github Archived

trailofbits/manticore

Symbolic execution tool

1 awesome list

Quick read

Stars
3,855
Forks
496
Open issues
261
Commits
1,124

Activity and growth

Latest capture 2026-11-03 09:41

Stars · last 7 days
0 0.0%
Commits · last 7 days
0 0.0%
Stars since tracking
0
Stored snapshots
1

Compare the starting count and capture dates, not just the percentage. How to read GitHub star growth. Missing history is not zero growth.

Classification

Metadata

Language
Python
License
AGPL-3.0
Default branch
master
Created
2017-02-10
First commit
2017-02-13
Last pushed
2026-06-24
GitHub updated
2026-11-02
Last synced
2026-11-03 09:41
Stack scanned
2026-11-03 09:41
Archived
Yes

Archive status reflects the last catalog sync, not a maintenance assessment. Check recent releases, issue responses, and fit for your project with the repository shortlisting checklist.

AI development signals

0 paths

Agent instructions and tool configuration found in this repository.

No config files detected.

Growth history

Tracked growth

1 observed capture since 2026-11-03. Observed captures are shown by default.

Stars from first capture 0

Chart data

Observed captures only

Time horizon

All tracked data

Custom date range

Stars history

Observed snapshots

Commits history

Observed snapshots

Similar repositories

Nearest indexed repositories by embedding similarity.

manticoresoftware/manticoresearch

Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.

12,057 stars
C++ 5 awesome lists

open-mmlab/mmengine

OpenMMLab Foundational Library for Training Deep Learning Models

1,499 stars
Python 1 awesome list

Memento-Teams/Memento

Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

2,599 stars
Python 1 awesome list

bgauryy/octocode

Code research platform for AI agents; find, understand, and prove context across your code and all of GitHub, in a fraction of the tokens. One toolset, MCP or CLI

955 stars
TypeScript 0 awesome lists

Chimera-Protocol/csl-core

Find, prove and control the AI agents on your machines: discovers every agent and what it can reach, proves policies with Z3 + TLA+, enforces them deterministically outside the model.

27 stars
Python 1 awesome list