Home/Compare/lagent vs pi-mcp-adapter

Comparison

lagent vs pi-mcp-adapter

Verdict

Pick lagent if lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents; pick pi-mcp-adapter if pi-mcp-adapter is a TypeScript-based MCP adapter tailored for efficient token usage with Pi, an AI coding assistant.

Markdown twin · lagent alternatives · pi-mcp-adapter alternatives

GraphCanon updated 1w

lagent logo

lagent

InternLM/lagent

2.3kpushed Aug 3, 2026
vs
pi-mcp-adapter logo

pi-mcp-adapter

nicobailon/pi-mcp-adapter

1.1kpushed Jul 25, 2026

Trust & integrity

Signallagentpi-mcp-adapter
Maintenance
Active (12d since push)
As of 1w · github_public_v1
Very active (1d since push)
As of 4w · github_public_v1
Provenance
Not a fork · Organization account
As of 1w · github_public_v1
Not a fork · Personal account
As of 4w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
As of 1mo · osv@v1
deps.dev advisories
Not queried
deps.dev@v1
Not queried
deps.dev@v1
OpenSSF Scorecard
Not queried
openssf-scorecard@v1
Not queried
openssf-scorecard@v1

Tagline

lagent
A lightweight framework for building LLM-based agents
pi-mcp-adapter
Token-efficient MCP adapter for Pi coding agent

Stars

lagent
2.3k
pi-mcp-adapter
1.1k

Forks

lagent
238
pi-mcp-adapter
221

Open issues

lagent
24
pi-mcp-adapter
4

Language

lagent
Python
pi-mcp-adapter
TypeScript

Adopt for

lagent
lagent is a Python framework aimed at streamlining the creation of lightweight Large Language Model (LLM) agents.
pi-mcp-adapter
pi-mcp-adapter is a TypeScript-based MCP adapter tailored for efficient token usage with Pi, an AI coding assistant.

Persona

lagent
-
pi-mcp-adapter
-

Runtime

lagent
-
pi-mcp-adapter
-

License

lagent
lagent is open-source under the Apache-2.0 license, allowing for broad use and modification with attribution.
pi-mcp-adapter
Licensed under MIT

Last pushed

lagent
Aug 3, 2026
pi-mcp-adapter
Jul 25, 2026

Categories

lagent
AI Agents, LLM Frameworks
pi-mcp-adapter
AI Agents

Trust and health

Maintenance

lagent
Active (82%)
pi-mcp-adapter
Very active (96%)

Days since push

lagent
12d
pi-mcp-adapter
1d

Open issues (now)

lagent
24
pi-mcp-adapter
4

Stars delta

lagent
+8 (30d)
pi-mcp-adapter
Unknown

Open issues delta

lagent
+1 (30d)
pi-mcp-adapter
Unknown

Owner type

lagent
Organization
pi-mcp-adapter
User

Full report

pi-mcp-adapter
Trust report

Choose lagent if…

  • lagent is primarily Python; pi-mcp-adapter is TypeScript.
  • License: lagent is Apache-2.0, pi-mcp-adapter is MIT.
  • Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs..
  • Tags unique to lagent: agent, gpt, transformers.
  • Also covers LLM Frameworks.
  • When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.

When NOT to use lagent

  • Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility.
  • Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.

Choose pi-mcp-adapter if…

  • pi-mcp-adapter is primarily TypeScript; lagent is Python.
  • License: pi-mcp-adapter is MIT, lagent is Apache-2.0.
  • Requirements: pi-mcp-adapter operates in a TypeScript environment and requires that the project already supports TypeScript..
  • Tags unique to pi-mcp-adapter: ai, claude, coding-agent, extension.
  • pi-mcp-adapter ships an MCP server manifest.
  • Use when working with Pi, the AI coding assistant, to optimize token efficiency within Model Context Protocol environments.

When NOT to use pi-mcp-adapter

  • Avoid if your project does not align with TypeScript or the Model Context Protocol framework as pi-mcp-adapter is specifically tailored for these contexts.
  • Do not use when working on projects that do not involve Pi coding assistant, as its functionalities are directly tied to this specific AI tool.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: lagent 2.3k · pi-mcp-adapter 1.1k (synced Aug 16, 2026).

Common questions

What is the difference between lagent and pi-mcp-adapter?
lagent: A lightweight framework for building LLM-based agents. pi-mcp-adapter: Token-efficient MCP adapter for Pi coding agent. See the comparison table for live GitHub stats and shared categories.
When should I choose lagent over pi-mcp-adapter?
Choose lagent over pi-mcp-adapter when lagent is primarily Python; pi-mcp-adapter is TypeScript; License: lagent is Apache-2.0, pi-mcp-adapter is MIT; Pricing: Available freely due to its open-source nature, but customization or enterprise support might involve additional costs.; Tags unique to lagent: agent, gpt, transformers; Also covers LLM Frameworks; When you need a streamlined approach to develop LLM-based agents with minimal overhead, lagent can be particularly advantageous due to its lightweight design.
When should I choose pi-mcp-adapter over lagent?
Choose pi-mcp-adapter over lagent when pi-mcp-adapter is primarily TypeScript; lagent is Python; License: pi-mcp-adapter is MIT, lagent is Apache-2.0; Requirements: pi-mcp-adapter operates in a TypeScript environment and requires that the project already supports TypeScript.; Tags unique to pi-mcp-adapter: ai, claude, coding-agent, extension; pi-mcp-adapter ships an MCP server manifest; Use when working with Pi, the AI coding assistant, to optimize token efficiency within Model Context Protocol environments.
When should I avoid lagent?
Avoid using lagent if your project necessitates integration with a broader set of tools that are not natively supported by this framework, as it offers limited out-of-the-box extensibility. Steer clear if you need robust scalability features right from the start. While lightweight, lagent may require additional custom work to handle more demanding scaling requirements.
When should I avoid pi-mcp-adapter?
Avoid if your project does not align with TypeScript or the Model Context Protocol framework as pi-mcp-adapter is specifically tailored for these contexts. Do not use when working on projects that do not involve Pi coding assistant, as its functionalities are directly tied to this specific AI tool.
Is lagent or pi-mcp-adapter more popular on GitHub?
lagent has more GitHub stars (2,276 vs 1,072). Stars measure visibility, not whether either tool fits your constraints.
Are lagent and pi-mcp-adapter open source?
Yes - both are open-source projects on GitHub (lagent: Apache-2.0, pi-mcp-adapter: MIT).
Where can I find alternatives to lagent or pi-mcp-adapter?
GraphCanon lists graph-backed alternatives at lagent alternatives and pi-mcp-adapter alternatives (lagent markdown twin, pi-mcp-adapter markdown twin), ranked by typed relationship edges rather than popularity votes.
Is there a machine-readable version of this comparison?
Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
Which is better maintained, lagent or pi-mcp-adapter?
lagent: Active. pi-mcp-adapter: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
Where are the full trust reports for lagent and pi-mcp-adapter?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lagent trust report; pi-mcp-adapter trust report.

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