Home/Compare/codebase-memory-mcp vs autogen

Comparison

codebase-memory-mcp vs autogen

Verdict

Pick codebase-memory-mcp when codebase-memory-mcp is primarily C; autogen is Python; pick autogen when autogen is primarily Python; codebase-memory-mcp is C.

Markdown twin · codebase-memory-mcp alternatives · autogen alternatives

GraphCanon updated today

codebase-memory-mcp logo

codebase-memory-mcp

DeusData/codebase-memory-mcp

30kpushed Jul 11, 2026
vs
autogen logo

autogen

microsoft/autogen

60kpushed Apr 15, 2026

Trust & integrity

Signalcodebase-memory-mcpautogen
Maintenance
Very active (0d since push)
As of today · github_public_v1
Steady (87d since push)
As of today · github_public_v1
Provenance
Not a fork · Personal account
As of today · github_public_v1
Not a fork · Organization account
As of today · github_public_v1
Security (OSV)
No MCP manifest
As of today · mcp_manifest
No lockfile
As of today · none

Tagline

codebase-memory-mcp
High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary
autogen
A programming framework for agentic AI

Stars

codebase-memory-mcp
30k
autogen
60k

Forks

codebase-memory-mcp
2.4k
autogen
9.0k

Open issues

codebase-memory-mcp
223
autogen
945

Language

codebase-memory-mcp
C
autogen
Python

Adopt for

codebase-memory-mcp
-
autogen
AutoGen is a Python-based framework for developing and managing agentic AI systems. It includes the AutoGen Studio for no-code GUI setup, integrating with various models.

Persona

codebase-memory-mcp
-
autogen
-

Runtime

codebase-memory-mcp
-
autogen
-

License

codebase-memory-mcp
MIT
autogen
CC-BY-4.0

Last pushed

codebase-memory-mcp
Jul 11, 2026
autogen
Apr 15, 2026

Categories

codebase-memory-mcp
Developer Tools, LLM Frameworks
autogen
AI Agents, LLM Frameworks

Trust and health

Maintenance

codebase-memory-mcp
Very active (96%)
autogen
Steady (60%)

Days since push

codebase-memory-mcp
0d
autogen
87d

Open issues (now)

codebase-memory-mcp
223
autogen
945

Owner type

codebase-memory-mcp
User
autogen
Organization

Security scan

codebase-memory-mcp
No MCP manifest
autogen
No lockfile

Full report

codebase-memory-mcp
Trust report

Choose codebase-memory-mcp if…

  • codebase-memory-mcp is primarily C; autogen is Python.
  • License: codebase-memory-mcp is MIT, autogen is CC-BY-4.0.
  • Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis.
  • Also covers Developer Tools.

When NOT to use codebase-memory-mcp

  • Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
  • LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.

Choose autogen if…

  • autogen is primarily Python; codebase-memory-mcp is C.
  • License: autogen is CC-BY-4.0, codebase-memory-mcp is MIT.
  • Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure..
  • Tags unique to autogen: agentic-agi, agents, ai, autogen.
  • Also covers AI Agents.
  • You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.

When NOT to use autogen

  • If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework.
  • When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited.
  • You need solutions which do not involve additional installations for server components such as `playwright/mcp`, as AutoGen requires this setup for certain functionalities.

Explore

Sources

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

GitHub stars on cards: codebase-memory-mcp 30k · autogen 60k (synced Jul 11, 2026).

Common questions

What is the difference between codebase-memory-mcp and autogen?
codebase-memory-mcp: High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary. autogen: A programming framework for agentic AI. See the comparison table for live GitHub stats and shared categories.
When should I choose codebase-memory-mcp over autogen?
Choose codebase-memory-mcp over autogen when codebase-memory-mcp is primarily C; autogen is Python; License: codebase-memory-mcp is MIT, autogen is CC-BY-4.0; Tags unique to codebase-memory-mcp: aider, ast, claude-code, code-analysis; Also covers Developer Tools.
When should I choose autogen over codebase-memory-mcp?
Choose autogen over codebase-memory-mcp when autogen is primarily Python; codebase-memory-mcp is C; License: autogen is CC-BY-4.0, codebase-memory-mcp is MIT; Requirements: Min 4 GB RAM; AutoGen requires Python 3.10 or later.; Ensure security when connecting to MCP servers due to the potential for local command execution and sensitive information exposure.; Tags unique to autogen: agentic-agi, agents, ai, autogen; Also covers AI Agents; You need a framework that supports integration with multiple AI models via OpenAI's chat completion client.
When should I avoid codebase-memory-mcp?
Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
When should I avoid autogen?
If you require tools supporting multiple programming languages beyond Python, as AutoGen is strictly a Python-based framework. When deploying in environments where connecting to external servers (like those used by MCP) could pose security risks or is prohibited. You need solutions which do not involve additional installations for server components such as playwright/mcp, as AutoGen requires this setup for certain functionalities.
Is codebase-memory-mcp or autogen more popular on GitHub?
autogen has more GitHub stars (59,658 vs 29,913). Stars measure visibility, not whether either tool fits your constraints.
Are codebase-memory-mcp and autogen open source?
Yes - both are open-source projects on GitHub (codebase-memory-mcp: MIT, autogen: CC-BY-4.0).
Where can I find alternatives to codebase-memory-mcp or autogen?
GraphCanon lists graph-backed alternatives at codebase-memory-mcp alternatives and autogen alternatives (codebase-memory-mcp markdown twin, autogen 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, codebase-memory-mcp or autogen?
codebase-memory-mcp: Very active. autogen: Steady. 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 codebase-memory-mcp and autogen?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: codebase-memory-mcp trust report; autogen trust report.