RAGFlow 1.0 rewrites the RAG engine in Go and drops Redis for NATS.
LiteLLM alternatives
The best LiteLLM alternatives in ai ml platforms, ranked by Sparkpulse's velocity_score.
Updated Oct 7, 2026
Looking for the best alternatives to LiteLLM? Sparkpulse tracks and ranks 4 alternatives in ai ml platforms by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, LiteLLM shipped 0 meaningful updates in the last 30 days and carries a velocity score of 2.6 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About LiteLLM
LiteLLM ships tags almost daily, but its notes say nothing beyond image signing.
LiteLLM cut ten tags in five days across three parallel lines: 1.101.x and 1.103.x patches, the 1.104 stable, and 1.105 dev and rc builds. Every captured note is the same cosign verification boilerplate. Signed Docker images are the one consistent, visible property.
Velocity 2.6 · Last update 1h ago
Top 4 alternatives to LiteLLM
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
Phoenix ships near-daily, steadily wiring evals and agent behavior into its traces.
Mem0 is teaching coding agents to search memory less and trust it more.
AnythingLLM is moving from a chat app to a local agent that lives across your desktop.
LiteLLM vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| LiteLLM (baseline) | 2.6 | 0 | llm gatewayrelease cadencesupply chain security | — |
| RAGFlow | 6.3 | 1 | raggo-rewriteai-agents | RAGFlow 1.0 RC1: full Go rewrite, NATS replaces Redis |
| Arize Phoenix | 2.6 | 0 | llm observabilitytracingevaluation | — |
| Mem0 | 2.6 | 0 | agent memorysdkcoding agents | — |
| AnythingLLM | 0.5 | 0 | local llmai agentsdesktop | Magic Features take the agent OS-wide on desktop |
The 4 best LiteLLM alternatives, in depth
1. RAGFlow · velocity 6.3
RAGFlow 1.0 rewrites the RAG engine in Go and drops Redis for NATS.
Over the last 30 days RAGFlow shipped 1 meaningful update vs LiteLLM's 0, most recently “RAGFlow 1.0 RC1: full Go rewrite, NATS replaces Redis”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where LiteLLM leans on llm gateway, release cadence and supply chain security, RAGFlow focuses on rag, go rewrite and ai agents.
Over the last 30 days RAGFlow has been shipping faster than LiteLLM — a point in its favour if release momentum matters to you.
2. Arize Phoenix · velocity 2.6
Phoenix ships near-daily, steadily wiring evals and agent behavior into its traces.
Its velocity score of 2.6/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, release cadence and supply chain security, Arize Phoenix focuses on llm observability, tracing and evaluation.
Arize Phoenix and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Arize Phoenix trajectory → · Compare LiteLLM vs Arize Phoenix →
3. Mem0 · velocity 2.6
Mem0 is teaching coding agents to search memory less and trust it more.
Its velocity score of 2.6/10 reflects longer-term release cadence.
Where LiteLLM leans on llm gateway, release cadence and supply chain security, Mem0 focuses on agent memory, sdk and coding agents.
Mem0 and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
4. AnythingLLM · velocity 0.5
AnythingLLM is moving from a chat app to a local agent that lives across your desktop.
Its velocity score of 0.5/10 reflects longer-term release cadence; its most recent meaningful update was “Magic Features take the agent OS-wide on desktop”.
Where LiteLLM leans on llm gateway, release cadence and supply chain security, AnythingLLM focuses on local llm, ai agents and desktop.
AnythingLLM and LiteLLM have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full AnythingLLM trajectory → · Compare LiteLLM vs AnythingLLM →
Frequently asked questions
What are the best alternatives to LiteLLM?
The top LiteLLM alternatives we currently track in ai ml platforms are RAGFlow, Arize Phoenix, Mem0, AnythingLLM, ranked by recent ship velocity.
How is this list of LiteLLM alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare LiteLLM directly with one of these alternatives?
Yes — every card has a "Compare with LiteLLM" link to a side-by-side /compare page.