Langfuse
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.
At a glance
- Type
- Memory ops as named spans + Agent Graphs
- Tier
- T1
- Created
- 2023-03 (Langfuse founded March 2023; LLM observability beta summer 2023; GA Feb 2024)
- Latest release
- not applicable — not OSS
- License
- not applicable — not OSS
- GitHub
- not applicable — no GitHub repo
- Pricing
- free: 50K observations/mo; Pro: $59/mo; Team: $199/mo; Enterprise: custom; acquired by ClickHouse so pricing evolut…
- Funding
- acquired · 2026-01
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
OSS-first LLM observability with a polished cloud option — self-hostable for compliance-sensitive shops; large open-source community.
Cons
Memory-specific observability is improving but less domain-specialized than Galileo's purpose-built memory views.
Claims & capabilities
No automated drift / poisoning detection — structural observability only. Free 50k observations; Pro $59/mo; Team $199/mo.
Technical surface
- API surface
- REST, SDK: Python, JS/TS
- Backend storage
- Postgres + ClickHouse
- Deployment
- SaaS cloud (Berlin + SF) or self-hosted Docker/K8s; ClickHouse native integration post-acquisition
- Embedding model
- not applicable — observability product
- Multi-tenancy
- namespace (org/project)
- MCP
- via official adapter — langfuse-mcp
- A2A
- no data — searched langfuse.com, langfuse.com/docs, langfuse.com/integrations; A2A protocol not advertised (extensive framework integrations, MCP server present, OTel-native)
- OpenTelemetry
- first-class — native OTel SDK
Compare Langfuse with…
Similar systems
Other memory observability & monitoring in the catalog, ranked by inbound references.
- AgentOps T2
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.
- 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.
- 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.