Catalog Systems Recent method papers — theorized, no distinct product MPO

MPO

Boosts LLM agents with meta plan optimisation. EMNLP 2025.

Active · Verified 2026-10-28 · fresh as of 2026-10-28 · 17 cited facts, 0 with a third-party source · Suggest a correction

At a glance

Type
Meta plan optimisation paper fix
Tier
T3
Section
Recent method papers — theorized, no distinct product
Created
2025-03 (MPO: Boosting LLM Agents with Meta Plan Optimization; arxiv 2503.02682 submitted March 2025) paper fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Pricing
not applicable — not commercial fix
Funding
not applicable — not commercial fix
Freshness
2026-10-28 fix
Layer
agent-infra repo fix

Memory taxonomy

storage
vector
retrieval
similarity
persistence
cross-session
update
extraction
unit
skill
governance
n/a
conflict
llm-arbitrate

When to use

Optimised for: not applicable - research paper

Anti-fit: not applicable - research paper

Pros & cons

Pros

Boosts LLM agents with meta plan optimisation — explicit plan-level improvement loop; EMNLP 2025.

Cons

Plan-optimization adds inference cost; quality bounded by base planner.

Claims & capabilities

Meta Plan Optimization framework that incorporates explicit guidance via high-level meta plans, continuously optimized from task execution feedback; plug-and-play solution avoiding retraining for new agents; significantly outperforms baselines on two representative tasks; EMNLP 2025 Findings

Technical surface

API surface
not applicable — research paper
Backend storage
not applicable — research paper
Deployment
not applicable — not a deployable product
Embedding model
not applicable — research paper
Multi-tenancy
not applicable — research paper
MCP
not applicable — research paper, no deployed product
A2A
not applicable — research paper, no deployed product
OpenTelemetry
not applicable — research paper, no deployed product

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  • Generative Agents T3

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Sources (16 cited facts, 0 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).