debate.tellodb vs gate-oc-audit

debate.tellodb and gate-oc-audit 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.

debate.tellodb

The core mechanism is fact supersession: when a user moves from NYC to SF, TelloDB marks the old location as stale and filters it from active agent context — so the LLM never hallucinates a two-year-old truth. A hybrid HNSW vector plus BM25 search index handles recall, while a separate Metric Vault layer resolves numeric queries deterministically before they ever reach the LLM. The vendor reports p99 retrieval at 4.2ms and benchmarks recall precision above 95% on LongMemEval-S against 68% for standard RAG. The engine ships as a single Rust binary, self-hostable or deployable on the vendor's platform. At v0.1.0, the surface area is narrow — this is a memory layer, not a full agent runtime.

gate-oc-audit

Gate operates as a drop-in proxy: your agent points at one endpoint, Gate inspects every outbound prompt and every inbound response, then enforces the policy you write — blocking injections, redacting secrets and PII, flagging ambiguous cases, and writing every decision to a tamper-evident audit log anchored to a blockchain. The vendor reports 97.4% F1 across 16 public prompt-injection benchmarks and a head-to-head F1 of 96.6% versus Lakera Guard's 83.7% on four matched datasets; methodology and per-benchmark scores are published. Token compression and prefix caching run on every request, and the vendor states users see 20% or more token savings without changing model outputs. Gate is in private beta with no self-hosted deployment option, so teams with hard data-residency requirements hit a wall immediately.

Attribute	debate.tellodb	gate-oc-audit
Pricing	Paid	Paid
Free trial	No	No
Open source	No	Yes
Has API	Yes	Yes
Self-hosted option	Yes	No
Platforms	Self-hosted binary, platform deployment	Web proxy, desktop app
Pros	Fact supersession automatically marks prior user states as stale when contradicted by new input, so your agent stops confidently telling a user their old address is current. Deterministic aggregation in the Metric Vault resolves count and numeric queries before the LLM sees them, which means you stop relying on the model to do arithmetic over memory and stop getting wrong counts. Hybrid HNSW vector plus BM25 search runs in a single Rust binary, so you avoid stitching together a vector store and a keyword search service as separate infrastructure dependencies. Self-host path with an air-gapped proxy gateway option, so teams with data residency requirements can run the memory layer inside their own perimeter without routing user data through a third-party hosted service. Distillation pipeline extracts structured facts from raw conversational text rather than storing full transcripts, which means context windows stay narrow and you are not paying to re-embed every filler word.	Proxy-based architecture means your agent changes one endpoint, not its entire codebase, so you get injection defense without a rewrite and without touching model provider credentials. Bidirectional inspection catches both inbound injections from tool responses and outbound PII or credential leaks in model replies, which means a single misconfigured response cannot silently send a customer's SSN or an AWS key to the wrong place. Vendor-published benchmark methodology with per-dataset scores lets you audit the 97.4% F1 claim yourself rather than taking marketing copy on faith — which matters when you are deciding whether to put this in front of production traffic. Inline token compression and cache-prefix marking run automatically, so teams switching from direct API calls to Gate can offset the added infrastructure cost against token savings the vendor states average 20% or more per request. Policy-driven rule enforcement writes every block, redact, and flag decision to a tamper-evident audit log, so compliance reviews have a verifiable record of what the agent was told and what it said — without manual logging code in your agent.
Cons	TelloDB is a memory substrate only — it provides no agent task planning, tool-calling scaffolding, or workflow logic. Teams that need a full agent runtime will integrate TelloDB as a dependency inside a separate framework (LangGraph, CrewAI, or similar), which means owning the glue code and debugging across two systems when memory retrieval and task execution diverge. The project is at v0.1.0 with the open-source release flagged as new. The knowledge graph engine and temporal truth decay subsystems are advertised but lack the community-tested surface area of established memory stores. Teams building production agents that cannot tolerate evolving APIs will hit breaking changes before the interface stabilizes. Fact supersession logic is deterministic by design, which works cleanly for discrete facts like location or ownership — but nuanced preference evolution ("I mostly still like coffee but only in the mornings now") requires the application layer to model partial invalidation explicitly. Teams handling ambiguous or graduated state changes find themselves writing conflict-resolution logic that the engine does not provide out of the box, at which point simpler alternatives backed by relational stores start looking more tractable.	No self-hosted deployment option exists on the current vendor page. Teams in healthcare, finance, or government with data-residency or network-isolation requirements cannot use Gate at all — they move to on-premise alternatives or build detection in-house. The 1% false-positive rate reported in the benchmark means Gate will block or flag legitimate requests. At low request volumes this is a minor inconvenience; in high-throughput pipelines where a blocked call means a failed agent task, teams need a human-review queue or a fallback path — neither of which is described in the current docs, adding implementation overhead. Private beta access is invite-only with no stated general availability timeline on the vendor page, so teams cannot schedule Gate into a production roadmap with confidence. Projects that need a committed SLA or guaranteed capacity move to established providers like Lakera Guard despite the lower reported benchmark scores.

Bottom line

Gate-oc-audit is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between debate.tellodb and gate-oc-audit?

debate.tellodb is Paid, while gate-oc-audit is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is debate.tellodb better than gate-oc-audit?

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.