client tools connect without code changes — reducing the integration cost that typically blocks memory layer adoption. No call-home telemetry and a self-hosted deployment model, which means memory data never transits a third-party API — a hard requirement for teams under data residency or regulatory constraints. Real-time audit trail recording identity, timestamp, and the triggering query at write time rather than reconstructed post-hoc, so the record holds up under compliance review.
Cons	Plugin coverage is scoped to the major local agent harnesses the project explicitly supports; agents running on runtimes outside that list produce no telemetry until a custom collector plugin is written and maintained — which delays security coverage for any team adopting a newer or less common agent framework. There is no hosted dashboard or managed backend, which means the security team owns the full stack: endpoint deployment, SIEM routing, schema mapping, and alert logic. Teams without an operational SIEM who want a turnkey monitoring UI will abandon Beacon for a hosted observability product before the first sprint ends. The project carries a small contributor base at the time of publication; teams depending on active maintenance for fast-moving agent runtimes accept the risk that plugin support lags runtime updates, requiring internal engineering to bridge the gap or switch to a vendor with a dedicated support contract.	The Helm chart deployment requires a running Kubernetes cluster; teams without that infrastructure hit a dead end before they can evaluate the memory layer itself, and the vendor documents no alternative managed hosting path. Scope isolation is a structural guarantee only within Tenure's own belief store — if your agent pipeline mixes Tenure with a separate vector store or retrieval layer, cross-contamination risk migrates to the boundary between systems rather than disappearing. There is no documented managed cloud tier, which means teams that need to move fast without owning infrastructure operations will reach for a competitor like Mem0 or a hosted vector memory service, accepting the drift trade-off in exchange for operational simplicity.

Bottom line

Beacon is free while Tenure is paid; Beacon is open source; only Tenure exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Beacon and Tenure?

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

Is Beacon better than Tenure?

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.

Beacon vs Tenure: which should I pick?

Pick Beacon if its pricing model, openness, or platform fit matches your constraints; pick Tenure otherwise. Check free-trial availability on each listing if you want to test before committing.

Comparison data is sourced and verified by the AIDiveForge data pipeline. AIDiveForge is editorially independent.