AxioRank vs debate.tellodb

AxioRank and debate.tellodb 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.

AxioRank

AxioRank sits between your agents and every surface they can reach — MCP servers, APIs, databases — and runs a verify-score-decide-record pipeline on every tool call before anything executes. Short-lived tokens default to a 15-minute lifetime, so a leaked credential expires before it causes damage. Thirty-one content detectors score each payload for credential leakage, destructive SQL, and SSRF attempts, and the policy engine resolves deny-overrides in under 100 ms on the synchronous path. The vendor states secrets are fingerprinted but never stored, and audit rows are redacted and append-only. SSO and extended audit retention are paid-only features, so teams with strict compliance requirements hit that wall fast.

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.

Attribute	AxioRank	debate.tellodb
Pricing	Paid	Paid
Price	$49/mo	—
Free trial	No	No
Open source	No	No
Has API	Yes	Yes
Self-hosted option	No	Yes
Platforms	—	Self-hosted binary, platform deployment
Pros	Short-lived tokens with a 15-minute default lifetime, so a credential leak from a tool call expires before an attacker can replay it — without requiring your agents to be rewritten. 31 payload detectors scanning for credential exposure, destructive SQL, and SSRF on every tool call, which means a model generating a DELETE without a WHERE clause or pointing an agent at the cloud metadata endpoint gets caught before execution. Deny-overrides policy engine returning a decision in under 100 ms on the synchronous path, so enforcement does not require async sidecars or post-execution callbacks — the agent never hears back if the call is denied. Default-deny tool and egress allowlist, so any tool or external endpoint your agent calls that you have not explicitly approved is blocked — closing the gap that permissive-by-default frameworks leave open. Redacted append-only audit rows on every tool call, so your compliance team has a signed trail of what every agent did and when, without secrets appearing in the log.	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.
Cons	The default-deny allowlist requires enumerating every tool call and egress destination before the gateway can run in production. Teams with agents that make ad-hoc or dynamically generated API calls spend a significant configuration phase building that list — and any undocumented call path the agent needs gets blocked on first contact. SSO and extended audit retention are paid-only features. Security teams at organizations where SSO is a non-negotiable access control requirement hit this wall immediately and must upgrade before they can evaluate the tool against their compliance checklist. There is no self-hosted option. Teams in environments where all security tooling must run inside their own perimeter — regulated industries, air-gapped infrastructure — cannot deploy AxioRank and move to a competitor or build an in-house gateway instead. No named competitors in the market segment means teams vetting this tool have no established benchmark for comparison, which extends the evaluation cycle for procurement teams required to document alternatives before approving spend.	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.

Bottom line

AxioRank and debate.tellodb are closely matched on pricing model, openness, and API availability — pick by feature set and platform support in the table above.

Frequently asked questions

What is the difference between AxioRank and debate.tellodb?

AxioRank is Paid, while debate.tellodb is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AxioRank better than debate.tellodb?

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.