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Comparison · DevOps

Agno vs Speakeasy

A side-by-side editorial comparison of Agno and Speakeasy — release velocity, themes, recent moves, and the top alternatives to consider.

Agno vs Speakeasy: at a glance

FeatureAgnoSpeakeasy
SectorDevOpsDevOps
Velocity score10.010.0
Sparks · 30d11
Top themesagentos, observability, durable-state, provider-integrationsai-governance, shadow-mcp, policy-enforcement, agent-observability
Last editorial update6d ago1d ago
Website

What is Agno?

Agno keeps building the operations layer around its agents, not just the agents.

Agno is an agent framework that spent this window shipping the surfaces a deployment needs rather than new agent abstractions: aggregate latency and error stats in traces, a status endpoint for background metrics refreshes, a durable FileSystem that survives process restarts, and AgentOSTools, which lets an agent read its own platform's traces. Provider work continues in parallel — Smallest AI text-to-speech, OpenSearch as a vector store, Moonshot thinking toggles and multimodal input. The newest release moves in a different direction, adding followup suggestions an agent hands back to its user at the end of a response.

Read the full Agno trajectory →

What is Speakeasy?

Speakeasy stopped inventorying MCP servers and started adjudicating them.

Speakeasy ships near-daily platform releases with unusually legible notes — each headline states what changed for a user, not a version number. The current one turns the Shadow MCP page into a single review surface where every server carries an approval state and an automatically gathered evidence dossier: publisher, requested scopes, declared capabilities, maintenance signals, and whether internal teams already talk to it. Decisions enforce on record. Around it, the assistant surfaces have been consolidating: one detail panel for configuration and observation, exact session totals, and canonical identities folding a person's work and personal AI accounts together.

Read the full Speakeasy trajectory →

Agno vs Speakeasy: editorial side-by-side

A
Agno
DEVOPS
10.0

Agno keeps building the operations layer around its agents, not just the agents.

◆ Current state

Agno is an agent framework that spent this window shipping the surfaces a deployment needs rather than new agent abstractions: aggregate latency and error stats in traces, a status endpoint for background metrics refreshes, a durable FileSystem that survives process restarts, and AgentOSTools, which lets an agent read its own platform's traces. Provider work continues in parallel — Smallest AI text-to-speech, OpenSearch as a vector store, Moonshot thinking toggles and multimodal input. The newest release moves in a different direction, adding followup suggestions an agent hands back to its user at the end of a response.

◆ Where it's heading

The centre of gravity is AgentOS. Most of what shipped assumes an Agno deployment that is already running, already traced, and now needs to be inspected, kept durable, and reported on. Integrations are additive and follow a consistent pattern — a toolkit or vectordb slotted in without changing what agents can do. Followup suggestions is the first entry here aimed at the person using an agent rather than the person operating one, and it is built the same way the rest is: an optional flag, a second model call, a field on the response.

◆ Prediction

Expect the AgentOS surface to keep widening — the ops toolkit reads from the database today, so a live handle or write-capable operations are the obvious next step. Whether followup suggestions signals a broader end-user layer or is a one-off convenience is not clear from these entries.

S
Speakeasy
DEVOPS
10.0

Speakeasy stopped inventorying MCP servers and started adjudicating them.

◆ Current state

Speakeasy ships near-daily platform releases with unusually legible notes — each headline states what changed for a user, not a version number. The current one turns the Shadow MCP page into a single review surface where every server carries an approval state and an automatically gathered evidence dossier: publisher, requested scopes, declared capabilities, maintenance signals, and whether internal teams already talk to it. Decisions enforce on record. Around it, the assistant surfaces have been consolidating: one detail panel for configuration and observation, exact session totals, and canonical identities folding a person's work and personal AI accounts together.

◆ Where it's heading

The arc runs observe, then intercept, now adjudicate. Earlier releases catalogued spend and inventoried shadow MCP servers; the LiteLLM integration moved enforcement to the proxy so a violating prompt dies before inference; this release supplies the judgment layer, doing the research an approver would otherwise do by hand. The supporting work points the same way — prompt-injection scanning of captured skill manifests, risk policies that pause instead of being deleted, identity resolution that reports a whole person rather than an account. Each is a piece a control plane needs before its verdicts can be trusted.

◆ Prediction

Expect approval state to start gating traffic rather than only recording a decision, and the evidence dossier to extend from MCP servers to the skills and assistants already being captured. The rollout flag on the approval workflow suggests general availability is the next step rather than new capability.

Alternatives to Agno and Speakeasy

Other DevOps products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Agno or Speakeasy.

See all Agno alternatives → · See all Speakeasy alternatives →

Recent activity from Agno and Speakeasy

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 4d agoSpeakeasyApprove or deny MCP servers with gathered evidence, and pause risk policies without deleting them
  2. 5d agoSpeakeasyExact assistant session totals and a hardened dashboard
  3. 6d agoSpeakeasyConfigure and observe assistants from one panel, and see one person behind many accounts
  4. 6d agoSpeakeasyFaster assistants, file attachments in chat, and organization names in every language
  5. 7d agoAgnoFollowup suggestions in Agno: give users their next question
  6. 8d agoSpeakeasyAssistants can see images from Slack, and skills are scanned for prompt injection
  7. 10d agoSpeakeasyDevice Agent is out of preview, with a one-step signed macOS installer
  8. 20d agoAgnoRun knowledge search on OpenSearch, with hybrid built in
  9. 20d agoAgnoGive your agents a voice with Smallest AI
  10. 20d agoAgnoPoll the status of background metrics refreshes
  11. 23d agoAgnoAsk your AgentOS how it's doing, in plain English
  12. 23d agoAgnoBreak down agent latency and errors in your traces

Frequently asked questions

What is the difference between Agno and Speakeasy?

They serve adjacent needs but don't currently overlap on shipped themes. Agno and Speakeasy are shipping at a similar cadence (velocity 10.0 vs 10.0, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Agno better than Speakeasy?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Agno and Speakeasy are shipping at a similar cadence (velocity 10.0 vs 10.0, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other DevOps products to evaluate alongside.

What are the best alternatives to Agno?

Top Agno alternatives in DevOps are ranked by recent ship velocity. Browse the "Agno alternatives" section above for the current picks, or visit /alternatives/agno for the full list with editorial commentary on each.

What are the best alternatives to Speakeasy?

Top Speakeasy alternatives in DevOps are ranked by recent ship velocity. Browse the "Speakeasy alternatives" section above for the current picks, or visit /alternatives/speakeasy for the full list with editorial commentary on each.