AgentOps
When Mem0 is connected, gains Memory Operation Timeline, Search Analytics, Memory Growth tracking, Error Tracking per memory call. Standalone, records context at each step but doesn't analyse memory quality.
At a glance
- Type
- Operational metrics for agent memory
- Tier
- T2
- Created
- 2023 (founded 2023 by Alex Reibman Adam Silverman Braelyn Boynton; pre-seed Aug 2024)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- free tier; Pro/Enterprise pricing not publicly listed; contact sales
- Funding
- $2.6M pre-seed (645 Ventures + Afore Capital; Aug 2024)
Taxonomy
- storage
- relational
- retrieval
- exact-match
- persistence
- long-term
- update
- append-only
- unit
- episode
- governance
- auditable
- conflict
- n/a
When to use
Optimised for: memory operation tracing + drift / poisoning detection
Anti-fit: not for use cases that don't run agent workloads in production
Pros & cons
Pros
Agent-loop observability with strong memory-step instrumentation; integrates with Mem0.
Cons
Agent-orchestration tilted; less broad than Galileo / Langfuse for general LLM observability.
Claims & capabilities
400+ LLM integrations. Free tier; Pro/Enterprise pricing not public.
Technical surface
- API surface
- REST, SDK: Python, JS/TS
- Backend storage
- custom
- Deployment
- SaaS cloud; SDK integration into agent code
- Embedding model
- not applicable — observability
- Multi-tenancy
- namespace
- MCP
- via official adapter
- A2A
- no data — searched agentops.ai, docs.agentops.ai, docs.agentops.ai/v2/integrations, README on AgentOps-AI/agentops; A2A protocol not advertised (CrewAI/AG2/LangGraph/Autogen integrations only)
- OpenTelemetry
- first-class — OTel-native
Similar systems
Other memory observability & monitoring in the catalog, ranked by inbound references.
- Galileo (galileo.ai) T1
Treats memory as first-class in multi-agent tracing. Luna-2 SLMs (3B / 8B) scan every interaction for intent drift and belief drift; 20+ checks at sub-200ms latency. Catches when agent A's view of the world splits from teammate B's. OpenTelemetry-compatible.
- Langfuse T1
Memory module reads/writes captured as named spans. Trace Log View concatenates every agent step including memory ops. Agent Graphs (GA 2025) infer graph structure from observation nesting; session-level replay tracks how memory state evolves.
- LangSmith T1
Memory reads, vector DB retrievals, state changes are distinct span types in traces. RAG eval separates retrieval quality (context precision) from generation quality (faithfulness). Dataset versioning guards against eval drift.
- Ratine T2
Only tool found that scans the persistent memory layer on disk rather than runtime tracing. Detects injected instructions, obfuscated payloads (zero-width Unicode, base64, homoglyphs, hex), C2-pattern URLs, credential leakage. ratine diff compares snapshots for belief drift.
Related systems
References (1)
- Mem0 integrates with — When Mem0 is connected, gains Memory Operation Timeline, Search Analytics, Memory Growth tracking, Error Tracking per memory call.